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Development of a time-resolved immunochromatographic strip for rapid and quantitative determination of deoxynivalenol

文献类型： 外文期刊

作者： Wang, Jingneng 1 ; Wang, Lihua 2 ; Zhang, Hui 3 ; Mei, Xinglin 1 ; Qiu, Liangzhu 1 ; Liu, Jing 2 ; Zhou, Yongsong 1 ;

作者机构： 1.Shanghai Xiongtu Biotechnol Co Ltd, Shanghai, Peoples R China

2.Jiangsu Agrianim Husb Vocat Coll, Taizhou, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Food Safety & Nutr, Nanjing, Peoples R China

关键词： deoxynivalenol; time-resolved fluorescence immunoassay; quantitative analysis; rapid testing; food crop; animal feed

期刊名称：FRONTIERS IN VETERINARY SCIENCE （ 影响因子：3.2； 五年影响因子：3.5 ）

ISSN：

年卷期： 2023 年 10 卷

页码：

收录情况： SCI

摘要： Deoxynivalenol (DON) contamination of food crops and feeds is almost impossible to avoid completely; however, through best management practices, this risk can be effectively managed and maximumly mitigated. Accurate and rapid detection of DON contamination as early in the entire value chain as possible is critical. To achieve this goal, we developed a DON test strip based on time-resolved fluorescence immunoassay (TRFIA) and a specific DON monoclonal antibody for the rapid quantification of DON in food crops and feeds. The strip displayed a good linearity (R-2 = 0.9926), with a limit of quantification of 28.16 mu g/kg, a wide linear range of 50 similar to 10,000 mu g/kg. The intra-batch coefficient of variation (CV) and the inter-batch CV was <5.00 and 6.60%, respectively. This TRFIA-DON test strip was applied to detect DON in real samples, and the accuracy and reliability were confirmed by liquid chromatography-mass spectrometry (LC-MS/MS). Results showed that the relative standard deviation between the DON strips and LC-MS/MS was <9%. The recovery rates in corn samples ranged from 92 to 104%. The established TRFIA-DON test strip had the characteristics of high sensitivity, high accuracy, and a wide linear range which was suitable for rapid and quantitative determination of DON in food crops and feeds at both on-site and laboratory.

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