Highly efficient detection of deoxynivalenol and zearalenone in the aqueous environment based on nanoenzyme-mediated lateral flow immunoassay combined with smartphone
文献类型: 外文期刊
作者: Li, Weibin 1 ; Wang, Zedong 1 ; Wang, Xinwei 1 ; Cui, Li 2 ; Huang, Wenyuan 3 ; Zhu, Zhaoyong 4 ; Liu, Zhenjiang 1 ;
作者机构: 1.Jiangsu Univ, Inst Environm & Ecol, Sch Environm & Safety Engn, Zhenjiang 212013, Peoples R China
2.Chinese Acad Agr Sci, State Key Lab Biol Plant Dis & Insect Pests, Inst Plant Protect, Beijing 100193, Peoples R China
3.Guizhou Acad Agr Sci, Inst Plant Protect, Guiyang 550006, Peoples R China
4.Zhenjiang D&A Biol Technol Co Ltd, Zhenjiang 212009, Peoples R China
关键词: Lateral flow immunoassay; Deoxynivalenol and zearalenone; Nanozyme; Smartphone; Aqueous environment
期刊名称:JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING ( 2022影响因子:7.7; 五年影响因子:7.3 )
ISSN: 2213-2929
年卷期: 2023 年 11 卷 5 期
收录情况: SCI
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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