| Title: | Detection of wheat toxigenic Aspergillus flavus based on nano-composite colorimetric sensing technology |
| Author(s): | Lin H; Wang F; Lin J; Yang W; Kang W; Jiang H; Adade SYS; Cai J; Xue Z; Chen Q; |
| Address: | "School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China. School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, PR China. Electronic address: zhaolixue@ujs.edu.cn. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China. Electronic address: qschen@ujs.edu.cn" |
| DOI: | 10.1016/j.foodchem.2022.134803 |
| ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
| Abstract: | "Volatile organic compounds (VOCs) are an important indicator for fungal-infected wheat identification. This work proposes a novel approach for toxigenic Aspergillus flavus infected wheat identification through characteristic VOCs analyzed by nano-composite colorimetric sensors. Nanoparticles of poly styrene-co-acrylic acid (PSA), porous silica nanoparticles (PSN), and metal-organic framework (MOF) were combined with boron dipyrromethene (BODIPY) to fabricate nano-composite colorimetric sensors. The combination mechanisms for nanoparticles and the information extracted from nano-colorimetric sensors by digital images were analyzed in the current work. Furthermore, linear discriminant analysis (LDA) and k-nearest neighbor (KNN) were used comparatively to analyze the data from images, and toxigenic Aspergillus flavus infected wheat samples could be 100.00% correctly identified when using the optimal KNN model. This research contributes to the practical analysis of VOCs and the detection of toxigenic Aspergillus flavus infected wheat" |
| Keywords: | *Aspergillus flavus Triticum *Volatile Organic Compounds/analysis Colorimetry Technology Multivariate analysis Nano-composite colorimetric sensing Toxigenic Aspergillus flavus Volatile organic compounds; |
| Notes: | "MedlineLin, Hao Wang, Fuyun Lin, Jinjin Yang, Wenjing Kang, Wencui Jiang, Hao Adade, Selorm Yao-Say Solomon Cai, Jianrong Xue, Zhaoli Chen, Quansheng eng England 2022/11/14 Food Chem. 2023 Mar 30; 405(Pt A):134803. doi: 10.1016/j.foodchem.2022.134803. Epub 2022 Nov 1" |
