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基于表面增强拉曼散射的免疫层析分析法,使用新型WS-Au纳米标签灵敏检测O157:H7

SERS-Based Immunochromatographic Assay for Sensitive Detection of O157:H7 Using a Novel WS-Au Nanotag.

作者信息

Wang Deying, Chen Yan, Zhang Qi, Chen Junfei, Li Changhao, Luo Yunjing, Jin Yong, Qi Xiaohua

机构信息

College of Chemistry and Life Sciences, Beijing University of Technology, No. 100 Pingleyuan, Beijing 100124, China.

Chinese Academy of Inspection and Quarantine, No. A3, Gaobeidian Road, Beijing 100123, China.

出版信息

Sensors (Basel). 2025 Apr 14;25(8):2457. doi: 10.3390/s25082457.

Abstract

O157:H7 contamination in food and the environment poses a serious threat to human health. Rapid and sensitive identification of foodborne pathogens remains challenging. Here, we prepared tungsten disulfide (WS)-Au nanocomposites coupled with the Raman signal molecule 5,5'-dithio-bis-(2-nitrobenzoic acid) (DTNB) and antibodies to replace the conventional colloidal gold nanoparticles and applied SERS-active nanotags in the SERS-ICA method for highly sensitive detection of O157:H7. The large surface area and numerous effective SERS hotspots of WS-Au nanotags provide superior SERS signals. Under optimized conditions, this ICA achieves the quantitative detection of O157:H7 in a broad linear range of 8 × 10-8 × 10 CFU/mL and at a low detection limit of 175 CFU/mL. In addition, the test strip indicates high specificity for O157:H7 identification, favorable reproducibility, and shows good accuracy in the detection of actual food samples, such as milk and pork. The proposed assay can be used for rapid qualitative and quantitative detection of O157:H7 and has great potential for field application.

摘要

食品和环境中的O157:H7污染对人类健康构成严重威胁。快速、灵敏地鉴定食源性病原体仍然具有挑战性。在此,我们制备了与拉曼信号分子5,5'-二硫代双-(2-硝基苯甲酸)(DTNB)和抗体偶联的二硫化钨(WS)-金纳米复合材料,以取代传统的胶体金纳米颗粒,并将具有表面增强拉曼散射(SERS)活性的纳米标签应用于SERS免疫层析分析(ICA)方法中,用于高灵敏检测O157:H7。WS-金纳米标签的大表面积和众多有效的SERS热点提供了优异的SERS信号。在优化条件下,该免疫层析分析在8×10 - 8×10 CFU/mL的宽线性范围内实现了对O157:H7的定量检测,检测限低至175 CFU/mL。此外,该试纸条对O157:H7鉴定具有高特异性、良好的重现性,并且在检测实际食品样品(如牛奶和猪肉)时显示出良好的准确性。所提出的分析方法可用于O157:H7的快速定性和定量检测,具有很大的现场应用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1756/12031149/42b569dbe52d/sensors-25-02457-g001.jpg

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