A Review of the Methodology of Analyzing Aflatoxin and Fumonisin in Single Corn Kernels and the Potential Impacts of These Methods on Food Security
| Autor: | Matthew J. Stasiewicz, Xianbin Cheng, Ruben A. Chavez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
mycotoxin surveillance
Aflatoxin Health (social science) Mycotoxin contamination mycotoxin prevention Review Plant Science lcsh:Chemical technology single kernel 01 natural sciences Health Professions (miscellaneous) Microbiology mycotoxin chemistry.chemical_compound fumonisin 0404 agricultural biotechnology Bulk samples Fumonisin lcsh:TP1-1185 Mycotoxin global food safety Food security 010401 analytical chemistry aflatoxin 04 agricultural and veterinary sciences Contamination 040401 food science 0104 chemical sciences corn Food waste chemistry Environmental science Biochemical engineering Food Science |
| Zdroj: | Foods Foods, Vol 9, Iss 3, p 297 (2020) |
| ISSN: | 2304-8158 |
| DOI: | 10.3390/foods9030297 |
| Popis: | Current detection methods for contamination of aflatoxin and fumonisin used in the corn industry are based on bulk level. However, literature demonstrates that contamination of these mycotoxins is highly skewed and bulk samples do not always represent accurately the overall contamination in a batch of corn. Single kernel analysis can provide an insightful level of analysis of the contamination of aflatoxin and fumonisin, as well as suggest a possible remediation to the skewness present in bulk detection. Current literature describes analytical methods capable of detecting aflatoxin and fumonisin at a single kernel level, such as liquid chromatography, fluorescence imaging, and reflectance imaging. These methods could provide tools to classify mycotoxin contaminated kernels and study potential co-occurrence of aflatoxin and fumonisin. Analysis at a single kernel level could provide a solution to the skewness present in mycotoxin contamination detection and offer improved remediation methods through sorting that could impact food security and management of food waste. |
| Databáze: | OpenAIRE |
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