黄曲霉
黄曲霉毒素
真菌毒素
主成分分析
线性判别分析
生物
食品科学
微生物学
数学
统计
作者
Zeyu Chen,Hao Lin,Fuyun Wang,Selorm Yao‐Say Solomon Adade,Tingting Peng,Quansheng Chen
出处
期刊:Food Chemistry
[Elsevier]
日期:2024-01-01
卷期号:430: 137048-137048
被引量:6
标识
DOI:10.1016/j.foodchem.2023.137048
摘要
A novel method was developed for the early detection of wheat infected with Aspergillus flavus (A. flavus) using a nanocomposite colorimetric sensors array (CSA). LC-MS analysis revealed the presence of Aflatoxin B1 (AFB1) and Aflatoxin B2 (AFB2) on day seven, demonstrating mycotoxin variabilities in infected wheat. HS-SPME-GC–MS analysis detected 2-methylbutyral, a gas exclusively associated with toxigenic A. flavus. The CSA was modified using three nanoparticles of MOF and successfully used to detect the wheat infected with A. flavus. Discrimination of different types of infected wheat samples was achieved using the RGB difference map and Principal Component Analysis (PCA) model. Additionally, the Linear Discriminant Analysis (LDA) model accurately predicted the presence of toxigenic A. flavus at various stages of infection. These findings highlight the promising capabilities of nanocomposite CSA for early-stage detection of A. flavus infection in wheat.
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