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Peer-reviewedCC BYFoods (Basel, Switzerland)

Conventional and Immunodiagnostic Platforms for the Detection of Major Mycotoxigenic Fungi and Their Toxins for Food Safety.

4 affiliations
  1. 1Institute of Multidisciplinary Research, National Institute of the Republic of Serbia, University of Belgrade, Kneza Viseslava 1, 11030 Belgrade, Serbia.
  2. 2Department of Engineering Design Technology, Cerritos College, 11110 Alondra Blvd, Norwalk, CA 90650, USA.
  3. 3Maize Research Institute, Slobodana Bajića 1, 11185 Belgrade, Serbia.
  4. 4Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11158 Belgrade, Serbia.

Abstract

Mycotoxigenic fungi contaminate cereals, nuts, fruits, and other food commodities, threatening human and animal health. This review focuses on Aspergillus flavus, Fusarium verticillioides, and Alternaria alternata as representative mycotoxigenic fungi because of their importance as food contaminants and their production of major food-relevant mycotoxins. Some methods detect fungal presence or toxigenic potential, whereas others directly quantify toxins. Fungal identification or detection of biosynthetic genes indicates presence or toxin-producing potential, respectively, but neither replaces direct mycotoxin measurement. The diversity of targets, toxins, and food matrices remains a challenge for accurate and practical analysis. Particular attention is given to immunodiagnostic approaches, including enzyme-linked immunosorbent assays (ELISAs), as well as complementary formats such as lateral flow immunoassays (LFIAs), and immunosensors, for laboratory and on-site food safety monitoring. The advantages and limitations of these approaches, with emphasis on sensitivity, specificity, matrix effects, and sample preparation, are discussed. Future aspects will focus on integrated, matrix-validated workflows combining robust sample preparation, multiplex recognition, portable readout, and appropriate quality controls to enable faster and more reliable monitoring of fungal contamination and mycotoxins throughout the food and feed chain.

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BibTeX
@article{bartolic2026conventional,
  title = {{Conventional and Immunodiagnostic Platforms for the Detection of Major Mycotoxigenic Fungi and Their Toxins for Food Safety.}},
  author = {Dragana Bartolić and Mira Stanković and Miodrag Mićić and Slavica Stanković and Dunja Banđur and Jelena Grebenar and Ksenija Radotić},
  journal = {Foods (Basel, Switzerland)},
  year = {2026},
  month = oct,
  doi = {10.3390/foods15203674},
  url = {https://europepmc.org/article/MED/42940311},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Conventional and Immunodiagnostic Platforms for the Detection of Major Mycotoxigenic Fungi and Their Toxins for Food Safety.
AU  - Dragana Bartolić
AU  - Mira Stanković
AU  - Miodrag Mićić
AU  - Slavica Stanković
AU  - Dunja Banđur
AU  - Jelena Grebenar
AU  - Ksenija Radotić
PY  - 2026
DA  - 2026/10/16
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods15203674
UR  - https://europepmc.org/article/MED/42940311
AB  - Mycotoxigenic fungi contaminate cereals, nuts, fruits, and other food commodities, threatening human and animal health. This review focuses on Aspergillus flavus, Fusarium verticillioides, and Alternaria alternata as representative mycotoxigenic fungi because of their importance as food contaminants and their production of major food-relevant mycotoxins. Some methods detect fungal presence or toxigenic potential, whereas others directly quantify toxins. Fungal identification or detection of biosynthetic genes indicates presence or toxin-producing potential, respectively, but neither replaces direct mycotoxin measurement. The diversity of targets, toxins, and food matrices remains a challenge for accurate and practical analysis. Particular attention is given to immunodiagnostic approaches, including enzyme-linked immunosorbent assays (ELISAs), as well as complementary formats such as lateral flow immunoassays (LFIAs), and immunosensors, for laboratory and on-site food safety monitoring. The advantages and limitations of these approaches, with emphasis on sensitivity, specificity, matrix effects, and sample preparation, are discussed. Future aspects will focus on integrated, matrix-validated workflows combining robust sample preparation, multiplex recognition, portable readout, and appropriate quality controls to enable faster and more reliable monitoring of fungal contamination and mycotoxins throughout the food and feed chain.
SN  - 2304-8158
ER  -