Second-order Calibration-assisted Excitation-emission Matrix Fluorescence Detection of Multi-class Mycotoxins in Grape, Wine and Raisin for Food Safety Assessment
文献类型: 外文期刊
第一作者: Shuangnan, Xie
作者: Shuangnan, Xie;Chao, Tang;Hongtao, Jia;Hongtao, Jia;Qi, Shen;Weizhong, He;Shiyi, Deng;Jing, Tang;Zhi, Liu;Cheng, Wang
作者机构:
关键词: Grape product; Mycotoxin analysis; EEM detection; ATLD algorithm; Food safety
期刊名称:JOURNAL OF FLUORESCENCE ( 影响因子:3.1; 五年影响因子:2.9 )
ISSN: 1053-0509
年卷期: 2025 年
页码:
收录情况: SCI
摘要: Mycotoxin in grape and its products (wine, raisin) is a widely concerned issue of food safety, it closely associated with consumers' health. In this study, an analytical strategy by combining second-order calibration method with excitation-emission matrix (EEM) fluorescence detection followed photo derivatization (PD) was explored for rapid and sensitive analysis of aflatoxin B1 (AFB1), ochratoxin A (OTA), zearalenone (ZEA) in grape, raisin and wine. Except simple solvent extraction by ethyl acetate and concentration by vacuum distillation, samples don't need other complicated treatment steps any more. With the aid of predominant second-order advantages of alternative trilinear decomposition (ATLD) algorithm, 'pure' spectra and quantitative signals of targeted mycotoxins can be resolved from the heavily interfered EEM profile of sample even in the presence of spectral overlaps and unknown backgrounds. The recoveries of AFB1, OTA and ZEA in four kinds of samples are in the range of 90% to 110%, the limits of detection (LODs) were low to 0.1 mu g kg-1, 0.5 mu g kg-1 and 0.8 mu g kg-1, respectively. This analytical strategy may be as an alternative method for improving mycotoxin analysis in complex food matrices and ensuring food safety in grape industry.
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