黄曲霉毒素
污染
曲霉
真菌毒素
食品科学
主成分分析
生物
微生物学
数学
生态学
统计
作者
Bei Wang,Fei Shen,Xueming He,Yong Fang,Qiuhui Hu,Xingquan Liu
出处
期刊:Food Control
[Elsevier BV]
日期:2022-11-02
卷期号:145: 109485-109485
被引量:13
标识
DOI:10.1016/j.foodcont.2022.109485
摘要
Mould and aflatoxin contamination remains a serious threat to food quality and safety. In this study, simultaneous detection of Aspergillus moulds and aflatoxin B1 (AFB1) contamination in rice was investigated by laser induced fluorescence (LIF) technology for the first time. Different Aspergillus strains belong to toxigenic and non-toxigenic species were artificially inoculated in rice samples and storage for a period of time to evolve into various mould and AFB1 infection levels. Spectral analysis and principal component analysis (PCA) indicated that mould activity could be monitored by LIF spectroscopy. Subsequently, three classification methods based on linear and non-linear algorithms were established to classify rice samples in terms of the type of infected mould, mould infection level as well as AFB1 concentration. The best correct classified rate obtained achieved 97% with false positive rates less than 2%. In addition, the discrimination towards rice flour samples performed better than kernel samples. These findings verify the potential of LIF spectroscopy as a rapid and non-destructive way for sensitive and effective detection of mould and aflatoxin contamination in grains without any complicated pre-processing.
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