Master's Entrance Exams
Multiple entrance exams are available for admission into Master of Science (MSc) programs. There are certain colleges that take direct admission while most of the prestigious colleges conduct entrance tests to grant admission to different courses offered by them. The table below highlights some significant university-level entrance tests that are essential for securing admission to MSc programs.
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TISS NET |
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PhD Entrance Exams
The admission to PhD programmes has become very difficult in the current scenario because of excessive demand of teachers. Many entrance level examinations are conducted to grant admission at PhD level. The table provided below comprises some national-level entrance exams along with their application deadlines, conducting authorities, examination dates, and other relevant details
The following are the essential skills that a scientist must possess.
Embarking on a career path to become a scientist abroad can be tedious and challenging. Students with aspirations to know how to become a scientists in abroad have to pursue their undergraduate, postgraduate, and doctoral degrees from foreign universities. The scientist qualification is very important to be part of the scientist fraternity anywhere across the globe. They must have a doctorate in a specialized area of science.
To pursue a degree abroad, students must engage in advance planning. They need to determine the appropriate timing and the field of specialization for their foreign degree. In order to gain admission to prestigious universities abroad and fulfill their dream of becoming a scientist, students must meet specific eligibility requirements, which are provided below.
To become a scientist abroad, there are typically no specific exams that universally apply to all countries or universities. However, the educational path usually involves completing a bachelor's degree in a relevant scientific field, followed by a master's and/or doctoral degree with a focus on research. Some universities may require standardized tests like GRE (Graduate Record Examination) for admission to graduate programs. One of the most common prerequisites is to qualify English language proficiency exams such as
In this article so far, we got to know how to become a scientist and what is the role of a scientist? There are many important skills that scientists must possess in order to become a good and reputed scientist. Some of the common and important skills to become a scientist are mentioned here for your reference:
Self-Motivation | Critical Thinking | Team Work |
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Adaptability | Problem Solving | Experimental Skills |
Management Skills | Business Acumen | Hard working |
The most common question that arises for the students who have interest in science is how to become a scientist after 12th? Becoming a scientist requires a passion for scientific inquiry, a strong educational foundation, and a commitment to continuous learning and research. If you aspire to become a scientist after completing your 12th grade, here are the general steps you can follow:
To become a scientist after graduation, one must pursue post graduate courses from a recognised and famous university. The candidates must score a minimum of 60% marks in graduation to get admission in good colleges. It should be noted that they must score 60% marks in science subjects as well as pass in each subject separately. To get admission in top colleges for postgraduate courses they might have to give entrance exams like CUET PG, JET, etc.
The famous exams required to become scientist after graduation are-
GATE | CAT | CUET PG |
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To know how to become a scientist after graduation, several key skills are essential for success in the field. Some of the prominent skills are mentioned below:
Strong Analytical Skills | Research Skills | Ethical Awareness |
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Communication Skills | Curiosity and Creativity | Adaptability |
The candidates who want to choose career as scientist must know how to become scientist eligibility criteria. They must meet the minimum educational scientist qualification. In meeting forensic scientist qualifications or any other specific field scientist one must meet these requirements first.
There is a wide variety of scientists to choose from, but some of the most prevalent categories of scientists include:
Type of Scientist | Role of Scientist |
Space Scientist | An individual who specializes in astronomy is dedicated to the study of celestial objects both within and beyond Earth. Astronomy encompasses various subfields, such as planetary science, solar astronomy, and more. |
Bioinformatics Scientist | A person who focuses on the study of life and its biological aspects is known as a biologist. Within the field of biological science, there are diverse subfields, including genetics, ecology, toxicology, biochemistry, and others. |
Atmospheric Scientist | An atmospheric scientist is someone who explores the various facets and analyses data to get a clear vision of weather, climate, and atmospheric conditions. |
Forensic Scientist | A forensic scientist is an individual who examines different chemical compounds, their formation, and functions. forensic scientist specialize in organic and inorganic aspects of chemistry, physical evidence identification,Physics, detection, etc |
Salaries for scientists can vary significantly depending on factors such as education level, experience, specialization, location, and the type of organization they work for. The figures provided below are approximate and should be used as a general guideline.
The average salary of a scientist in India can range from ₹300,000 to ₹1,000,000 or more per year. Entry-level scientists may earn around ₹300,000 to ₹500,000 annually, while experienced and senior-level scientists in reputed organizations or research institutions may earn ₹800,000 to ₹1,000,000 or higher.
Salary of Forensic Scientist can vary based on their specialization and the employing organization. On average, Salary of a Forensic Scientist can earn around ₹300,000 to ₹700,000 per year. Experienced and senior forensic scientists may earn up to ₹1,000,000 or more annually.
Salary of Research Scientists can differ significantly based on the area of research and the organization they are associated with. On average, the salary of Research Scientists can earn around ₹400,000 to ₹800,000 per year.
Becoming a scientist, whether in India or abroad, can be achieved through various qualification pathways. Aspiring students are required to successfully complete multiple courses on their journey to becoming a scientist. The details of important courses are mentioned here to become a scientist.
Bachelor’s Course
After completing Class XII, many science students opt for BSc as their preferred course of study. BSc offers comprehensive theoretical and practical knowledge in diverse scientific fields such as physical science, applied science, chemistry, mathematics, economics, biology, agriculture, horticulture, animation, and more.
Those with a keen interest in exploring interdisciplinary subjects involving science and mathematics can choose to pursue this course.
Master’s Course
MSc, which stands for Master of Science, is a postgraduate course spanning two years. It provides comprehensive theoretical and practical expertise in various scientific disciplines like Chemistry, Physics, Biology, Mathematics, Botany, Zoology, Pharmacy, and Nursing.
Several prestigious universities and colleges in India offer the Master of Science degree through both regular and distance learning modes. For those aspiring to pursue a Ph.D., obtaining an MSc degree is a prerequisite.
Candidates planning to enroll in an MSc program should possess essential skills such as problem-solving, analytical abilities, and research aptitude. The MSc syllabus varies based on the chosen specialization.
PhD Courses
There are many colleges that provide courses to become scientists. Some of the prominent colleges along with their average fee are mentioned below for quick reference:
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| Rs 61380 |
| Rs 59400 |
| Rs 73545 |
| Rs 129000 |
| Rs 243000 |
| Rs 44685 |
Sri Venkateswara | Rs 43665 |
| Rs 68685 |
The basic courses are required to proceed in the journey to become a scientist. Almost all universities provide courses to become a scientist. Some of the prominent universities are mentioned below:
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| Rs 131111 |
| Rs 20000 |
| Rs 46835 |
| Rs 6245 |
| Rs 109800 |
| Rs 21000 |
| Rs 9255 |
| Rs 76000 |
| Rs 102500 |
| Rs 100000 |
As discussed above, there are a number of distinctive fields that can help in choosing career as scientist. The different types of Scientists are based on the classification and specification studied and expertized in. Read in detail about these scientist job profiles and know about the type of work they perform and then choose the one that suits your interest.
Astronomer: An Astronomer is the one who studies about stars, galaxies and planets. Studying about the universe and the movement of the objects within it is the focus area of the Astronomers. These are specialists who read about the planetary movements and tracks celestial and non-celestial objects of the outer space.
Agronomist: Agronomy is the field of Science that deals with the study of agriculture and its technological growth. The person involved in carrying out the process of research and development giving rise to agricultural advancement is an Agronomist. Commonly referred as Plant Scientists, they are ones who read about the type and genetic existence of a plant, agricultural land and soil in order to produce the best out it.
Cytologist or Cytotechnologist: These scientists are the ones who work to describe the cell and the cellular movements and variations. Cytotechnology is a sub-stream of Biology focusing mainly on the cells. Study of DNA (deoxyribonucleic acid), cell structure, cell multiplication, cell functioning and life history and pathology of cells, are addressed by a Cytologist.
Ethologist: An Ethologist specializes in the study of animal behavior. Their main focus is to understand the behavior of animals under natural conditions and under man-made conditions. They also check the adaptive traits of the animals in an unnatural or evolutionary condition.
Botanist: An expert of the Plant Science or Botany is termed as a Botanist. They study about the flowering and non-flowering plants present in the environment. The structure, growth, evolution and uses of the plants are studied in detail by the Botanists. There are certain classified areas of Botany that structures and divides the task of a Botanist. These include – Plant Ecology, Plant Taxonomy and Chemical Biology. A Botanist can choose any one area of expertise among these and work as per the requirement of the subject-matter.
Epidemiologist: Spread of diseases in the human body is studied by the Epidemiologist. Epidemiology is that branch of Science that aims to extract the source origin of a disease and works on it to find a solution or remedies to cure the spreading or underdeveloped disease. They also study the behavior and habits of the individual before and after inducing a suitable drug for the spreading disease.
Microbiologists: Study of Fungi, Algae and Bacteria is done by a Microbiologist. Dealing with the evolution, structure and growth of the microscopic animals and plants is the role of the Microbiologists. Their role also comprises of the study of disease-causing organisms and organisms responsible for environmental damages. Study of the organisms that are of agricultural and industrial interest also falls under the study circle of a Microbiologist.
Geologist: They are the ones who study the three states of matters ie. Solid, Liquid and Gaseous substance, constituting the Earth and other terrestrial planets. A Geologist studies in detail about the Earth Processes, Earth History and Earth Materials. From tectonic movements leading to earthquake, volcanic eruption, floods and landslides to ecological sustainability of plants and soil materials are catered by these experts.
Meteorologist: These scientists are the ones who study about climate and weather. Checking on the climatic condition and the changes that have been or might take place are recorded by the Meteorologists. They may indulge in forecasting weather or may stick to the research area of the weather. These scientists predict the climatic disaster that may take place and help people to evacuate from the surrounding area.
Marine Biologist: Marine Biologist is the one who studies the marine organisms constituting of the animals and plants. The study reveals the interaction and behavior of these organisms with the environment. A close research on aquatic plants and animals are done by the Marine Biologists after mastering on biological oceanography and geological oceanography. These two streams enhance the research work and help in depicting a clear picture of the research conducted by the Marine Biologist.
Paleontologist: These scientists are the investigators of the fossils. They study the history of life on Earth based on the collected fossils. These remains are studied for the purpose of calculation of the existence of the fossils found. Paleontologists also dig out the reason of the extinction of the remains and preserve them to understand the primitive environment in a more clearer way. These scientists work in close contact with the archaeologists to discover more related findings.
Seismologist: Seismologist studies the details about an earthquake. The reason behind an earthquake and related after-effects above and beneath the Earth are studied by these scientists. Their researches reveal the expected disaster that can be caused due to the tectonic movements and also find out the areas that are more prone to such activities.
With a keen interest in Science and Research, candidates can opt for a career like Scientist. For the ones who aspire to know how to become a Scientist must know the different employment opportunities available for them as a Scientist. To help candidates we have prepared a list of industries were the employment opportunities for scientists are easily available. The list includes the following:
In order to choose career as Scientist, it is important that the candidates acquire relevant degrees and certificates along with approved journals. Considering these qualifying documents, companies will hire these budding, talented and enthusiastic scientists with a good pay scale and desirable posts. There are a number of top recruiting companies for scientists that the aspirants can opt for. Let’s take a look at these companies or top organisations hiring scientists.
What does a scientist do.
Scientists conduct laboratory-based experiments and trials. Scientists can find jobs in a variety of fields, including medicine, physics, biology, chemistry, computer science, and environmental science. Some of the primary responsibilities include
Pay scale/salary of scientist.
Different types of Scientist get paid on a different pay-scale. The salary also depends on the kind of industry they are associated with. You can have a look of the approximated salary scale of the different types of scientists given below.
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Astronomer | 6,00,000 – 8,00,000 | 8,00,000 – 10,00,000 | 10,00,000 – 15,00,000 |
Agronomist | 1,00,773 | 5,81,660 | 7,97,430 |
Botanist | 2,47,301 | 5,89,581 | 11,63,496 |
Epidemiologist | 1,52,051 | 6,16,736 | 12,22,370 |
Microbiologists | 1,32,819 | 2,93,865 | 9,38,883 |
Geologist | 2,31,402 | 5,09,972 | 13,68,460 |
Meteorologist | 1,20,000 | 3,00,00 | 6,00,00 |
Marine Biologist | 99,550 | 4,50,000 | 10,45,437 |
Paleontologist | 2,00,000 | 5,00,000 | 10,00,000 |
Seismologist | 7,39,000 | 7,80,000 | 8,10,000 |
Note: The figures mentioned above are an approximate estimate and may vary from one organisation to the other organisation.
The scientific and research skills one gains while studying PhD are perceived as satisfactory basic training for moving to the next positions. To grow in any career, especially in this career one must keep himself or herself up to date with all the new techniques, skills, and innovations. Professional growth does not knock on the door of an individual but hard work, determination, and commitment do. It is very important to attend as well as participate in national level conferences to know and proclaim the recent advanced technological development in the field of Science. By putting up years of experience, one will achieve a senior scientist position.
Knowing how to become a scientist can be difficult if your educational qualification and preparation lack behind. All you need to do is to acquire professional degrees from a reputed institution. To do so you will need to appear for related entrance exams. Hence, there are no specific books that can prepare you for this career. Being agile and ready to grab every learning opportunity that comes your way combined with hard work is the trick to become a successful Scientist. It is also important for you to experience the on-the-job learning exposure to become more familiar with the experiments and research activities. The more you learn & implement your gained experience, the chances of you becoming an expert in this field will also increase, which will subsequently reflect in your pay package.
To help you through with the learning experience of becoming a successful Scientist, we are providing you with the list of few of the top searched and read books of renowned authors that will not only help you in understanding your subject-matter but will also help you in developing your skills and knowledge.
Paths for being scientist, do you think this is the right career choice for you.
Take our test and find out if it suits your strengths.
To become a scientist it takes around 7-10 years. Career as a scientist usually requires a PhD. and a lot of lab experience.
The career prospects for scientists are diverse and promising. Depending on their specialization, scientists can work on cutting-edge research, develop new technologies, contribute to medical advancements, address environmental challenges, work in data analysis and artificial intelligence, and more. Advancement opportunities include becoming a research team leader, principal investigator, or even a department head.
Important skills for scientists include critical thinking, problem-solving, analytical abilities, strong research skills, data analysis, communication skills (both written and oral), teamwork, adaptability, and a passion for learning.
There are numerous fields of science to specialize in, including Physics, Chemistry, Biology, Mathematics, Computer Science, Environmental Science, Astronomy, Psychology, Geology, Neuroscience, Genetics, and many more. Each field offers various research and career opportunities.
The qualifications that are required to become a scientist need a bachelor's degree in a relevant scientific field, followed by a master's or doctoral degree in a specialized area of science. Additional qualifications, such as research experience, publications, and networking within the scientific community, can enhance your prospects as a scientist.
The 11th President of India Dr APJ Abdul Kalam was an Indian Aerospace Scientist as well.
Yes, Galileo Galilei is considered as the “Father of Science”.
C V Raman was the first Indian scientist to have been awarded the prestigious Nobel prize. He was awarded the Nobel prize in 1930.
You can become a scientist without a valid degree but your work and theories might not be well-received by the academic community.
A scientist can earn between INR 1 LPA and INR 15 LPA depending on the job profile that he/she has been offered.
A scientist can find job opportunities in various organisations like ISRO, Aeronautical Development Agency (ADA), InStem, Archaeological Survey of India (ASI) etc.
Sectors like healthcare, wildlife, mining, aeronautics, food & beverage etc employ scientists.
Yes, astronomers fall under the broad category of scientists.
Candidates who have a PhD degree in any science subject is qualified to become a scientist.
A scientist is an individual who who describes and predicts the world surrounding us by gaining knowledge through scientific activities.
Confused on what to choose as your career?
NASA scientists get opportunities to conduct research and unique experiments on anything and everything related to space, and that too at the International Space Station.
That’s pretty cool, right? Who wouldn’t want to be a part of such a project where you actually get to unravel the mysteries of our universe and maybe even work from space, conducting experiments floating around in zero gravity!
Table of Contents
Before knowing what steps you need to take to become a scientist, it’s important for you to understand who is a scientist and what they do.
In simple terms, a scientist is a skilled professional who conducts research and experiments to either invent or discover something new or update existing research findings using advanced scientific knowledge and skills.
The best part about becoming a scientist is that you can decide your own field of research. From soil science to space science – there are multiple options to choose from. So choose the field that interests you the most!
But before choosing a field to become a scientist, you should ask yourself this indispensable question.
Clever Harvey Insights : Your main goal of becoming a scientist will act as your driving force. So even if you feel stuck at any point along the way, you can always remind yourself why you chose to become a scientist to get a boost of confidence!
“Can I become a scientist at NASA if I am from India?”
Yes, you can.
Although NASA only recruits scientists and other professionals who are citizens of the United States of America, it does not mean that all doors are closed for Indian students to become NASA scientists.
There is a way in which you can become a NASA scientist from India .
To become an Indian scientist at NASA, you will have to become a permanent resident of the U.S and for that, there are certain requirements and procedures that you will have to follow to get your U.S citizenship.
You can opt for the process of Naturalization to seek permanent residence in any of the states of the U.S. For this, you either have to:
If you are at least 18 years old and meet the above requirements, then you can fill out Form N-400 and complete all further formalities as per the U.S government policies. If you want more information on becoming a U.S citizen by naturalization to become a NASA scientist, this USCIS brochure will provide you with all the information you need.
Be it NASA or ISRO, to become a scientist you need to have certain degrees in the field of science, technology, engineering or mathematics . These fields are commonly referred to as STEM.
“So, what should I study after the 12th standard to learn space science?”
Whether you are interested in space science, space biology or conducting research on subatomic particles, you will have to follow these 3 steps to become a scientist at NASA after class 12.
Be it engineering, biology or technology, you have to choose a course for graduation in one of the STEM fields from a recognized university in India or abroad. ‘STEM’ stands for science, technology, engineering and mathematics .
While pursuing your graduation, you will gradually understand the basics of almost all fields of science. This will help you evaluate your abilities and recognize your inclination towards any one particular field. Go ahead and pursue your post-graduate studies in the field of your choice and give it your best.
Remember that your passion for science should match the subject you choose for specialization to make the most out of your experience.
If you want to conduct in-depth research in your field of study then it will probably be best for you to pursue your Ph.D. in that area to gain maximum experience and expertise to become a scientist at NASA.
Another option would be to gain relevant practical experience in your field of study in a research facility or institute to not only advance your knowledge but also gain work experience in an organized scientific environment. This learning experience can also add immense value to your journey of becoming a scientist at NASA.
Harvey insight : Apart from having relevant academic qualifications to become a scientist at NASA, you should also work on your personal project to build your portfolio as a teenager .
You can conduct your own research as a budding space scientist and present your work on an international platform.
NASA offers a wide range of summer camps and internship programs to students as young as 10 years old to get an early idea of working on space-related missions. But these programs are limited to only U.S citizens .
“So, are there no opportunities for Indian students to explore their passion and skills to become a scientist at NASA?”
Yes, there are!
As an Indian teenager, you can participate in two of the most exciting international space contests to try your hand at building projects for space as a budding scientist.
International Competitions for Indian Students in Space Science
Students from 5th – 12th grade | INR 500 | ||
Students from 7th – 12th grade | $5000 cash prize +Get a chance to give a talk at the ISDC* | $15 |
*ISDC stands for International Space Development Conference
Don’t miss out on this chance to show the world that you have what it takes to become a NASA scientist. Go enroll now and take the first step towards living your dream!
If you are looking for some good colleges to help you start your educational journey of becoming a scientist at NASA, this table is all you need. It contains a list of the best colleges worldwide for 3 of the best scientific research fields at NASA.
List of Colleges to Become a Scientist at NASA
Astronomy & Physics | Cornell University (USA)University of Edinburgh (UK) |
Geology | California Institute of Technology or CalTech (USA)University of Colorado (USA) |
Space or Astro Biology | Indian Astrobiology Research Centre (India)California Institute of Technology or CalTech (USA) |
There is no one university or college from where NASA recruits its batch of scientists. In fact, you do not necessarily have to study from Ivy League schools to become a scientist at NASA.
NASA looks for scientists who are not afraid to follow their passion in the field of science and apply their knowledge and skills to contribute to the greater good of humanity. Start the journey of self-exploration with Clever Harvey’s JuniorMBA program in Technology to develop and apply your skills and learning to a real-world project. Gain industry insight directly from expert professionals in the field of technology and take your first step in the real world of applied science.
So, whatever course or college you choose, make sure to pour your heart and soul into your work and never stop learning!
“NASA also employs scientists who play a critical role in science management. Program, project and discipline scientists work together to carry out science investigations, monitor program execution and ensure the scientific success of the mission.” – NASA
An organization that big is sure to have a variety of roles to offer its scientists. NASA offers as many as 15 distinct scientist roles to new-age scientists. These are the top 10 roles you can choose from when you become a scientist at NASA.
Which scientist do you plan to become at NASA?
As a scientist at NASA, the only thing that remains constant is their philosophy of living “everyday extraordinary” . This means that no two days remain consistent. Each day at NASA as a scientist brings a new discovery and challenge which makes a scientist’s career all the more exciting!
If you are thinking about becoming a scientist then you must already have a keen interest in the field of science. However, simply being interested in the field is not going to make you a scientist. You must have strong dedication and a rough goal in mind (at least at this stage) as to what you would achieve or discover when you do become a scientist at NASA.
So, why you want to be a scientist is a question only you can answer. Before you start looking for courses and programs to help you become a scientist, you must get clarity on what’s driving you to become a scientist at NASA in the first place. Once you have a clear-cut answer, the following steps of becoming a scientist will become much more achievable.
“Our scientists are always up for a challenge and our innovative culture ensures that no two days are the same.“ – NASA
Hope you found everything you needed to know about being a scientist at NASA in our article. If you have further questions, you can visit our FAQ section below.
All the best!
How long does it take to become a scientist at nasa.
There is no definite number of years that will make you a scientist at NASA. However, to complete your education as a scientist, it can take anywhere from 6 to 8 years to start working as a scientist at NASA.
The annual average salary of a scientist at NASA sums up to $65,000. However, depending on your experience and job role, it can go as high as $120,000 annually.
No single degree or course is “best” for NASA. You must have a relevant degree and work experience in the field of science, technology, engineering or mathematics to join NASA as a scientist.
A Btech course in aerospace engineering, aeronautics or astronomy can be chosen after the 12th standard to become a space scientist. Later on, you must pursue at least a master’s degree in the same discipline and a post-doctoral program if possible.
NASA recruits only U.S citizens. So if you want to join NASA as an Indian, you should first get U.S citizenship through the naturalization process.
Chief Scientist’ is the highest position at NASA for a scientist.
NASA stands for National Aeronautics and Space Administration.
How to become a content writer – a complete guide.
Embarking on a journey as a content writer requires passion, persistence, and continuous learning. With the increasing digitalization of businesses, the demand for skilled content writers is on the rise. Dive in, keep writing, and you’ll carve your niche in no time!
Delve deep into the mysteries of the oceans and uncover the secrets of its inhabitants. If the world beneath the waves intrigues you, a career as a marine biologist awaits. Discover the path to explore and study marine organisms and their fascinating world.
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Science and technology are one of the growing fields not just in the country, but worldwide. For the overall development in almost every industry, Science and technology play a vital role. This is the reason why a lot of students aspire to become a scientist. They are professionals responsible for innovation and creativity in different industries.
To become a scientist , students need to have Physics, Chemistry, Mathematics, and Biology as their core subjects. After this, candidates are required to pursue B.Tech. followed by an M.Tech. and then a Ph.D. degree in relevant subjects to become a Scientist. The average salary of a Scientist usually ranges from INR 12 LPA - 17 LPA. However, after gaining substantial years of experience candidates can expect a salary of INR 47 LPA - 60 LPA and in certain cases can go up to as much as INR 1 Crore and above.
Read: Job of a Scientist
Table of Content
4.1 Entrance Exams
How to become a scientist after 12th: quick facts.
Eligibility Criteria | Ph.D. in any Science stream |
Starting Salary (INR) | 6.50 LPA |
Average Salary (INR) | 12 LPA |
Highest Salary (INR) | 50 LPA |
A scientist is a professional needed to bring about innovation in every field and industry. A candidate needs to be passionate about the subject from the very start.
However, there are some basic requirements in terms of academics that determine the eligibility of a candidate wanting to pursue a career as a scientist.
To pursue your career as a scientist, a student needs to keep in mind the following eligibility criteria:
To pursue your career as a scientist, you need to clear your 10th and 12th with Physics, Chemistry, Mathematics, and Biology.
If you are someone who wishes to become a scientist after 12th, there are many courses that you may choose. Depending on a candidate’s preference and interest there are a number of courses.
Firstly, the candidate needs to have had Physics, Chemistry, Mathematics, and Biology in their 10th and 12th examinations. Only then will the candidate be eligible to pursue the undergraduate and postgraduate degrees.
COURSE LEVEL | BACHELOR'S | MASTER’S | PH.D. |
---|---|---|---|
Eligibility | After the completion of their Bachelor’s and Master’s with the relevant subjects | ||
Duration | 3 years | 2 years | 3 years |
Top Colleges | Miranda House, Hindu College, St. Xavier’s College, Christ University, Jain University | Banaras Hindu University, Jadavpur University, Jawaharlal Nehra University, Savitribai Phule Pune University | St. Xavier’s College, Loyola College, Christ University, Jai Hind College |
Entrance Exams | JEE, GATE | JEE, GATE | - |
Average Course Fees (INR) | Rs. 1,00,000 | Rs. 75,000 | Rs. 30,000 |
Average Salary (INR) | Rs. 33,000 | RS. 56,000 | Rs. 90,000 |
To become a scientist, a candidate needs to complete their undergraduate and postgraduate with either Physics, Chemistry, Mathematics, and/or Biology as their main subjects. For this, there are various entrance exams that the candidates need to appear in. The candidate needs to appear for exams like the NET and GATE.
EXAM | REGISTRATION | EXAM DATES | RESULTS |
---|---|---|---|
JEE (Mains) | December 2024 | January 24 – February 1, 2024 | March 2024 |
JEE Advanced | April 28, 2024 (Tentative) | June 25, 2024 | June 29, 2024 |
GATE | August 31 – September 29, 2023 | February 3,4, 10 & 11, 2024 | February 21, 2024 |
NAME OF THE COLLEGE | Average Fees (INR) |
---|---|
Miranda House | 60,000 |
Hindu College | 62,000 |
St. Stephen’s | 1,30,000 |
Hansraj College | 75,000 |
St. Xavier’s College | 2,50,000 |
Christ University | 1,00,000 |
Banaras Hindu University | 6,500 |
Jawaharlal Nehra University | 1,500 |
Jain University | 1,00,000 |
Savitribai Phule Pune University | 25,000 |
To become a scientist there are some skills that a candidate needs to develop and inculcate. This is because the field of science and technology requires not just academic knowledge from the students but also practical experience and thinking.
Therefore, the skills needed by a candidate pursuing a career as a scientist are:
Apart from being a part of the latest technological growth and innovation, there are many benefits of becoming a scientist as well. Science and technology is a field of innovation, creativity, and technology, this helps in bringing about various changes like
The salary of a scientist will increase according to the years of experience the person gains.
Years Of Experience | Average Annual Salary |
---|---|
0-1 years | 3 L |
2-3 years | 4.5 L |
3-4 years | 6 L |
4-5 years | 7 L |
5-6 years | 9 L |
8-10 years | 12 L -13 L |
Ques. What are the subjects that are needed to become a scientist after 12th?
Ans. To become a scientist, the main subjects that a student needs in their academics are Physics, Mathematics, Chemistry, and Biology.
Ques. What are the eligibility criteria to become a scientist?
Ans. To become a scientist, the candidate should first have completed his/her 10th and 12th from a recognized board with PCM or PCMB as their core subjects. After that, he/she needs to have an undergraduate degree and a postgraduate degree.
Ques. What are the skills required to become a scientist?
Ans. To become a scientist some of the basic skills that a person needs are creativity, innovation, problem-solving skill, time management, self-motivation, critical thinking, and many more.
Ques. What are some of the top colleges in India to pursue a B.Sc?
Ans. Some top colleges where a candidate may study B.Sc in India are Jain University, Miranda House, St. Xavier’s College, Christ University, Hansraj College, and many more.
What are some of the top colleges in India for M.Sc?
Ans. Some of the top colleges in India for M.SC are Jawaharlal Nehra University, Banaras Hindu University, Jadavpur University, Jain University, Christ University, and many more.
What is the average salary that a scientist can expect?
Ans. The average salary that a candidate can expect is Rs. 9 lakhs per annum. On the other hand, the highest salary that a scientist may get is around Rs. 18 lakhs per annum.
What are the entrance exams that a candidate needs to appear for?
Ans. Any candidate who wishes to pursue a career as a scientist needs to appear for the JEE or GATE entrance exams. And according to the score of these entrance exams, their admissions are made to the colleges.
Master of science [m.sc] (chemistry), master of science [m.sc] (physics), master of science [m.sc] (computer science), master of science [m.sc] (zoology), master of science [m.sc] (nursing), bachelor of science [b.sc] (psychology), master of science [ms] colleges in india.
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Hello r/india
About me: Completed my XII grade this year and now taking a drop year for medical entrance because my family said so. It's quite common to assume that a biology student = doctor. I told them that I want to become a researcher but they said that it has no scope in India and that I can do research if I want AFTER completing my MBBS.
I know MBBS has its own perks along with loads of money, but I'm not interested in the riches. It was my childhood dream of achieving immortality and I'm going to pursue it. Thus I plan on becoming a Biogerontologist.
Anyway I considered doing MBBS in india and doing my Phd abroad in a decent university. But unexpectedly, this scary news appeared out of nowhere :
MBBS doctors will not be given the NORI certificate
Now there are only two options left for me :
Do mbbs and my Phd here and become a researcher in india (since I cannot go abroad)
Do my BSc Biochemistry here and my masters and Phd abroad.
The second option is quite risky for me since I'll be stuck with a huge debt if I fail to get a job abroad. The first option will guarantee financial security but I will have to compromise as biogerontology has virtually no scope in India.
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While getting stuck in accomplishing a certain task, you might have heard someone tell you that “it’s not rocket science!”. Well, Rocket Science is a challenging field of study as it focuses on the design and development of rockets. In simple terms, Rocket Scientists are specialised aerospace engineers who work on building rockets for space missions. As a lesser-known career field, Rocket Science nevertheless attracts scores of passionate students aspiring to be a part of space missions and possessing the brilliant acumen to design rockets and spacecraft. If you aim to pursue this fascinating career, here is a comprehensive guide on how to become a Rocket Scientist comprising the educational qualifications, skills and experience required in this arena!
Who is a rocket scientist, education requirements, necessary skills, 1. gaining the fundamental knowledge of physics and mathematics, 2. pursue a bachelor’s degree in aerospace engineering, 3. explore training opportunities, 4. getting a master’s degree in space/aeronautical/aerospace engineering, 5. find job opportunities at space research institutions or pursue a phd, how to become a rocket scientist in india, salary and scope.
Aerospace Engineers with special expertise in building rockets and spacecraft are commonly referred to as Rocket Scientists. It is one of the prominent Engineering branches which deals with the design and development of spacecraft and aircraft. As a rocket scientist, you will be heading the whole process of conceptualising, designing, constructing and testing of rockets, space crafts, satellites, aircraft and systems of defence. They require to undertake extensive research focussing on several aspects of the design including safety, costs, fuel efficiency and the impact on the environment.
If you’ve decided to take up a career in space or rocket science, it is recommended that you start to start early after the 10th. Students who wish to pursue a career in Rocket Science must check the following requirements.
To gain mastery in such a technical field, it is necessary that students build and hone on a set of skills that can help them excel as rocket scientists.
Along with these skills, aspirants must constantly learn and be updated with the advancements in Rocket science as it is a growing domain in India. Rocket scientists can have many opportunities in the near future and having the requisite skills can give you an edge in the industry.
Now that you are familiar with the job description and quintessential responsibilities of a Rocket Scientist, the next step is to explore the educational qualifications, skills and experience you need to become one. Here is a step-by-step guide on how to become a Rocket Scientist.
To become a rocket scientist, it is essential to have a stronghold over the basic and fundamental concepts of Physics and Mathematics which are two integral disciplines utilised in every area of space science. You need to opt for Science Stream after 10th in order to explore the basic and advanced concepts imperatively included in only this stream. Studying these two subjects in 11th and 12th will help you understand the mechanics of how mathematics and physics are applied to aerospace engineering and space science in order to build sturdy aircraft and spacecraft thus forming a quintessential foundation to embark on your quest towards becoming a Rocket Scientist.
A Bachelor’s degree in Aerospace Engineering or a related field is the minimum requirement you need to steer towards a career in rocket science. You can either opt for a specialised degree in Aerospace Engineering or for a general bachelor’s degree in this field. Some of the core topics you will get to learn in your bachelor’s degree are Aerodynamics, Space Navigation, Dynamics of Aerospace Systems, Space Systems Design etc. Here are some popular Aerospace Engineering courses at the bachelor’s level:
USA | BS Aerospace Engineering | 8 Semesters | |
Warsaw University of Technology | Poland | BSc Aerospace Engineering | 8 Semesters |
Canada | Bachelor of Aerospace Engineering | 4 Years | |
USA | BS in Aerospace Engineering | 8 Semesters | |
Malaysia | Bachelor’s Degree in Aeronautics and Astronautics | 4 Years | |
USA | Bachelor’s in Aeronautical Engineering | 4 Years | |
Spain | Bachelor’s in Aerospace Engineering | 4 Years | |
Lewis University | US | BS Aviation and Aerospace Technology | 4 Years |
One of the best ways to gear up for a successful career as a rocket scientist is to explore research and training opportunities during or after your bachelor’s degree. An internship gives you practical working experience along with increasing the possibility of joining the concerned institution after graduation. After completing your graduation, you can either start apply for space research organisations or find research opportunities working with scholars at top universities around the world. Having research or training experience in Aerospace Engineering or Aeronautical Engineering can be extremely rewarding as you will get a real-world exposure, discover network opportunities and augment your resume altogether.
In a challenging field like Rocket Science, higher studies encompass a quintessential step for aspirants to understand the rigorous design and development of spacecraft. It is a great way of improving and polishing your skills and knowledge to become one of the best experts in your field. For a master’s degree, you can focus on a specialised area to work on your expertise. Some specialised master’s degrees in aerospace engineering are mentioned below for those aiming to become a Rocket Scientist:
Germany | MSc in Space Engineering | 2 Years | |
USA | Master of Science in Aerospace Systems Engineering | 2 years | |
Denmark | Master of Science in Earth and Space Physics Engineering | 2-4 Years | |
IPSA | France | Master in Aeronautical Engineering | 2 Years |
The Skolkovo Institute of Science and Technology (Skoltech) | Russia | Master of Science in Space and Engineering Systems | 2 Years |
Sweden | Master’s in Electromagnetics, Fusion and Space Engineering | 2 Years | |
Ireland | MSc in Aeronautical Engineering | 1 Year | |
Beijing Institute of Technology | China | Master’s in Aeronautics, Space Science and Technology | 2 Years |
Australia | Master of Space Engineering | 1 Year | |
The Skolkovo Institute of Science and Technology (Skoltech) | Russia | Master’s in Space and Engineering Systems | 2 Years |
After completing a master’s degree, you can fulfil your dream of becoming a rocket scientist by directly applying for positions with the organisations of your choice. You would have a higher chance of getting your dream job if you have a history of internships with the organisation, although that’s not an essential criterion. You can also opt to pursue research in the field by joining a Doctorate program and contribute to the field. Below are some doctorate programs in the field:
University of Manchester | United Kingdom | Aerospace Engineering ( ) | 3 Years |
Japan | Aeronautics and Astronautics (PhD) | 3 Years | |
USA | Aerospace Engineering (PhD) | 3 Years | |
United Kingdom | Aerospace Sciences (PhD) | 4 Years | |
Italy | Aerospace Engineering (PhD) | 3 Years |
Check out How to Become a Space Scientist in ISRO?
To become a rockets scientist in India you must complete your degree in Aerospace Engineering Colleges. Here are the top colleges for Aerospace Engineering in India.
Choose subjects that focus on rocket design, such as aerodynamics, propulsion, structures, navigation/guidance/control. Pass your degree within 4 years with 65% and give your ISRO entrance exam.
Read in detail about How To Become A Scientist In ISRO?
Since Rocket science is a growing industry in India, the Indian Space Research Organization is yet to release the official information for various posts in ISRO. The industry is expected to have a Job Growth of 3% for all aerospace engineers. However, aspirants who get the job will be receiving a monthly payment of at least INR 15600 – 39100/- for the posts of Scientists or Engineer. It is more beneficial to have all the detailed information related to the allowances that you will be receiving prior to applying for the posts. Although the search for other employment is high, bagging a job at ISRO gives a good reputation and good financial benefits. The monthly salary of different positions of ISRO scientists is tabulated below based on their levels (H, G, SD, SE, SF and SG)
Scientist/ Engineer – H & G | INR 37,400 – INR 67,000 |
Scientist/ Engineer – SG | INR 37,400 – INR 67,000 |
Scientist/ Engineer- SF | INR 37,400 – INR 67,000 |
Scientist/ Engineer- SE & SD | INR 15,600 – INR 39,100 |
Hope you found this step by step guide on how to become a rocket scientist useful. If you aspire to pursue rocket science but are apprehensive about which course or university to opt for, worry not! Reach out to our experts at Leverage Edu and we will guide you in choosing a suitable program and university and helping you sort out the admission process to ensure that you send a winning application! Sign up for a free e-meeting with us today!
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very good app all details about becoming a rocket scientist and safe for kids
Thanks for reading. Also, check: How to Become a Space Scientist? Skyrocket your Career in Sports How to Become an Aerospace Engineer?
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Agriculture Research Scientist is the professional responsible for raising the production of the agricultural good by finding various methods to increase the production with the existing resources and finding ways to maximize the agricultural produce. With the ever-increasing population of the earth, demand for food, medicines, and other consumables is increasing at an exorbitant rate whereas resources of the earth are depleting with every passing. Thus to keep pace with the demand within the limited recourses there is a great need to improve the quality and quantity of the existing resources so that they could be used up to an optimum level to fill the gap between demand and supply of the consumable biological resources on the earth. For making this a reality a lot of research work is needed. The Indian agricultural sector plays a crucial role in the economic development of the country. It contributes nearly 30% of the GDP and employs about 65% of the workforce.
Agriculture is science-based, and high-tech and offers an array of career opportunities in research work. Agricultural Research scientist is one such profession. These professionals play an important role in maintaining and increasing the Nation’s agricultural productivity. They study farm crops and animals and are responsible for developing ways of improving their quality and quantity. These professionals use the principles of Biology, Physics, Chemistry, and other applied sciences in tandem to solve problems in agriculture. Depending upon the area of Specialization, the Agricultural Research Scientist’s nature of work varies. Considering the importance and need for Agricultural Research the Job of an Agriculture Research Scientist has become one of the hottest career options available to today’s Indian Agricultural science graduates. It is the right career for those who have a passion for improvement in the existing agricultural products. Although it demands a lot of hard work and effort at the same time offers enormous scope for the building of one’s career. But on the other hand, this profession is such a profession that demands hard work and a high level of patience along with many years of study. To discharge his duties with efficiency an Agricultural Research Scientist should have good interpretation skills, be confident in accepting challenges, and have the ability to understand things as they come before him. They have to look into every minute detail of the facts to conclude as precisely as possible. Young people with the desire and capacity for hard work can get both money and satisfaction in this profession.
Aspiring Agricultural Research Scientist has to undergo one or more of the following given courses to become Agricultural Research Scientist.
Graduate Courses
Eligibility Conditions Educational Qualification
Candidates who wish to apply for above given Under Graduate degree/Diploma courses should have passed 10+2 or equivalent examination, with physics, chemistry, and mathematics/Biology with a minimum of 50% marks in the aggregate in the subjects concerned. More advanced courses such as Ph.D. and Post-Doctoral Research in Agriculture can also be pursued. Eligibility Conditions
Educational Qualification
Graduates in relative fields are eligible for the postgraduate and Doctorate courses.
One has to follow the following given steps to become an Agricultural Research Scientist.
Interested candidates have to apply for the entrance tests conducted by the various Universities and independent institutions like IIT, etc. providing above given graduate and undergraduate courses of varying duration (usually 3 to 4 years for the graduates, 2-3 years for the Post Graduate and 5 years of the integrated M.Tech Programmes) Step 2
Selection to the graduate courses (BE/BTech ) is based on merit i.e the marks secured in the final exams of 10+2 and through the entrance test. Entrance to the IITs is through JEE (Joint Entrance Exam) and for other institutions through their own separate entrance exams and other state-level and national-level exams. Apart from the IITs, some other famous institutes also recognize JEE scores for selection. Selection to the postgraduate courses in different universities is through an Entrance exam conducted by respective educational institutions providing these courses, Step 3
After completion of his studies, the aspiring candidate has to sit in the combined entrance conducted by various state and center recruitment agencies from time to time to join as an Agricultural Research Scientist in the various concerned departments of the state and Centre Governments.
Aspiring candidates can also take Agricultural Research Scientist Exam which is known as ARS/NET (Agricultural Research Service / National Eligibility Test) exam to work as Lecturers in various agricultural universities and their affiliated colleges.
Agricultural research scientists' job includes studying farm crops and animals and developing ways of improving their quality and quantity. These professionals use the principles of Biology, Physics, Chemistry, and other applied sciences in tandem to solve problems in agriculture. Depending upon the area of Specialization, the Agricultural Research Scientist’s nature of work varies.
As there is increasing popularity and explosive growth, there is plenty of opportunities available in the Agricultural field. You can be an Agricultural Research Scientist or a lecturer or Production in-charge in the processing Food and allied industry. Enormous employment opportunities are available for Agricultural Research Scientists in private as well as public sector organizations. Agriculture Research scientists can find employment in the International organization working in this field, the public sector, government agencies, and private organizations’ R & D agencies.
Agriculture Research Scientist Salary depends largely upon their academic qualification, the institute or university from which the degree is attained and the level of work experience they have achieved.
To start with fresh Graduates from prestigious institutes like IIT etc, can get anything between Rs. 50,000/- to Rs. 60,000/- as monthly income in the corporate sector with rapid growth with a little experience.
Whereas a BTech graduate from other universities can get anywhere near Rs. 35,000/- to Rs. 40,000/- with a lot of increments in the future to come.
Other career options.
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This is a list of countries with low-income or middle-income economies. The Organisation for Economic Co-operation and Development (OECD) compiles this information and revises it every three years.
Afghanistan Albania Algeria Angola Argentina Armenia Azerbaijan Bangladesh Belarus Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Burkina Faso Burundi Cabo Verde Cambodia Cameroon Central African Republic Chad China (People's Republic of) Colombia Comoros Democratic Republic of Congo Congo Costa Rica Côte d'Ivoire Cuba Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Eswatini Ethiopia Fiji Gabon Gambia Georgia Ghana Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras India Indonesia Iran Iraq Jamaica Jordan Kazakhstan Kenya Kiribati Democratic People's Republic of Korea Kosovo Kyrgyzstan Lao People's Democratic Republic Lebanon Lesotho Liberia Libya North Macedonia Madagascar Malawi Malaysia Maldives Mali Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Nicaragua Niger Nigeria Niue Pakistan Panama Papua New Guinea Paraguay Peru Philippines Rwanda Saint Helena Samoa São Tomé and Príncipe Senegal Serbia Sierra Leone Solomon Islands Somalia South Africa South Sudan Sri Lanka Saint Lucia Saint Vincent and the Grenadines Sudan Suriname Syrian Arab Republic Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Yemen Zambia Zimbabwe
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Does watching and reading about scientists excite you? Do you love knowing about the lifestyle and hardships of great scientists? Do you feel motivated after knowing the various difficulties they overcame to become scientists? Do you want to see yourself as one of them? And, most importantly, do you actually want to do research with passion and enthusiasm rather than simply be called a “scientist”? If your answer is yes to all of these questions, then this blog is for you.
In this blog, we will talk about:
What are the types of scientists, what path to follow.
According to the Cambridge Dictionary, a scientist is an expert who studies or works in one of the sciences. Different sources use different combinations of words to define what a scientist is. A scientist is like a detective who uncovers nature’s mysteries, including physics, medicine, chemistry, forensics, politics, et cetera. A scientist works on various domains, teaches in universities, conducts research in laboratories, constructs complex models to predict future possibilities, theorizes to develop an understanding of various mysteries, solves various real-world problems and does many other things.
A scientist is generally a researcher with great scientific knowledge and a PhD. But this definition isn’t general because some engineers with great skills work as scientists in many research organizations (e.g., ISRO). There is no perfect and accurate definition of a scientist. But a scientist definitely has higher education, a scientific problem-solving approach, and a passion and enthusiasm for learning. Albert Einstein once said,” A scientist is someone whose inner child is still alive”.
The term scientist has a very broad representation. Various kinds of scientists study different fields and are named according to their fields. For example, a scientist studying Physics is a physicist, while a scientist studying geology is a geologist. Well, these terminologies don’t stop here. There are various sub-fields within a single discipline, hence more nomenclatures. A few types of scientists are discussed below:
Physicists are scientists who study the laws of physics and apply their knowledge and skills to solve various real-world problems and mysteries. There are many sub-fields in physics, and scientists specialising in those fields are given corresponding names. Here are some examples of them:
Some of the most popular Physicists are Albert Einstein, Sir Isaac Newton, CV Raman, Chandrashekhar, Stephen Hawking, Richard Feynman, Marie Curie, J. Robert Oppenheimer, and many others. Check out our other blogs to learn in-depth about types of physicists.
The scientists involved in the study of chemistry are chemical scientists, or chemists. Their work involves discovering the chemical structure of any compound, either from nature or obtained by synthesis, among many other things. There are various sub-fields of chemistry, and the scientists are named accordingly. A few examples are given below:
Some of the most popular chemists are Linus Pauling, Marie Curie, Alfred Nobel, C.N.R. Rao, etc.
Geoscience is the study of Earth and its environment, exploring how various phenomena occur and studying their impacts. Geoscientists study the composition, structure, and movements of the earth. They contribute to discovering mines, petroleum deposits, minerals, and other aspects of the earth. Earth science (geoscience) is a relatively new field with much to explore. There are many sub-fields, and the scientists are named accordingly, such as
Let us know in the comment section if you want to know more about these topics.
These scientists are closely associated with Doctors and help in understanding various diseases. They study the cause, effect and treatment of various diseases, thus improving human health. They played a significant role during the Covid-19 pandemic by thoroughly studying the viral structure to check for possible vaccines. They design drugs, vaccines, antidotes, diagnostic kits, nutrition supplements, and other essential health requirements. There are many sub-fields, and the scientists are named accordingly, such as
Some popular medical scientists include Albert Hofman and Ronald Kessler. If you want to know how the medical field differs from the research field, check out this blog .
These scientists study living beings such as animals, plants, fungi, bacteria, and viruses and their characteristics. Biologists can work in various settings, such as laboratories, field stations, universities, hospitals, and industries. Here are some types of biologists named after the work they do:
Some of the most popular biologists are Charles Darwin, Richard Fleming, William Harvey, Salim Ali, Gregor Mendel, etc. If you are interested in biology and want to become a biologist, don’t forget to check out this blog .
These scientists study agricultural practices and solve issues related to them. They are concerned with the methods and improvement of agriculture. They study crop varieties, soil characteristics, crop diseases, etc. and aim to enhance crop yield, prevent diseases, and survive drought and other conditions. Here are some types of agricultural scientists:
These scientists are like detectives who study how people interact with each other and how societies work. They use various methodologies like surveying, interviewing, and observing to gather information. They are divided into various kinds depending on the work they do. Some of them are listed below:
Karl Marx, Benjamin Franklin and Sigmund Freud are some of the most influential social scientists.
Forensic scientists are experts who apply scientific methods to analyze evidence and assist in legal investigations. Forensic science is an interdisciplinary science in which scientists deduce or conclude crime scenes using knowledge of physics, chemistry, anatomy, etc.
As you can see, the term scientist has a very broad representation. There is a lot of information around us and we need different people with different understandings and skills but with the same scientific approach to absorb that knowledge and solve real-world issues using that. That would give a meaningful description of what a scientist is.
The most important thing is to reflect on whether you really want to devote your life to science or just enjoy knowing stuff. If you enjoy the later part, then you may not need to become a scientist, because to become a scientist, you also need to be ready to accept all mental and financial challenges. You may not enjoy the same attractive salary as your engineer or businessman friends, but the level of satisfaction can’t be compared to any other thing. You need to be ready to accept your flaws and failures. You may work on a project for two straight years only to start from scratch.
What path you should follow depends heavily on your field of interest. You should not completely decide on your field before joining your college. Try to keep your mind open while learning various new things. Try joining a college that provides a BSc, BS, or integrated BS-MS degree after your 12th. You can also choose BTech and then MTech to complete your post-graduation. IISc, IISERs, NISER, IITs, Delhi University, etc., provide such programs and are well-recognized worldwide. In the first year, all subjects are usually taught, and sometimes students from PCB backgrounds end up loving Maths or vice versa. Whatever you choose for your 12th grade doesn’t matter.
After your first or second year, you will get to choose a major. This major subject will determine what field you will do your research in. Still, there are a few exceptions to this. Due to the increased popularity of interdisciplinary research, few students from one department do their thesis or research in another department. For example, a student from the Chemistry Department of IISER-Kolkata is doing his PhD at Cambridge in Astrophysics. Hence, you must focus on learning new things while keeping your heart and mind open.
Try to do a few internships to gain more research experience. Talk to your seniors and professors to stay updated on the latest developments. Involve yourself in healthy and scientific discussions and try to learn from everyone. Attend seminars or webinars being hosted at your college. Join labs if you are interested in experimental works. If you want to know more about internships, check out this blog .
After your graduation, apply abroad for PhDs. PhD from one of the top universities in the world will let you explore that field extensively. You can also join PhD programs in India by taking exams like GATE and NET, among others. Completing a PhD is believed to be the hardest part of one’s journey to become a scientist. You must choose your guide carefully because it directly affects your work environment. And if you continue to accept all the challenges and failures, gradually, you will find yourself as a scientist doing research.
Becoming a scientist may not seem like a financially attractive career, but that’s not how it actually is. You will be earning enough money to sustain yourself and enjoy your life. But that will take a long time before becoming a reality. You can get various scholarships and grants. Research scholars are given a stipend of around Rs. 37,000 to Rs. 63,000 in India depending on your fellowship stage for example, Junior Research Fellow (JRF), Senior Research Fellow(SRF), etc. The salary structure in academia (like Assistant Professor, Associate Professor, etc) and salary in industry also differ based on your area of expertise, experience & seniority level.
After completing your degrees, you can join research firms, organisations, etc. The need for scientific knowledge and research is increasing day by day. There are a variety of careers depending on the field you choose. A few examples are given below;
These are only a few examples of the diverse career options that open up after becoming a scientist. What opportunities open up for you depends heavily on your field, so if you want to know more about a particular field and the career opportunities it offers, comment below.
Becoming a scientist is difficult, but if you enjoy science and are ready to devote yourself to it, you will successfully achieve your goal. The number of career opportunities is increasing day by day. As Albert Einstein rightly said, ‘‘The more we know, the more is left to be known.’’ And to know what is yet to be known, we need Scientists.
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A Security and Exchange Board (SEBI) registered research analyst is an important element in the financial markets as he/she is entrusted with the task of providing research-based genuine analysis of securities and financial products. These experts provide valuable information on issues such as trends in the markets, the performance of companies, and economic trends in the market for investors to make the right decisions. Their work is based on the findings of properly designed methods of research that are important in explaining the transparency and efficiency of the financial markets.
SEBI registration is mandatory for ensuring the professional standards and thereby the ethical standards of the research analysts. The possible registration process implies high demands for the education and certification of analysts, that guarantee the high quality of the financial analysis.
It should also be noted that according to SEBI’s regulations and requirements, registered analysts also work strictly under the code of conduct, and conflicts of interest and provide actual, and clear information to the investors. It also increases the reliability of financial analysis and guards investors from sources of possibly misleading or biased information. Before we proceed any further let us understand the role of a SEBI-registered research analyst.
It is always a huge honor for one to be accredited as a SEBI-registered research analyst in the financial market. It also helps you gain higher status in your profession while guaranteeing that you will stick to high standards in terms of education, experience, and ethical behavior. It should be noted that SEBI has prescribed rules and regulations in maintaining the integrity of financial markets wherein giving research analysts the undertaking of giving accurate, reliable, and unbiased financial analysis.
This article contains on how to become a SEBI research analyst, the procedure, qualification criteria, and the day-to-day activities that one has to undertake to become a registered research analyst with SEBI.
A research analyst is a financial expert who analyzes and reports on financial information useful in making investment decisions. Their core responsibilities include:
Conducting Research: Using accounting data and balance sheets, trends in the financial markets for evaluation of the securities and their viability.
Preparing Reports: Preparation of comprehensive research papers that contain both the findings of the research and investment prospects.
Monitoring Markets: Monitoring market changes, events, and news that may affect the market value of the securities or assets.
Communicating Insights: Communicating the research results through reports, PowerPoint presentations, and meetings with the clients, and investors among others.
Advising Clients: Advising Investors based on proper research so that investors may invest in those Companies which shall give them better returns.
Research analysts play a crucial role in the financial markets by:
Enhancing Market Efficiency: Both of them are essential in providing relevant and timely information in such a way that securities are priced fairly thus boosting the efficiency of the market.
Supporting Investment Decisions: Since investors want to avoid making wrong decisions with their investments for them to avoid facing losses conduct research by acquiring information from research analysts.
Promoting Transparency: Research analysts play the role of providing the market with information that otherwise may not be easily accessible by the public who invest in the market.
Facilitating Capital Allocation: Through pinpointing securities that are either under or overpriced, research analysts assist in the deployment of capital within the economy for the most productivity, hence boosting the economy.
Success as a research analyst requires a blend of technical skills, analytical capabilities, and personal attributes:
Analytical Skills: This requires an ability to analyze data, comprehend quantitative information, and find trends and patterns in it.
Attention to Detail: Accuracy in manipulating data as well as in preparing reports to provide accurate and reliable results.
Strong Communication Skills: The efficiency in communicating the results of carried out research and potential investment offers to clients and other interested parties.
Financial Acumen: Knowledge of the financial markets, floating tools, and economic theory.
Ethical Conduct: High ethical standards on the part of an analyst who should offer objective and clear reportage.
Problem-Solving Skills: This involves the capacity to reason and create to solve various financial problems.
Time Management: Time management is a key issue in meeting project deadlines and when undertaking two or more research projects concurrently.
Continuous Learning: Be updated with the current and accurate market trends, and the current and regulating policies and acts.
Through developing these skills as well as the attributes, research analysts can provide decision-making information that is relevant to investments and play a significant part in the stability and soundness of the financial markets.
The eligibility criteria needed to apply for the SEBI research analyst registration are as stated below: Such criteria help to filter all those who do not have adequate knowledge in finance and related disciplines in case they are providing research services.
1. Educational Qualifications
A professional qualification like Chartered Financial Analyst (CFA); or a postgraduate degree/diploma in any of the fields like Finance, Accountancy, Business Management, Commerce, economics, Capital Markets, Banking, Insurance, or Actuarial Science or an advanced degree in any field along with minimum five years of experience in activities connected to financial products or securities markets or financial analysis.
2. Certification
You must pass the NISM-Series-XV: National Common Admission Test for Research Analysts also known as NISM Research Analyst Certification Examination. This certification ensures that the candidate is well-equipped with the information that will enable him or her to work as a research analyst.
The process of registering as an SEBI research analyst is long and elaborate and comprises very sensitive steps and hence, must be undertaken with a lot of care.
1. Preparation
One should make sure they qualify in terms of education and certification.
Ensure you assemble all certificates including educational level, working experience, and the NISM certification.
2. Filing the Application
Fill out an application form which is available at the SEBI website.
Central application form together with other documents that are demanded and a non-refundable application fee. In the process of completing this paper, it is critical to ensure that all information is correct and all the necessary information has been included to prevent any delay.
SEBI will then scrutinize your application which it may consider forwarding for further elaboration or clarification.
If your application complies with all the above laid down conditions, then SEBI will issue the registration and a certificate of registration will be issued to you. This certificate is your official document showing that you are a registered research analyst with SEBI.
SEBI imposes very strict rules and regulations once you register and as a financial researcher, you are expected to operate within the set standards in providing your research.
1. Code of Conduct
Some of the measures to uphold are high levels of integrity, fairness, and professionalism in every transaction one is engaged in.
Several times in your work it suggested avoiding conflict of interest in your findings and reports. If you have any of these, there is a conflict of interest and you are obliged to inform your clients.
2. Record Keeping
Ensure that you keep your research reports and communication with your clients among other vital documents for not less than five years. This means that there is accountability together with the provision of an audit trail.
3. Periodic Reporting
Prepare and submit reports to SEBI by its policies at least once every three months and in the reports you shall highlight its activities and compliance with the regulations set by SEBI. These reports assist SEBI in the evaluation process of their compliance with the existing rules and regulations as well as the overall efficiency in the overall market.
To retain the registration, the practitioners are supposed to practice continuing education. The financial markets especially the bond markets are very dynamic and it is very crucial to continue to update oneself on developments in that industry and changes in the financial laws.
Patrol the industry conventions occasionally to have insights into the recent trends regarding financial analysis.
Obtain more specialized certification programs that would allow you to have further understanding and make your stand as a research analyst stronger.
Some Possible Difficulties Encountered by students who aspire to be Research Analysts and some guiding strategies.
Some of the main problems that candidates are bound to encounter when seeking a SEBI research analyst position include:
Challenge: It is also challenging for young and aspiring research analysts to cope with the set educational and certification requirements by SEBI that consist of necessary degrees and certifications.
Solution: It is recommended to start as early as possible by opting for the necessary academic programs and engaging in constant training and improvement of skills in compliance with the industry demands and trends.
Challenge: The SEBI registration is quite a process and it can take a lot of time to register depending on the level of detail that one wants to provide.
Solution: Try to be informed of the application process and possible guidelines regarding it as well as use the advice of those who have already been through the application process.
Challenge: SEBI checks the application and might ask for more data or clarification.
Solution: When the registration is approved SEBI issues the registration with a certificate.
1. Continuous Learning
Maintain abreast with current issues concerning the market and the regulatory environment as well as new trends in the industry.
Listen to additional certification courses, seminars, and workshops.
2. Networking
Partnership with professionals in the same working field as well as developing acquaintance with successful mentors and other professionals.
Get involved with professional organizations in the industry and attend conferences.
3. Ethical Conduct
Ensure that they display and encourage ethical practices in all the business practices.
Disclose any other conflict that might be there to the clients and do not engage in any business that might lead to a conflict of interest.
1. Understand the Exam Structure
Get acquainted with the exam syllabi, its format, and the kind of questions that you are going to encounter.
Study properly the concept and contents of the NISM.
2. Create a Study Plan
Increase the number of topics understood and comprehended for practical application by one’s self It is useful to devise a framework that ensures all the topics in the syllabus are adequately covered.
Ensure that there is enough time spent on reviewing the material as well as taking practice tests.
3. Practice Regularly
You need to consult tests and practice questions to review your knowledge and spacing of the tests as well as time conceptions.
Ensure that your strengths are appropriately utilized and where you are weak focus there.
4. Stay Calm and Confident
Lastly, it is important to ensure that the student maintains a positive attitude as well as positivity when taking the exam.
Always read questions on the paper or screen and plan how much time you shall spend on each question.
1. Adhere to SEBI Regulations
Make acquaintances with the rules and regulations of SEBI and guidelines for Research Analysts.
Comply with all current regulations.
2. Maintain Accurate Records
Maintain records of the research reports, and other related documents like the communications that have been made to the clients.
Records should be preserved for at least five years concerning its requirements as laid down by SEBI.
To the SEBI you are required to present whatever activity that you have taken, including reports on your compliance with the laws now and then.
Facilitate that the reports are corrected and made within the set time.
4. Ethical Conduct
Maintain and respond to high levels of ethical behavior, equity, and professionalism.
Avoid situations that create a conflict of interest and if such a situation arises, inform the client.
These challenges can however be surmounted and the best practices mentioned above followed to ensure SEBI registration of the aspiring research analysts and thus play a monumental role in the enhancement of the financial markets credibility.
The process of getting registered with SEBI as a research analyst is a very competitive one, but very fulfilling as one can get a certification on the level of proficiency in the field of financial analysis and the conduct. That’s why, following the rules provided in this guide, you will be able to get the prestigious registration and become a financially verified expert. SEBI Registered Research Analyst will not only help in the proper functioning of the financial markets by bringing more clarity and fairness to it but also will add value to your career in this tough field of competition.
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Bengaluru: Hundreds of students, science teachers, researchers, and professors gathered at Bengaluru’s Jawaharlal Nehru Centre for Advanced Scientific Research campus to celebrate CNR Rao’s 90th birthday on 30 June. It’s the institute’s very own ‘Teacher’s Day,’ celebrated for 17 years in honour of the famed Indian scientist and co-founder of JNCASR. But this year is special—the institute has opened a large gallery dedicated to honouring his life’s work and achievements.
“My birthday was alright,” said a modest Rao, whose work has been foundational to many advances in materials science over the last few decades, including carbon nanotubes .
A stroke a couple of years ago has left the structural chemist with a severe speech impediment, but his academic tenacity is undiminished. At 90, Rao shows no inclination to ‘slow down’. When he’s not immersed in institute work, he’s busy publishing papers and collaborating with his wife, author and Kannada science communicator Indumati Rao.
The new gallery is covered from top to bottom with his numerous awards from multiple countries, along with photographs with legendary scientists like CV Raman and Vikram Sarabhai, Indian prime ministers he worked with as a scientific advisor, and heads of states of Russia, Japan, UK, France, as well as Pope John Paul 2 and the late Queen Elizabeth II of England.
It’s a testament to the dazzling career of one of India’s most prolific scientists. Rao has received the Shanti Swarup Bhatnagar Prize, the Hughes Medal, the Royal Medal, the National Order of Scientific Merit, the Padma Vibhushan, and the Padma Bhushan. He is only the third scientist after CV Raman and APJ Abdul Kalam to be awarded the Bharat Ratna.
But Rao, who has authored over 1,500 papers and more than 50 books, is more interested in the next big breakthroughs and the institute’s research processes . He sits in his office behind a large desk full of papers and files arranged by his staff. His aide and special projects coordinator, AN Jayachandra, translates his responses by his side.
“He has been publishing papers. That hasn’t stopped. We come here every day at 9.30 am and work here for two hours. He works with students closely and meets people daily,” said his wife Indumati.
The two have offices near each other. Indumati works on science exposure projects for children, while the professor remains immersed in institute work, as he has been for decades. Together, they want to make science more accessible in rural Karnataka.
Prof Rao is firm that young researchers should focus on their science without being bogged down by administrative tasks like securing financial grants.
Also Read: Ahmedabad lab is now predicting India’s climate future. It’s using ‘atomic time machines’
The couple have a shared passion— spreading scientific awareness among rural children. To further this cause, they established the CNR Rao Education Foundation in 2005.
“He decided a few years ago that he wants to communicate science to young people,” said Indumati. “And my dream was to do something for rural children. So, we started this foundation for that purpose, and to also give back to the scientific community.”
Indumati is currently busy translating a piece of science writing from English to Kannada, which will be distributed across rural schools.
The Foundation also built new gallery dedicated to Rao’s work. Alongside this building, there is an interactive science museum, envisioned by the scientist himself
Visitors can take part in table-top science experiments, view large-scale models of atomic structures, and learn about the lives of famous chemists through history.
Madam Rao and Professor Rao, as they’re affectionately known, are also believers in integrating culture with science, particularly through music. Rao is deeply interested in the context in which science is understood in the world, as well as the intricate connections between science, the laws of nature, arts, and creativity. His idea of interdisciplinary learning extends beyond scientific research to include experiences like music.
Faculty don’t have to conform to any structure. They are free to choose the area of their work, and aid is facilitated to them on par with international standards. They can pursue their science at their free will, and that is a signature of this institute -AN Jayachandra, special projects coordinator
“To be a complete person, it is not enough to do science only. There must also be exposure to culture, like music,” said Indumati, speaking for the two of them. “Every year, we invite a well-known artist who performs a concert at the institute for students and researchers, and musicians talk about their theory.”
The Raos are patrons of Hindustani classical music, and have followed a dinnertime tradition every day for decades— after their evening meal, they play a music recording or a playlist for 1.5 hours. No one talks during the “concert”.
Within academia, Prof Rao is known for his clear vision as the head of JNCASR. He is firm that young researchers should focus on their science without being bogged down by administrative tasks like securing financial grants and other procedural necessities.
“Funding is always a challenge, but his problem-solving mentality has been a boon for everyone here. No matter the project, when we tell Professor Rao that there is a problem, there’s a solution a few days later,” said Jaishri Sanwal, a geoscientist at the institute.
Sanwal, who works in an office full of rocks and fossils, explained that she doesn’t hold a teaching position, nor does she have a permanent one, but she has been working as a research scientist at JNCASR for just over a decade. Her research centres on studying paleo-earthquakes in the Himalayas for risk assessment and recreating ancient environments across India to help prepare for the future.
“The geodyamics unit here (now called geosciences unit), is very active here and we can feel Professor Rao’s legacy,” she said.
As an administrator Rao’s ability to identify impactful science and back it up with resources is widely recognised by faculty and researchers.
One can achieve when one contributes without self-interest. Once in a way, bright research ideas come in. Then we have made it -CNR Rao
“The researchers here work on frontier areas of science,” said Rao’s aide Jayachandra. “Faculty don’t have to conform to any structure. They are free to choose the area of their work, and aid is facilitated to them on par with international standards. They can pursue their science at their free will, and that is a signature of this institute.”
The green JNCASR campus, which covers about 27 acres in the suburb of Jakkur, is not as expansive as many other leading scientific institutes, but it packs a punch. It’s research units cover a range of specialities, including materials, engineering mechanics, evolutionary biology, theoretical physics, and new chemistry, all bound together through interdisciplinary research.
Unlike other major research institutes with countless departments, work here is structured into a mere seven to nine major departments, with less than 30 researchers. But within these departments, researchers, scientists, and engineers have been working on everything from nanodevices and degenerative diseases to virology and ancient Indian climate.
The close-knit campus environment facilitates spontaneous research ideas due to the way researchers get to interact with each other, including over casual chats, according to Ravi Manjithaya, head of neurosciences.
“Prof Rao has always been ahead of his time, and still is,” he said. “We do cutting-edge research at par with the rest of the world, even though we are surprisingly one of the smallest research institutes in the world. We consistently rank high, sometimes to our own surprise, and one of the main reasons is how so many departments are pushed to work together so closely.”
Last year, just like every other year, JNCASR was ranked in the top 30 of India’s National Institutional Ranking Framework (NIRF), the only autonomous institute under the Department of Science and Technology to achieve this. In international research rankings too, the small research institute consistently punches above its weight, with a high point being a global ranking of 7 by scientific publisher Nature in 2019.
The research at the institute is often innovative. Biotechnologist Dr. Sheeba Vasu, for example, works on biological clocks and what determines human sleep patterns.
“We live on earth, we have 24-hour clocks. However different organisms fit into various temporal niches beyond just mere response to sunlight. We ask in our labs, using flies , how clocks evolve biologically,” summed up Vasu, whose lab works at the intersection of neuroscience, biotechnology, and genetics.
On the administrative side, JNCASR’s faculty and staff hold a deep respect for Rao’s leadership, especially his policy of unburdening scientists from bureaucracy and paperwork.
“At what institute will a senior registrar and administrator be sitting like this, helping with interviews and arranging appointments,” Manjithaya laughed, pointing at Jayachandra seated across from him.
Also Read: ‘We are scientists, not beggars’. Indian Science Congress is in a war against govt
Rao’s seminal work on solid state chemistry, materials, metal oxides and conductivity has led to advances in the fields of superconductivity, hybrid materials, nanomaterials, insulators, and more.
He is passionate about fostering stronger interdisciplinary research, both within India and internationally. His seven-decade-long experience in the Indian scientific community has only made him more optimistic.
As the Raos and the institute plan for their future, the next batch of PhD students has already arrived. Each department is hosting orientation sessions where the faculty introduce the students to the campus and their to-be colleagues. Around 30 young scholars, from all over the country, fresh from universities, introduce themselves to the people they will spend the next five years with, walking around campus, and looking inside laboratories with stars in their eyes.
“I am not disappointed by academia,” Rao said. We must work hard. One can achieve when one contributes without self-interest. Once in a way, bright research ideas come in. Then we have made it.”
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npj Vaccines volume 9 , Article number: 155 ( 2024 ) Cite this article
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The global population is increasingly reliant on vaccines to maintain population health with billions of doses used annually in immunisation programmes. Substandard and falsified vaccines are becoming more prevalent, caused by both the degradation of authentic vaccines but also deliberately falsified vaccine products. These threaten public health, and the increase in vaccine falsification is now a major concern. There is currently no coordinated global infrastructure or screening methods to monitor vaccine supply chains. In this study, we developed and validated a matrix-assisted laser desorption/ionisation-mass spectrometry (MALDI-MS) workflow that used open-source machine learning and statistical analysis to distinguish authentic and falsified vaccines. We validated the method on two different MALDI-MS instruments used worldwide for clinical applications. Our results show that multivariate data modelling and diagnostic mass spectra can be used to distinguish authentic and falsified vaccines providing proof-of-concept that MALDI-MS can be used as a screening tool to monitor vaccine supply chains.
Introduction.
Safe and effective medicines are crucial to people’s health worldwide but an increase in substandard and falsified pharmaceutical products threatens public health on a global scale. The World Health Organisation estimated that over 10% of pharmaceutical products in lower and middle-income countries were substandard or falsified (SF) in 2017 and has identified SF medicines as one of the urgent health challenges for the next decade 1 , 2 .
Reports of SF vaccine products have been increasing in recent years, including rabies, cholera, meningitis, yellow fever, hepatitis B and coronavirus disease 2019 (COVID-19). For example, in the first 15 months of the global COVID-19 vaccination programme, there were over 184 reports, across 48 countries, of diverted and SF COVID-19 vaccines, involving millions of doses 3 . A range of adulteration and falsification incidents have been identified, including replacement of vaccines with saline or other adjuvants such as sugar solutions and antibiotics, and errors in manufacture have led to substandard production 4 , 5 , 6 , 7 , 8 . Before the COVID-19 pandemic, there were multiple examples, including low potency rabies vaccines for dogs in China 9 , contaminated Salk polio vaccine in the USA 10 , falsified rabies vaccines in the Philippines 11 , falsified yellow fever vaccine in Bangladesh 12 and mass administration by health workers of falsified routine childhood vaccines in Indonesia 13 .
Substandard vaccines arise from inadvertent errors in manufacturing and/or degradation in supply chains (e.g. inappropriate cold chain management), and falsified (aka counterfeited) vaccines arise from criminal, fraudulent activities 14 . It is important to distinguish these as the origins and solutions are different, but both are a major health risk for recipients with the potential to lead to increased morbidity and mortality and undermine the reputation of vaccines as safe medical products that play a vital role in maintaining the health of communities worldwide 15 , 16 . With a rise in vaccine use globally, it is becoming increasingly clear that a lack of risk analysis, monitoring and intervention within supply chains is allowing the problem of vaccine falsification, in particular, to develop 17 , 18 . The current lack of testing and monitoring represents a significant vulnerability, and new methods are required to enable risk-based post-market surveillance 2 . Vaccine supply chains are complex and rigorous testing at the proximal end of the supply chain, for example, will not mitigate against incidents downstream of this. Screening at the distal end of the supply chain may necessitate a larger, more differentiated testing network, spanning multiple locations and requiring rapid results. A range of techniques, devices and methods are therefore likely to be needed to effectively monitor supply chains for SF products and differentiate these from authentic vaccines 19 . Many, if not most, countries do not have laboratories able to check the quality of a diverse range of vaccines. Hence, testing methods are needed in central facilities that can rapidly give detailed information to facilitate decisions, ensuring that appropriate samples are sent to reference laboratories. Given the growing need for vaccine authenticity testing and the current lack of suitable methods, we explored matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) as an approach for detecting vaccine falsification.
Mass spectrometry (MS) has emerged as an important platform for molecular-level profiling, providing high sensitivity and high selectivity for the analysis of molecular composition in complex samples 20 . Machine learning and additional statistical approaches are also used to classify samples and identify biomarkers 21 , 22 , 23 , 24 . For example, metabolite profiles are used to differentiate healthy and disease states in biological extracts and blood products, such as serum and plasma, where machine learning is used to explore the large amounts of chemical information inherent in such datasets and implement ' untargeted ' hypothesis-generating approaches to data analysis 25 , 26 , 27 . Liquid chromatography–mass spectrometry (LC-MS) and gas chromatography–mass spectrometry (GC-MS) are commonly used for molecular characterisation but these research-grade instruments are expensive, require high levels of expertise to operate and are not evenly distributed worldwide, and therefore less favourable for screening at a global scale.
MALDI-MS is used in proteomics and, more recently, mass spectrometry imaging and molecular profiling applications such as metabolomics and small molecule pharmaceutical analysis 28 , 29 , 30 , 31 , 32 , 33 , 34 . Low sample volume requirements and the high-throughput nature of the analysis, provide significant benefits 35 , 36 , 37 , 38 , 39 . Recent developments in MALDI-MS applications for routine clinical testing are of specific interest; for example, used in high-throughput microorganism identification where pathogenic bacteria can be rapidly identified at low cost. The speed and effectiveness of this approach has led to worldwide deployment of MALDI-MS instruments; mainly Bruker MALDI Biotyper Sirius and bioMérieux VITEK MS systems in clinical laboratories for routine medical testing 40 . This provides an attractive, low-cost mass spectrometry platform with a global infrastructure that could be used for coordinated vaccine authenticity testing.
Vaccines, depending on their type, can contain a wide range of antigens (as active ingredients), such as messenger RNAs (mRNAs), oligomers, viral vectors, live attenuated or killed organisms, lipids, polymers, proteins and a range of small molecule adjuvants which can include sugars and other biomolecules 41 . The heterogeneity of different vaccines, both in terms of diversity in active constituents, physiochemical properties and concentrations, makes samples challenging to characterise from an analytical perspective. To date, we are not aware of any applications using MALDI-MS for vaccine characterisation and authentication studies but the inherent sensitivity and molecular selectivity of MALDI-MS, and the existing worldwide availability of instrumentation in clinical microbiology laboratories, provides a compelling case to explore its potential as a device for vaccine authentication. The focus of this study was to explore the capabilities of MALDI-MS “ biotyping ” systems for vaccine analysis by developing a method and validating it for the analysis of authentic vaccine samples, falsified vaccines and their categorisation using machine learning approaches. For the data analysis, we explored several data processing software approaches, including SpectralWorks AnalyzerPro XD software which was then successfully used for processing and statistical analysis of the MALDI data. However, we found the open-source packages MALDIquant 42 and MetaboAnalyst 5.0 webtool 43 highly effective in combination and used these for the data analysis reported in this study. We tested the workflow using four different commercially available vaccines and a range of known-falsified vaccine compositions. We used machine learning and additional statistical analysis to model the data and predict m/z features from the experimental data that had the potential to be used in an online database approach for vaccine authenticity screening. Figure 1 provides a conceptual overview of the workflow developed in this study.
Step A: vaccine samples to be analysed are pipetted into a 96-well plate positioned in the INTEGRA Assist Plus. Step B: replicate spots of 1:1 ( V / V ) premixed sample and α-cyano-4-hydroxycinnamic acid (CHCA/HCCA) matrix are pipetted onto the target plates using the Assist Plus robot. Step C: raw spectra are acquired using the MALDI-MS instruments. Step D: data processing of the raw spectra and statistical analysis are performed. MALDI: matrix-assisted laser desorption/ionisation; PLS-DA partial least squares-discriminant analysis. This figure was created using BioRender.com.
Four different authentic, commercially available, vaccines and eight falsified surrogates previously reported in falsified vaccine products 3 , were used in this study. The authentic vaccines were Nimenrix (Pfizer Ltd, Sandwich, UK), a conjugate vaccine that protects against Neisseria meningitidis groups A, C, W-135 and Y; Engerix B (GlaxoSmithKline, Brentford, UK), which protects against hepatitis B virus infection (HBV); Flucelvax Tetra (Seqirus Ltd., Maidenhead, UK) which protects against influenza (Sept/Oct 2021 to early 2022 season) and Ixiaro (Valneva Ltd., Fleet, UK), for immunisation against Japanese encephalitis virus infection. Information about genuine vaccines and falsified vaccine surrogates is provided in Table 1 3 , 8 , 44 , 45 , 46 , 47 , 48 , 49 .
We performed sample analysis in parallel on two separate MALDI-MS systems, both routinely used for microorganism clinical testing with worldwide deployment. A MALDI Biotyper Sirius (Bruker Daltonics) and a VITEK MS (bioMérieux, Craponne, France). The two instruments provided very similar performance when combined with data modelling but interestingly provided slightly different mass spectral profiles when visually compared. First, we acquired mass spectra using methods adapted from the standard in vitro diagnostic (IVD) parameters provided on both instruments. We made slight adjustments to the laser raster pattern and percentage energy range to accommodate a broader range of sample types. Spectra were acquired over three different overlapping m/z ranges: 0–900; 700–2500 and 2000–20,000. Representative spectra for Engerix B and the eight falsified constituent samples at m/z 700–2500 and m/z 2000–20,000 mass ranges are shown in Supplementary Figs. 1 , 2 for the Biotyper Sirius and VITEK MS instruments, respectively. Visible peaks in the low-mass range included matrix peaks that were common to all samples and could be identified from matrix blanks, as well as analyte peaks related to the individual samples. Given the rich spectral data obtained in the m/z 0–900 range, where vaccine-specific excipients were found, we decided to focus on this m/z range in further analyses. Figure 2 shows representative mass spectra for the Engerix B vaccine and each of the surrogate falsified samples as well as blank CHCA matrix at the m/z 0–900 range (similar comparisons for the other vaccines are provided in Supplementary Figures 3 & 4 ). Non-matrix peaks, that were unique to either individual vaccines or falsified constituents, were identified by manual inspection of the spectra. The spectral peaks in Fig. 3 a, b provide an illustration of the presence and absence of mass spectral peaks which were observed for Engerix B and the falsified vaccine constituents. These analyses established the proof-of-principle that the MALDI-MS systems were capable of measuring mass spectral peaks that can distinguish genuine comparator vaccines from falsified vaccine surrogates.
a Biotyper Sirius mass spectra. b VITEK mass spectrometry (MS) spectra. Through the presence, absence and relative intensity ratios of peaks in the spectra, the genuine vaccine can be distinguished from the falsified constituents by manual inspection of spectra. Common matrix peaks are indicated by shaded bars.
A pooled QC sample was prepared from the vaccines and falsified samples. An Assist Plus robot was used to combine the matrix with each sample in a 1:1 (V/V) ratio and then spot onto the MALDI plate. Only the QC and first three samples are illustrated, but all four authentic vaccines and eight falsified constituent samples were prepared in the same way across multiple MALDI plates which were analysed in a random sequence within the MALDI instruments. CHCA: α-cyano-4-hydroxycinnamic acid; MALDI-MS: matrix-assisted laser desorption/ionisation-mass spectrometry. This figure was created using BioRender.com.
Having established the feasibility of distinguishing vaccines and falsified constituents by manual inspection, we next developed and validated a method and workflow for data processing and analysis. The reproducibility of MALDI-MS mass spectra is known to be largely affected by matrix type, sample composition and matrix-sample crystallisation conditions, as well as the specific laser ablation parameters 50 , 51 , 52 . We, therefore, investigated analytical reproducibility on both platforms.
In order to determine analytical “ spot-to-spot ” reproducibility and intra-batch (vaccine vial-to-vial) reproducibility, we analysed replicates of the four authentic vaccine samples and eight falsified surrogates. For each sample vial, we created four replicate spots on the MALDI target plate and replicated this three times using three separate vials (same manufacturer batch number/part number), so there were 12 MALDI sample spots for each vaccine and falsified constituent on a MALDI plate. All samples were distributed across three Bruker MALDI plates and six bioMérieux MALDI slides, respectively (due to the different dimensions of the plates for both systems). We also created a pooled quality control sample which comprised an equal volume mixture of each of the four authentic vaccines and eight falsified vaccine samples. The experiment was designed to investigate analytical reproducibility, spot-to-spot variability and vial-to-vial reproducibility. A schematic illustrating how the MALDI plate samples were spotted, and the plates configured is shown in Fig. 3 .
Each MALDI spot was analysed under the same settings for each instrument. A randomised acquisition sequence was used to control for any bias in sample preparation or run order. Table 2 provides the percentage RSD for the total ion intensity for all 12 replicates of each sample and 24 QC replicates prior to intensity calibration from analysis on the Sirius MALDI platform (equivalent data for the VITEK is given in Supplementary Table 1 ). These results show the total variation of the vaccine or falsified constituent samples. The range in RSD values for all samples except Amikacin was from 18 to 44% over all sample replicates for each group. This reproducibility in signal intensity was similar to the RSDs reported in other MALDI-based profiling studies using other sample types 53 . Figure 4a shows the vial-to-vial reproducibility specifically (e.g., inter-vial variability) for each genuine vaccine and falsified constituent, comprising individual percentage RSD calculations for the four sample preparation replicates of each vial. Equivalent data for the VITEK is shown in Supplementary Fig. 5a .
a The percentage relative standard deviation (RSD) values for each vial per sample are plotted showing the range and mean. b The total ion count (TIC) for each quality control (QC) sample replicate plotted in consecutive run order shows no particular bias (replicates spotted on different target plates are alternately shaded/white). c TIC, laser power, and number of shots of the laser for replicates plotted consecutively for each QC sample.
Analysis of Amikacin, Gentamicin, and Nimenrix gave some of the highest RSD values and the total RSD for all 12 replicates of Amikacin was anomalously high at 122% in the Sirius data (see Table 2 ). These higher percentage RSD values correlated with poorer co-crystallisation of the sample with the CHCA matrix on the MALDI plate prior to analysis. For these three samples, all 12 replicates exhibited a shiny appearance on the spot surface as opposed to appearing matte with visible matrix crystals observed for most other samples. For Amikacin, the dried spots maintained a droplet-like three-dimensional structure (unlike all other samples which dried flat) and may have resulted in poor sample ionisation and, subsequently, greater intensity variation reflected in the percentage RSD values. This demonstrates the importance of ensuring optimal sample-matrix crystallisation conditions.
To investigate whether there was any observable bias in the intensity measurements, we next plotted the relationship between run order and peak intensity across the QC samples. Figure 4b illustrates the result from the Sirius showing no observable bias (similar results were obtained from the VITEK shown in Supplementary Fig. 5b ). This suggested the process of analysing the MALDI plate in the ion source does not lead to bias in intensity measurement over time. Finally, in order to establish whether the variability observed in replicates of intensity measurements (indicated by the RSD values) was influenced by the laser power or the number of times the laser was fired, we plotted the laser power of the last 50 shots acquired (in the analysis of each sample spot) against the corresponding TICs and the total number of accumulated shots for each replicate in run order for the QC samples for the Bruker Sirius analysis (Fig. 4c ). No correlation was observed suggesting total signal intensity was not biased by any variation in the laser power or in the number of laser firings that may occur between the analysis of different spots.
After establishing that multiple authentic and falsified vaccine constituents could be reproducibly differentiated by the identification of unique mass spectral peaks, and having established reproducibility of peak intensities across replicate samples, we next developed a spectral data processing workflow using the MALDIquant R package. Figure 5a illustrates the main steps in the workflow developed. This includes combining the full spectrum data from all samples into a table for each replicate across all samples, baseline correction, peak intensity normalisation and peak identification. These steps were performed to reduce experimental and analytical variability in the dataset, and to align peaks and their intensities between samples. To do this, we evaluated each step using our vaccine and falsified vaccine sample dataset. The data processing was performed using data from both MALDI platforms. Spectra files were imported into R in mzXML format, with quality control by visual inspection.
a MALDIquant workflow. b Baseline drift correction using TopHat algorithm, spectra for hyaluronic acid. c Comparing the effect of pre and post probabilistic quotient normalisation (PQN) on the percentage relative standard deviation (RSD) for the vaccine, falsified constituent, and quality control (QC) sample replicates. d QC spectrum showing peaks labelled A–E used to illustrate m/z variation. e Box plots illustrating variation in m/z across 24 QC samples for peaks labelled A–E in part D. The line in the grey box indicates the median value, with the box limits showing the interquartile range. Whiskers extend to max and min values. f Comparing different signal-to-noise ratio (SNR) thresholds using an averaged mass spectrum incorporating authentic and falsified vaccines/constituents. Coloured coded numbering representing SNR thresholds.
Baseline drift across the mass range is a common feature of MALDI-mass spectra, and this can interfere with peak intensity comparisons between samples. For example, in Fig. 5b the upper spectrum without correction shows the baseline drifts with increasing m/z . MALDIquant provides either a statistics-sensitive non-linear iterative peak-clipping (SNIP) algorithm developed by Ryan et al. 54 , a TopHat approach derived from mathematical morphology 55 , ConvexHull or median algorithm to correct for this, based on user selection. We applied the TopHat baseline correction to each acquired spectrum which mimicked the default algorithm set in Bruker flexControl software. The lower mass spectrum in Fig. 5b shows the result of applying the baseline correction with the beneficial effect of lowering the baseline, especially towards the higher end of the mass range.
Intensity shifts from one replicate spectrum to another were identified in the analysis of the vaccine and falsified constituent samples (see sample RSD variation in Fig. 6 a, b and QC sample analysis in Fig. 5c ). Post-acquisition data normalisation can be used to minimise these variations and reduce the influence of experimental or analytical variability. There are various statistical approaches (used extensively in metabolomics, for example) where large datasets are compared, and here a probabilistic quotient normalisation (PQN) was applied 56 . This was found to have a positive effect by lowering the RSD values in almost all cases (Fig. 5c ).
a Biotyper Sirius dendrogram. b VITEK MS dendrogram. Hierarchical clustering dendrogram of all samples sorts almost all sample replicates ( n = 12 for each sample type) into their respective groups.
After data normalisation, variations in m/z were evaluated and corrected to ensure effective comparisons could be made across multiple samples in the experiment. Figure 5d shows a representative mass spectrum of the QC sample with five peaks labelled (A − E). Peaks A to E in Fig. 5d show a variation in m/z across the 24 QC replicates which are illustrated by the box plots in Fig. 5e . The mean average range in m/z value per peak was 0.231 Da with a standard deviation of 0.06 Da. This variability is largely due to differences in peak shape where flat top peaks lead to fluctuation in the centroided m/z value (Exemplar peak shapes shown in Supplementary Fig. 6 ). Peaks were aligned to correct for this using non-linear warping of peaks with the locally weighted scatterplot smoothing (LOWESS) method 57 , 58 with tolerance, SNR and half-window size parameters selected to optimise the spectral alignment of the dataset.
To evaluate how mass spectral peaks are ' picked ' , (e.g. automatically recognised as an individual mass spectral peak) and accurately assigned across samples, we tested various signal-to-noise ratio threshold settings. MALDIquant can identify local maxima and minima across the mass spectrum and then compare which peaks are above a set SNR threshold to identify the signal as a spectral peak for inclusion in the dataset. Figure 5f illustrates the effect of different signal-to-noise ratios using an averaged mass spectrum of all the genuine and falsified vaccine samples. Peak binning (with a user-defined threshold) was also used at this stage to ensure individual m/z features were correctly assigned across all the mass spectra. This increases mass spectral precision to ensure a more effective data comparison. The threshold for peak binning was chosen based on an evaluation of the spectral resolution across the dataset.
Having developed and validated a combined sample analysis and data processing workflow we applied this to analyse and compare authentic and falsified vaccine constituents using both MALDI platforms in parallel. We analysed samples from three replicate vials of each of the four authentic vaccines and eight falsified vaccine surrogates. Four analytical replicates were also analysed for each vial replicate to investigate analytical and vaccine vial-to-vial reproducibility. The samples were spotted and then analysed using the 0–900 m/z range. The resulting data were processed using the MALDIquant workflow developed, and a data table representing all the results was produced (example given in Supplementary Table 2 ). The heatmap in Supplementary Fig. 7 provides a visual overview of the dataset and was used to confirm that no individual or experimental class outliers were present (equivalent figure for the VITEK MS in Supplementary Fig. 8 ). To explore whether the vaccines and falsified constituents could be distinguished from each other using a multivariate statistical machine learning approach, we first performed hierarchical clustering (based on a Euclidean distance measure and a Ward clustering algorithm). We found that each of the samples replicates clustered together (Fig. 6 ) in almost all cases for the data collected on both MALDI platforms, which showed that both datasets contained m/z features that could differentiate authentic and falsified vaccines. To statistically model how well the data could distinguish the different sample groups, we compared each individual authentic vaccine with all the falsified vaccine samples using partial least squares-discriminant analysis (PLS-DA), commonly used in untargeted data modelling 59 , 60 . PLS-DA is a supervised dimensionality reduction method that builds models based on input variables and identifies which of these variables maximise separation between the groups. Validated models can be used to make future predictions on new data presented to the model. We first created a PLS-DA model using the Biotyper Sirius data for the authentic Engerix B vaccine with all the falsified vaccines. To illustrate the results, the PLS-DA scores plot (Fig. 7a ) shows sample replicates cluster by sample type, and the model distinguished the authentic vaccine from the falsified vaccine constituents (and also the falsified constituents from each other) and was shown to create a strong model that was not overfitting the data (Fig. 7 b, c ). We subsequently created models for each authentic vaccine using both the Sirius and VITEK datasets. To demonstrate that the PLS-DA models were reliable and not overfitting the datasets, we performed cross-validation, permutation testing and a modified external validation for each model 61 . For the Engerix B Sirius data model R-squared (R2) and Q-squared (Q2) were between 0.8 and 1 and the permutation test statistic was P < 0.01 (Fig. 7b, c ) 62 . Tabulated values for the PLS-DA cross-validation are displayed in Supplementary Table 3 (and the equivalent PLS-DA plots for the VITEK Engerix B data are shown in Supplementary Fig. 9 ). Similar results were obtained when comparing the other three genuine vaccines with all falsified vaccine surrogates across both MALDI platforms (Supplementary Figs. 10 – 15 ). We also performed an independent external validation where each dataset was randomly split into a training set (80% of the data) and an external test set (20% of the data). The models were created using the training set, and then the classifications were confirmed using the test set (which had not been seen by the model previously). Confusion matrices (see Supplementary Tables 4 – 27 , with the genuine vaccine highlighted in yellow) were created for the external validation datasets, and in each case (for both Sirius and VITEK results), the authentic vaccines were predicted correctly 63 . In some cases, the different types of water and saline falsified constituents were not fully resolved, but this was not unexpected considering their compositional similarity and this did not compromise the identification of the authentic vaccines. In summary, our PLS-DA modelling demonstrated that the MALDI-MS data could be used to reliably predict each genuine vaccine from falsified constituents.
a PLS-DA two-dimensional scores plot shows sample group clustering. b Cross-validation shows a minimum of four components (mass spectral peaks) are required to differentiate the experimental groups for the best Q-squared (Q2) value (shown by *). Supplementary Table 3 gives the numerical values for the performance of accuracy, R-squared (R2) and Q2 in the cross-validation. The performance axis indicates the predictive ability of the model. c Permutation testing showed the model was significant with P < 0.01.
Next, we identified the most discriminatory mass spectral peaks in the models by examining the top 15 m/z features in the Variable Importance in the Projection (VIP) plot. Figure 8a shows the ranking of each of the top 15 m/z values from the Sirius data by way of example. The mass spectral abundance differences for the top 15 VIPs were statistically significant for at least one or more of the falsified constituents individually compared to Engerix B (two-way ANOVA with Dunnett multiple comparison test, Fig. 8b ). Supplementary Figs. 16 – 22 further illustrate Sirius and VITEK MS VIP plots and ANOVA summaries for the falsified surrogates compared to the genuine vaccines. The PLS-DA results demonstrated that the MALDI data modelling, based on the full MALDI-mass spectrum, could be used to discriminate between authentic vaccines and falsified vaccine constituents in addition to the four genuine vaccines themselves (Supplementary Fig. 23 ).
a Variable importance in the projection (VIP) of the peaks at m/z 0–900 for the Engerix B vaccine compared to the eight falsified constituents. The top 15 m/z values are plotted based on their VIP score. The heatmaps to the right of the plot represent the relative intensities of the m/z values for each sample group averaged over the group. b Two-way analysis of variance (ANOVA) with Dunnett multiple comparison test results for the top 15 m/z values from the VIP analysis. m/z values with at least one statistically significant comparison ( P < 0.05) for a falsified constituent compared to Engerix B are marked with a check.
One way to implement the MALDI-MS method as a tool for vaccine supply chain screening, would be to automate matching and scoring multiple spectral peaks identified in experimental samples with an online database containing multiple discriminatory m/z features previously collected and validated using samples of authentic vaccines. For example, a real-time score or percentage match for the mass spectral profile could be used to indicate the likelihood of vaccine authenticity. This approach is analogous to that currently used for bacterial strain identification by MALDI-MS in clinical laboratories worldwide. A complex profile of multiple m/z features would, therefore, be required to make a positive match with a falsified product and creating such a falsified product with the necessary specificity would likely be impractical and uneconomic.
Finally, we manually validated the multivariate model’s ability to predict important biomarker m/z values and identify candidate peaks. To do this, we interrogated the processed dataset independently from the PLS-DA model, comparing each individual m/z value’s peak intensity in the list of all identified peaks measured across all samples to look for statistically significant differences in mean abundance. For example, we compared each mass spectral peak from the Engerix B analysis with each peak from the analysis of the falsified vaccine constituents using ANOVA with the Dunnett multiple comparison test. In total 3699 m/z values were compared statistically, of these 143 showed statistically significant difference between Engerix B and at least one of the falsified vaccine constituents. Of the 143 significant peaks, 63 peaks were present in a falsified vaccine sample and not present at all in the genuine Engerix B, or vice versa. 63 peaks were, therefore, found to be unique differentiators of authenticity or falsification. It was, therefore, straightforward to unambiguously differentiate Engerix B from all other falsified vaccine surrogate samples using these peaks. The result of this analysis showed that there were many mass spectral peaks that could be used to discriminate the falsified from authentic vaccine samples. This provided strong redundancy and, therefore, demonstrated the potential for developing a database of distinguishing mass spectral peaks that could be used for vaccine authenticity testing. We have purposefully, on public health security grounds, not provided the full list of these features so as not to reveal specific features that may be used in any future databases for authenticity testing. However, Fig. 9 summarises the numbers of m/z features and those found to be significant and Fig. 10 presents two peaks from the group of 63 to illustrate. All of the Top 15 VIP m/z values from the PLS-DA modelling in Fig. 8a were also found in the 143 peaks identified by univariate statistical analysis for Engerix B, illustrating the overlap between the machine learning and manual inspection approaches for the identification of potential “ biomarker ” peaks suitable for differentiating genuine from fake vaccine samples.
Bar A represents the 3699 total m/z values identified by MALDIquant peak detection and binning. B represents the 143 peaks in the raw spectra that yielded a statistically significant P value (P ≤ 0.05) for at least one falsified constituent compared to Engerix B. Bar C represents the 63 significant peaks in the raw spectra that have a clear presence in Engerix B and absence in at least one falsified constituent (or vice versa).
a Peaks present at m/z 148.661 in 0.9% ( m/V ) sodium chloride, 5% ( m/V ) glucose, tap water, Milli-Q and water for injection but not the genuine vaccine Engerix B. b A peak at m/z 656.246 unique to Engerix B against the falsified vaccine constituents 5% ( m/V ) glucose, Amikacin, Gentamicin, Milli-Q and water for injection.
Reports of substandard and falsified vaccines are increasing worldwide. In response, we have developed and validated a MALDI-MS sample analysis and data processing method and demonstrated its successful implementation in the context of vaccine authentication using four different authentic vaccines and known falsified vaccine surrogates. We chose two different MALDI systems that are distributed globally for the routine identification of pathological microorganisms in clinical laboratories. This pre-existing network of instrumentation, therefore, provides potential as a resource for future global supply chain monitoring. Combined with open-source machine learning and statistical analysis, we demonstrated our workflow could distinguish genuine from falsified vaccine surrogates accurately. To the best of our knowledge, this is the first time MALDI-MS has been used to successfully identify and discriminate vaccines and falsified surrogates using a machine-learning approach to data analysis.
A challenge in using MALDI-MS, compared to the other mass spectrometry platforms such as LC-MS and GC-MS, is its potential variability in the mass spectral peak intensities. We rigorously tested analytical, experimental and vaccine vial reproducibility and demonstrated that post-acquisition data processing was effective at minimising these effects. Our findings are commensurate with other studies in this regard; for example, in metabolomics applications where MALDI-MS has been applied successfully, in conjunction with machine learning, to identify metabolic differences in sera from lung cancer patients compared to healthy controls 53 . PLS-DA analysis demonstrated that a machine learning approach could be used to model MALDI-mass spectral peaks and their intensities for discriminating authentic and falsified vaccines. We also performed multivariate modelling on multiple authentic vaccines and in all cases, we were able to distinguish genuine from falsified vaccines using the validated PLS-DA model. In some cases, the different types of water and saline used in place of authentic vaccines were not fully resolved from each other, presumably due to their compositional similarity, but this did not detract from the PLS-DA model being able to reliably distinguish authentic vaccines from vaccine surrogates. The results of the PLS-DA modelling provided proof of principle that an unbiased, machine learning approach can successfully identify genuine vaccines from falsified constituents using MALDI-MS data and that this could be performed with very similar results using two different analytical instruments (Bruker Biotyper Sirius and bioMérieux VITEK MS) established and run at different laboratories by different people. Using univariate analysis, we also showed that 63 mass spectral peaks could be identified as uniquely present or absent in the Engerix B spectrum when compared to the falsified vaccine constituents. This illustrated strong potential for developing a database approach for vaccine authentication. The principle behind the identification of microorganisms with MALDI ' Biotyping ' instruments is the comparison of the mass spectrum of an unknown organism against a library of reference mass spectra 64 . Our results show this principle can also be applied to vaccine authentication given the large number of potentially diagnostic (discriminatory) peaks identified through data modelling. In summary, the benefit of MALDI analysis for vaccine authentication is two-fold: first, the method involves globally distributed MALDI technology, already deployed in a health context, making it potentially feasible to develop a global vaccine screening system. Second, using open-source machine learning with the full MALDI-mass spectrum would make it very difficult, if not impossible, to falsify vaccine surrogates that could pass through such a screening approach effectively. A careful assessment of how best to deploy the method in a real-world setting is required, and will be context-dependent. One approach could be to do so in combination with hand-held spectroscopic devices (e.g. as described in Mosca et al., 2023), deployed for rapid ‘on-site’ analysis. Suspicious samples could, in this way, be selected for confirmatory analysis using the MALDI-MS method developed here, potentially at a regional centre where MALDI-MS is already established for clinical testing applications.
The m/z values that proved most discriminatory in our study tended to be the compounds in the m/z 0–900 range and this demonstrated that diagnostic spectra were present for low-mass excipients of the vaccines themselves that we studied. This shows that selectivity is found across a wide range of adjuvants, the vaccine-specific profile of which would be more complex to falsify 65 . This molecular multiplexity can be seen as a benefit for vaccine authenticity testing as it does not rely on the presence or absence of a specific, or even a small number of, ' biomarker ' compounds that have the potential to be relatively easily introduced into falsified products. Whilst this study has focussed on developing a validated method and associated workflow using four genuine vaccines and eight vaccine surrogates known to have been used as falsified vaccines in real-world settings, we see no reasons why this approach could not be extended to other vaccines and liquid medicines such as insulin and biologics and associated falsified products.
This research demonstrates that a MALDI-MS method has the potential to be deployed in an international supply chain setting given that the instrumentation used is currently globally distributed for healthcare applications. The next steps the the porcess would be to develop and test a comprehensive online database for automated vaccine testing based on the methodology and workflow outlined here. Our research was aimed at the detection of vaccine falsification, however, evaluating the utility of MALDI-MS to detect a wider range of substandard vaccines, potentially brought about through inadvertent manufacturing errors or chemical degradation within supply chains (excursions in cold chain management, for example), would also be of interest in future work. We have provided a validated MALDI-MS method and proof of principle that it could be used in a range of vaccine quality control scenarios in the future.
All samples were stored at 4 °C prior to analyses in accordance with manufacturers' storage recommendations and were in date (following labelled shelf-life) at the time of sample preparation and data acquisition. Table 3 provides details of the genuine vaccines used in this study, and the constituents that have been reported to be found in falsified vaccines, also tested in this study. Hyaluronic acid was obtained from Amazon (London, UK), Milli-Q water from a Milli-Q® Direct 8 water purification system (Merck Millipore, Darmstadt, Germany), and tap water from the Chemistry Research Laboratory, Oxford University. All other samples were procured through a local pharmacy in Oxford, UK.
Samples were spotted onto MALDI target plates (Bruker, Billerica, MA, USA; part number (P/N) 1840375) and MS-DS target slides (bioMérieux, Basingstoke, UK), and prepared for analysis using an ASSIST PLUS pipetting robot equipped with an eight channel 12.5 μL VOYAGER adjustable tip spacing pipette and 12.5 μL GripTip pipette tips, all by INTEGRA Biosciences (Zizers, Switzerland; P/N 4505, 4721 and 6453 respectively). A dual reservoir adaptor fitted with a 25 mL divided reservoir (INTEGRA Biosciences; P/N 4547 and 4358 respectively) held the prepared α-cyano-4-hydroxycinnamic acid (HCCA/CHCA) matrix (bioMérieux CHCA matrix purchased from bioMérieux, (Basingstoke, UK; P/N 411071), Bruker standard solvent purchased from Sigma-Aldrich (Dorset, UK; P/N 900666), and Bruker portioned HCCA from Bruker (P/N 8255344)) in deck position A of the robot. Samples were pipetted manually into a 96-well plate (Sarstedt, Nümbrecht, Germany; P/N 72.1980.010) and placed in deck position B and the MALDI target plates were placed into a custom-built holder in position C. A pipetting programme was designed and uploaded to the VOYAGER pipette using the INTEGRA VIALAB software (version 2.1.1.0). For all sample preparations, the matrix and samples were mixed in a 1:1 ( V / V ) ratio and four replicates of 2 μL spots of the mixture were pipetted onto the MALDI target plates. The target plates were air-dried prior to MALDI-MS analysis. Although a pipetting robot was used for the preparation of samples, it should be noted that this is not mandatory and was used for efficiency rather than necessity.
Raw MS spectra were acquired via MALDI-mass spectrometry using a Bruker MALDI Biotyper Sirius (Bruker Daltonics, Bremen, Germany) and a bioMérieux VITEK MS (bioMérieux, Craponne, France). Each sample spot on the MALDI target plate was measured over three overlapping mass ranges: m/z 0–900, m/z 700–2,500 and m/z 2,000–20,000. Prior to sample analysis both MALDI-MS instruments were calibrated with Bruker antibiotic calibration standard (ACS), MBT Star-ACS, and Bruker bacterial test standard (BTS), both acquired from Bruker (product references 1818702 and 8255343, respectively).
For the Bruker MALDI Biotyper Sirius, custom AutoXecute methods were designed in Bruker flexControl software (version 3.4, Bruker Daltonics, Bremen, Germany) for the ' MSP MALDI Biotarget 96 plate ' geometry. Parameters for the three AutoXecute methods were as follows. Laser: MS/parent mode on and weight 2.00; initial laser power of 20% and maximal laser power set to 100%. Evaluation: ' use masses from ' was defined for each of the three specified mass ranges; ' use background list' none; ' ignore the 1 largest peak in the defined mass range ' was not selected; MBT_Process processing method; smoothing and baseline subtraction off; peak resolution must be higher than 400; and digest/peptides with signal intensity ' high ' . Accumulation: MS/parent mode on; sum up 250 satisfactory shots in 50 shot steps; and dynamic termination off. Movement: random walk raster pattern with four shots at raster spot selected and quit sample after 60 subsequently failed judgments. Processing: flexAnalysis and Bio Tools MS methods set to none. Randomised acquisition sequences were generated for each plate of samples (using the 'RAND()' function in Microsoft Excel which generates random numbers), and implemented in the automatic run design within flexControl.
For the bioMérieux VITEK MS, data were acquired using the Shimadzu Biotech Launchpad software version 2.9.5.6 (Kratos Analytical, Manchester, UK). Parameters were as follows: laser power, 48; profiles, 100 per sample; shots, five accumulated per profile; maximum laser rep rate, 50.0. Pulsed extraction was optimised at 450 Da for m/z 0–900, 1600 Da for m/z 700–2500 and 13 kDa for m/z 2000–20,000. The regular circle bioMérieux CHCA raster was used with a diameter of 2 mm, 180 µm spacing and 109 points per target. Parent Data Export in the Method Editor was set as mzXML for the raw data file. SARAMIS Target Manager was used to create a list of samples with corresponding spot locations that was exported to Experiment Genie as a *.txt file. The *.txt file was opened in Microsoft Excel and the acquisition sequence was randomised. In auto experiment, the 4 × 48 Fleximass DS plate configuration was chosen and the *.txt file was set as a standard file in Import Experiment Genie before running the randomised acquisition sequence.
Spectra were exported from Bruker flexAnalysis (version 3.4, Bruker Daltonics) and Shimadzu Biotech Launchpad software (version 2.9.5.6). Raw spectra (.fid data files) from the Bruker Biotyper® Sirius were converted to .mzXML format with the CompassXport data export tool (Bruker Daltonics; version 4.0.0.8). The mzXML files from both Sirius and VITEK were imported into R studio and processed in R v4.1.2 using the MALDI Quant package. Baseline correction was performed using a ' TopHat ' algorithm and intensity calibration was performed with probabilistic quotient normalisation (PQN). Spectral alignment was performed using a half window size, signal-to-noise ratio (SNR) and tolerance of 7, 1 and 0.2, respectively. A locally weighted scatterplot smoothing (LOWESS) warping method was used. Peak detection used the same SNR, and half-window size parameters as previously defined and peak binning used a tolerance of 0.1. The resulting peak intensity matrices were exported as a .csv file for further analysis.
Manual inspection of the raw mass spectra was performed by uploading the data files into Bruker flexAnalysis software (version 3.4) and Shimadzu Biotech Launchpad software (version 2.9.5.6) from the Sirius and VITEK instruments, respectively.
Statistical analysis of the processed peak intensity matrices and visualisation of the data were performed using MetaboAnalyst (version 5.0, https://metaboanalyst.ca ) and Workflow4metabolomics ( https://workflow4metabolomics.org/ ). No data filtering was performed. Metaboanalyst was used to generate ' heatmaps ' , ' hierarchical clustering dendrogram ' , ' principal component analysis (PCA)' and ' partial least squares-discriminant analysis (PLS-DA) ' . MetaboAnalyst data normalisation was performed by ' sum' and Pareto scaled. Workflow4metabolomics was used for external validation of the multivariate models and the generation of confusion matrices. Two-way analysis of variance (ANOVA) with Dunnett multiple comparison test was performed in GraphPad Prism (GraphPad Software, Boston, MA, USA; version 9.4.1). Statistical analysis figures and graphical representations were created using both MetaboAnalyst and GraphPad Prism.
To ensure the MALDI-MS workflow was reproducible and reliable, having developed the method, both MALDI instruments were systematically validated for: (1) intra- and inter-day precision; repeatability and stability. Quality control (QC) samples were prepared as equimolar mixtures of all samples and spotted onto multiple positions on the MALDI plate in the same way as for experimental samples. With each spot representing a QC sample, 24 QC samples were each analysed on two different days, and the intra-day and inter-day precision was calculated as the percentage relative standard deviation (RSD) of the total ion count (TIC) across the mass range for each instrument. Intra-day reproducibility ranged from 28.75% to 41.96% and the combined inter-day precision was 34.85% and 39.89% for the Sirius and VITEK instruments, respectively. QC samples were measured under the same conditions for each instrument to estimate repeatability.
The datasets from this study are available from the corresponding author on reasonable request.
The code used in this study is available from the corresponding author on reasonable request.
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We are very grateful to bioMérieux for the long-term loan of the Vitek MALDI-MS for this project. We would like to thank the staff of the University of Oxford Development Office, Simon Draper, Sarah Gilbert, Adrian Hill, Andrew Pollard, Christopher Conlon and Cathrin Hauk (University of Oxford), Oxford University Hospitals NHS Foundation Trust Pharmacy, University of Oxford Occupational Health Department, Michelle Taylor-Siddons and Islip Surgery for their assistance and advice. We would also like to thank Professor David Clifton from the Department of Engineering, University of Oxford, for discussions around machine learning and staff members at the Mass Spectrometry Research Facility (Department of Chemistry, University of Oxford) for their assistance. We are grateful to the John Fell Fund (JFF 0011807), which provided funds to support this research. We gratefully acknowledge two anonymous donor families and the Oak Foundation, who provided funds to the University of Oxford to support this research. We are grateful to WHO for funding the parallel work at the Rutherford Appleton Laboratory (Ref. 2021/1170671-0) and the support of the Wellcome Trust (222506/Z/21/Z). SD is funded by an NIHR Global Research Professorship (NIHR300791). This research was funded in part, by the Wellcome Trust [222506/Z/21/Z]. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
Present address: Hybrid Materials for Opto-Electronics Group, Department of Molecules and Materials, MESA+ Institute for Nanotechnology, Molecules Center and Center for Brain-Inspired Nano Systems, Faculty of Science and Technology, University of Twente, 7500AE, Enschede, the Netherlands
Hamid A. Merchant
Present address: Department of Bioscience, School of Health, Sport and Bioscience, University of East London, Water Lane, London, E15 4LZ, UK
Department of Chemistry, University of Oxford, Oxford, OX1 3TA, UK
Rebecca Clarke, John Walsby-Tickle, Fay Probert & James S. O. McCullagh
Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK
Tehmina Bharucha, Benediktus Yohan Arman, Bevin Gangadharan, Laura Gomez Fernandez & Nicole Zitzmann
Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, OX1 3QU, UK
Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UK Research and Innovation (UKRI), Harwell Campus, Didcot, OX11 0QX, UK
Sara Mosca, Qianqi Lin & Pavel Matousek
Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK
Kerlijn Van Assche, Michael Deats, Céline Caillet, Pavel Matousek & Paul N. Newton
Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand
Kerlijn Van Assche, Susanna Dunachie, Michael Deats, Céline Caillet & Paul N. Newton
Infectious Diseases Data Observatory, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK
Kerlijn Van Assche, Michael Deats, Céline Caillet & Paul N. Newton
Agilent Technologies LDA UK, Didcot, OX11 0RA, UK
Robert Stokes
NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK
Susanna Dunachie
NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK
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J.S.O.M., N.Z., P.M. and P.N.N. were principal investigators and conceived and designed the project along with J.W.-T., R.C., B.G. and T.B. Sample collection, processing and analysis was performed by J.W.-T., R.C., B.G., T.B. and B.Y.A. Data analysis and interpretation was performed by J.W.-T., R.C., B.G., T.B., and B.Y.A. and F.P. Resources and software were provided by F.P. and R.S. Project funding was provided by J.S.O.M., N.Z., P.M. and P.N.N. J.S.O.M wrote the manuscript. N.Z., PM., C.C., P.N.N., J.W.-T., R.C., B.G., T.B., B.Y.A., F.P., S.M., L.G.F., Q.L., K.V.A., R.S., S.D., M.D., H.A.M. and J.S.O.M. reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Correspondence to James S. O. McCullagh .
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Clarke, R., Bharucha, T., Arman, B.Y. et al. Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening. npj Vaccines 9 , 155 (2024). https://doi.org/10.1038/s41541-024-00946-5
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