Abstract：
:Aflatoxins (AFs) are potent carcinogens present in numerous crops. Access to accurate methods for evaluating contamination is a critical factor in aflatoxin risk assessment. Versicolorin A (Ver A), a precursor of aflatoxin B1 (AFB1), can be used as an indicator for the presence of AFB1, even when the AF is not yet detectable. Currently employed Ver A detection methods are expensive, time consuming, and difficult to apply to numerous samples. Herein, Ver A was detected via near-infrared spectroscopy. Both quantitative and two-grade sorting methods were set-up using the extreme gradient boosting algorithm coupled with a support vector machine. This two-tiered method obtained a root-mean-square error of prediction value of 3.57 μg/kg for the quantitative model, and an accuracy rate of 90.32% for the sorting approach. This novel method is rapid, accurate, solvent free, requires no sample pretreatment, and detects Ver A in maize, making it convenient for practical use.
journal_name
Food Chemjournal_title
Food chemistryauthors
Zheng SY,Wei ZS,Li S,Zhang SJ,Xie CF,Yao DS,Liu DLdoi
10.1016/j.foodchem.2020.127419subject
Has Abstractpub_date
2020-12-01 00:00:00pages
127419eissn
0308-8146issn
1873-7072pii
S0308-8146(20)31281-4journal_volume
332pub_type
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