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基于智能手机和血糖仪的便携式双模生物传感器,用于现场灵敏检测单核细胞增生李斯特菌。

Portable dual-mode biosensor based on smartphone and glucometer for on-site sensitive detection of Listeria monocytogenes.

机构信息

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.

出版信息

Sci Total Environ. 2023 May 20;874:162450. doi: 10.1016/j.scitotenv.2023.162450. Epub 2023 Feb 28.

DOI:10.1016/j.scitotenv.2023.162450
PMID:36863591
Abstract

Contamination of Listeria monocytogenes (L. monocytogenes) in the environment and food can pose a serious threat to human health, and there is an urgent need to establish sensitive on-situ detection methods to mitigate its hazards. In this study, we have developed a field assay that combines magnetic separation technology with antibody-labeled ZIF-8 encapsulating glucose oxidase (GOD@ZIF-8@Ab) to capture and specifically identify L. monocytogenes while GOD catalyzes glucose catabolism to produce signal changes in glucometers. On the other side, horseradish peroxidase (HRP) and 3,3',5,5'-tetramethylbenzidine (TMB) were added to recombined with the HO generated by the catalyst to form a colorimetric reaction system that changes from colorless to blue. The smartphone software was used for RGB analysis to complete the on-site colorimetric detection of L. monocytogenes. This dual-mode biosensor showed good detection performance for the on-site application of L. monocytogenes in lake water and juice samples, both with a limit of detection up to 10 CFU/mL and a good linear range of 10-10 CFU/mL. Therefore, this dual-mode on-site detection biosensor has a promising application for the early screening of L. monocytogenes in environmental and food samples.

摘要

李斯特菌(Listeria monocytogenes)在环境和食物中的污染可能对人类健康构成严重威胁,因此迫切需要建立敏感的现场检测方法来减轻其危害。在本研究中,我们开发了一种现场检测方法,该方法结合了磁分离技术和抗体标记的 ZIF-8 封装葡萄糖氧化酶(GOD@ZIF-8@Ab),可捕获并特异性识别李斯特菌,同时 GOD 催化葡萄糖分解代谢,在血糖仪中产生信号变化。另一方面,辣根过氧化物酶(HRP)和 3,3',5,5'-四甲基联苯胺(TMB)被添加到与催化剂产生的 HO 重新组合,形成从无色变为蓝色的比色反应体系。智能手机软件用于 RGB 分析,以完成现场李斯特菌的比色检测。这种双模式生物传感器对湖水和果汁样品中李斯特菌的现场应用具有良好的检测性能,检测限均达到 10 CFU/mL,线性范围为 10-10 CFU/mL。因此,这种双模式现场检测生物传感器有望用于环境和食品样品中李斯特菌的早期筛选。

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