Evidence map›Paper›PMID 41699379›Full record

ArticleScientific reports2026

Biochemical profiling provides a low-cost and globally accessible method to detect falsified vaccines and insulin.

Jennifer Brook, Tehmina Bharucha, Benediktus Yohan Arman, Céline Caillet, Susan Morris, Michelle Taylor-Siddons, Laura Gomez Fernandez, John Walsby-Tickle, Isabelle Legge, Sneha Banerjee and 18 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Jennifer BrookDepartment of Clinical Biochemistry, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.
Tehmina BharuchaDepartment of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK.
Benediktus Yohan ArmanDepartment of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK.
Céline CailletMedicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK.
Susan MorrisPandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7TY, UK.
Michelle Taylor-SiddonsHospital Pharmacy, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Laura Gomez FernandezDepartment of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK.
John Walsby-TickleDepartment of Chemistry, University of Oxford, Oxford, OX1 3TA, UK.
Isabelle LeggeDepartment of Chemistry, University of Oxford, Oxford, OX1 3TA, UK.
Sneha BanerjeeCentral Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, Didcot, OX11 0QX, UK.
Michael DeatsMedicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK.
Rajender JenaSerum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune, 411028, India.
Dnyanesh S RanadeSerum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune, 411028, India.
Shrikrishna R ChunekarSerum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune, 411028, India.
Kundan D PatilSerum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune, 411028, India.
Sunil GairolaSerum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune, 411028, India.
Susanna DunachieMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand.
Hamid A MerchantDepartment of Bioscience, School of Health, Sport and Bioscience, University of East London, Water Lane, London, E15 4LZ, UK.
Robert StokesAgilent Technologies LDA UK, Becquerel Avenue, Didcot, OX11 0RA, UK.
Rutendo KuwanaRegulation and Safety Unit, Regulation and Prequalification Department, Health Systems, Access and Data Division, World Health Organization (WHO), Geneva, Switzerland.
Alexandrine MaesRegulation and Safety Unit, Regulation and Prequalification Department, Health Systems, Access and Data Division, World Health Organization (WHO), Geneva, Switzerland.
Sarah GilbertPandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7TY, UK.
James McCullaghDepartment of Chemistry, University of Oxford, Oxford, OX1 3TA, UK.
Pavel MatousekMedicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK.
Nicole ZitzmannDepartment of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK.
Paul N Newton *Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LG, UK.
Bevin Gangadharan *Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK. bevin.gangadharan@bioch.ox.ac.uk.
Tim James *Department of Clinical Biochemistry, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK. Tim.James@ouh.nhs.uk.

Funding

National Institute for Health and Care Research NIHR300791Oak Foundation OFIL-20-237Wellcome TrustWellcome Trust 222506/Z/21/ZWorld Health Organization 2021/1170671-0
6 · The paper itself

Abstract

For many decades, there have been numerous reported cases of falsified liquid medical products, including vaccine and insulin preparations worldwide, but to date, there has been a lack of affordable and accessible analytical methods for biological medicines and vaccine authenticity testing. A conventional clinical chemistry analyser (Abbott Architect c16000) was used to determine the concentrations of analytes in genuine liquid biological products (vaccines and insulin) and falsified vaccine surrogates. Eight analytes were measured for each sample: sodium, potassium, chloride, calcium, magnesium, phosphate, glucose and protein. Each genuine liquid product had unique concentrations of analytes when tested using the eight methods applied, allowing clear differentiation from the falsified surrogates. In a blinded study, reproducibility was significantly high when the samples were run intra- and inter-batch up to 9 times over 9 different days, and it was possible to identify most of the samples by analyte presence alone. Imprecision was < 1.0 CV% for ion-selective electrode methods and typically < 5 CV% for spectrophotometric methods. A decision tree was created which was able to identify all samples. We demonstrate for the first time that a conventional clinical chemistry analyser provides a low-cost method to accurately differentiate genuine products from falsified surrogate liquid medicines and vaccines. This novel method has the potential to be used globally due to widespread use of clinical chemistry analysers in hospitals across the world, including in low- and middle-income countries where many cases of falsified medicines have been identified.

Indexed as

InsulinVaccinesHumansReproducibility of ResultsInsulinVaccines

Identifiers

PMID41699379
PMCPMC12910014

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.