Highly efficient detection of deoxynivalenol and zearalenone in the aqueous environment based on nanoenzyme-mediated lateral flow immunoassay combined with smartphone

玉米赤霉烯酮 色谱法 检出限 免疫分析 化学 水溶液 真菌毒素 放射性检测 计算机科学 食品科学 生物 物理化学 人工智能 抗体 免疫学
作者
Weibin Li,Zedong Wang,Xinwei Wang,Cui Li,Weixin Huang,Zhaoyong Zhu,Zhenjiang Liu
出处
期刊:Journal of environmental chemical engineering [Elsevier]
卷期号:11 (5): 110494-110494 被引量:1
标识
DOI:10.1016/j.jece.2023.110494
摘要

Deoxynivalenol (DON) and zearalenone (ZEN) pose a serious threat to human health, and have been frequently detected in the aqueous environment. To protect consumers from the harm of mycotoxins, a nanozyme-mediated multiplexed lateral flow immunoassay (LFIA) integrated with a smartphone was developed for rapid, highly sensitive and simultaneous quantitative detection of DON and ZEN in the aqueous environment. Highly efficient peroxidase mimicking core-shell Au@Pt nanozymes were synthesized by one-pot method, and then used as signal amplification to highly improve sensitivity of the detection, while a smartphone-based quantitative detection device could rapidly quantify results to improve the detection efficiency of the LIFA for on-site detection. After optimization, the detection time of the assay was 10 min, and the detection limits of the LIFA for DON/ZEN were 0.24/0.04 ng/mL, which were improved 416 and 150 folds compared to the conventional gold nanoparticles (GNPs)-based LFIA. Moreover, there was no obvious cross-reaction with other related mycotoxins, indicating that LFIA had a high specificity. The average recoveries of DON and ZEN from corn, wheat and three water samples were obtained from 94.3 % to 107.9 % with relative standard deviations of 0.2–7.6 %. Furthermore, the accuracy and reliability of the LIFA were evaluated with three spiked water samples, and the results presented good correlations with analytic results from the enzyme-linked immunosorbent assay (R2 =0.988 for DON, and 0.983 for ZEN). The results indicate the proposed LIFA was potentially a rapid, on-site simultaneous and highly sensitive method for DON and ZEN detection in the aqueous environment.
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