Skip to main content
ARS Home » Midwest Area » Peoria, Illinois » National Center for Agricultural Utilization Research » Mycotoxin Prevention and Applied Microbiology Research » Research » Publications at this Location » Publication #421934
Research Project: Innovative Approaches to Monitor, Predict, and Reduce Fungal Toxins

Location: Mycotoxin Prevention and Applied Microbiology Research

Title: Developments in mycotoxin analysis: an update for 2023-2024

Author
item TITTLEMIER, SHERYL - Canadian Grain Commission
item CRAMER, BENEDICT - University Of Munster
item DEROSA, MARIA - Carleton University - Canada
item DZUMAN, ZBYNEK - University Of Chemistry And Technology
item KODIKARA, CHAMALI - Canadian Grain Commission
item MALONE, RYAN - Trilogy Analytical Laboratory
item Maragos, Chris
item SUMAN, MICHELE - Barilla Food Research Labs
item SUMARAH, MARK - Agriculture And Agri-Food Canada

Submitted to: World Mycotoxin Journal
Publication Type: Review Article
Publication Acceptance Date: 1/23/2025
Publication Date: 2/12/2025
Citation: Tittlemier, S.A., Cramer, B., Derosa, M.C., Dzuman, Z., Kodikara, C., Malone, R., Maragos, C.M., Suman, M., Sumarah, M.W. 2025. Developments in mycotoxin analysis: an update for 2023-2024. World Mycotoxin Journal. https://doi.org/10.1163/18750796-bja10013.
DOI: https://doi.org/10.1163/18750796-bja10013

Interpretive Summary:

Technical Abstract: This review summarizes developments published in the period from mid-2023 to mid-2024 on the quantitative and qualitative determination of mycotoxins in a various matrices. Important developments in all aspects of mycotoxin analysis, from sampling and quality assurance/quality control of analytical results, to the various detection and quantitation technologies ranging from biosensors to comprehensive instrumental methods are presented and discussed. This non-exhaustive summary and associated discussion covers such technology as chromatography with targeted or non-targeted high resolution mass spectrometry, detection other than mass spectrometry such as fluorescence or diode array detection, biosensors, assays using alternatives to antibodies, as well as methods using predictive modelling and incorporating machine learning. This collaborative critical review intends to guide readers to relevant research by briefly presenting the most important developments in mycotoxin determination published in the past year. This review also relays limitations of the presented methodologies, in order to provide a fulsome assessment of the analytical developments.