Chavez Ruben A, Cheng Xianbin, Stasiewicz Matthew J
Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 S Goodwin Ave., Urbana, IL 61801, USA.
Foods. 2020 Mar 5;9(3):297. doi: 10.3390/foods9030297.
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.
目前玉米行业中使用的黄曲霉毒素和伏马菌素污染检测方法是基于批量水平的。然而，文献表明，这些霉菌毒素的污染高度不均，批量样本并不总能准确代表一批玉米中的总体污染情况。单粒分析可以提供对黄曲霉毒素和伏马菌素污染的深入分析水平，还能针对批量检测中存在的不均现象提出可能的补救措施。当前文献描述了能够在单粒水平检测黄曲霉毒素和伏马菌素的分析方法，如液相色谱法、荧光成像法和反射成像法。这些方法可以提供工具来对受霉菌毒素污染的籽粒进行分类，并研究黄曲霉毒素和伏马菌素可能的共存情况。单粒水平的分析可以解决霉菌毒素污染检测中存在的不均问题，并通过分拣提供改进的补救方法，这可能会影响粮食安全和食物垃圾管理。
