Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening.

ABSTRACT: 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 dif

SUBMITTER: Clarke R 

PROVIDER: S-EPMC11358428 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature