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基于金纳米粒子的多重免疫层析传感器快速同时检测五种霉菌毒素及其类似物。

Rapid and simultaneous detection of five mycotoxins and their analogs with a gold nanoparticle-based multiplex immuno-strip sensor.

机构信息

State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu, 214122, China; International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China.

Jiangsu Product Quality Testing and Inspection Institute, Nanjing, Jiangsu, 210025, China.

出版信息

Food Microbiol. 2024 Aug;121:104510. doi: 10.1016/j.fm.2024.104510. Epub 2024 Feb 27.

DOI:10.1016/j.fm.2024.104510
PMID:38637074
Abstract

Mycotoxins, as secondary metabolites produced by fungi, have been the focus of researchers in various countries and are considered to be one of the major risk factors in agricultural products. There is an urgent need for a rapid, simple and high-performance method to detect residues of harmful mycotoxins in agricultural foods. We have developed a gold nanoparticle-based multiplexed immunochromatographic strip biosensor that can simultaneously detect fifteen mycotoxins in cereal samples. With this optimized procedure, five representative mycotoxins, deoxynivalenol (DON), zearalenone (ZEN), T-2 toxin (T-2), tenuazonic acid (TEA) and alternariol (AOH) were detected in the range of 0.91-4.77, 0.04-0.56, 0.11-0.68, 0.12-1.02 and 0.09-0.75 ng/mL, respectively. The accuracy and stability of these measurements were demonstrated by analysis of spiked samples with recoveries of 91.8%-115.3% and coefficients of variation <8.7%. In addition, commercially available samples of real cereals were tested using the strips and showed good agreement with the results verified by LC-MS/MS. Therefore, Our assembled ICA strips can be used for the simultaneous detection of 5 mycotoxins and their analogs (15 mycotoxins in total) in grain samples, and the results were consistent between different types of cereal foods, this multiplexed immunochromatographic strip biosensor can be used as an effective tool for the primary screening of mycotoxin residues in agricultural products.

摘要

真菌产生的次生代谢物真菌毒素一直是各国研究人员关注的焦点,被认为是农产品的主要风险因素之一。因此,迫切需要一种快速、简单、高性能的方法来检测农产品中有害真菌毒素的残留。我们开发了一种基于金纳米粒子的多重免疫层析条生物传感器,可同时检测谷物样品中的十五种真菌毒素。通过优化该程序,我们可以在 0.91-4.77ng/mL、0.04-0.56ng/mL、0.11-0.68ng/mL、0.12-1.02ng/mL 和 0.09-0.75ng/mL 的范围内检测到五种代表性的真菌毒素,脱氧雪腐镰刀菌烯醇(DON)、玉米赤霉烯酮(ZEN)、T-2 毒素(T-2)、 tenuazonic 酸(TEA)和 alternariol(AOH)。通过对添加有回收率为 91.8%-115.3%和变异系数<8.7%的样品进行分析,证明了这些测量的准确性和稳定性。此外,我们还使用这些条带对市售的实际谷物样品进行了测试,结果与通过 LC-MS/MS 验证的结果吻合良好。因此,我们组装的 ICA 条可以用于谷物样品中 5 种真菌毒素及其类似物(共 15 种真菌毒素)的同时检测,并且不同类型的谷物食品之间的结果一致,这种多重免疫层析条生物传感器可以作为农产品中真菌毒素残留的初步筛选的有效工具。

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