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电化学发光布基生物传感器与基于智能手机的成像技术用于唾液中乳酸的检测。

An electrochemiluminescence cloth-based biosensor with smartphone-based imaging for detection of lactate in saliva.

机构信息

MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, China.

出版信息

Analyst. 2017 Oct 7;142(19):3715-3724. doi: 10.1039/c7an01008g. Epub 2017 Sep 5.

Abstract

Cloth fabrics and smartphones have become the two things people are most familiar with. Particularly, smartphones are used as portable personal computers, revolutionizing communication and lifestyle. Here, screen-printing technology is applied to fabricate carbon electrodes and electrochemical chambers on a single hydrophilic cloth, while the cloth-based electrochemiluminescence (ECL) signals are read out by using an inexpensive smartphone. Therefore, the ECL detection is available in both low-cost disposable sensors and a portable format, which may be very suitable to be used as a non-invasive monitoring tool for medical diagnostics. As a proof-of-principle, lactate oxidase is immobilized onto the working electrode for the lactate measurement. Under optimized conditions, the lactate levels can be quantified over the range of 0.05-2.5 mM, with a detection limit of 0.035 mM and the relative standard deviations of 4.7%, 5.2% and 5.0% for 0.05, 0.5 and 2.5 mM lactate (n = 5). In addition, the proposed biosensor has an acceptable stability and selectivity. Finally, the ECL biosensor is successfully applied for the determination of lactate in human saliva. These results show that the presented ECL platform has the potential to be applied to non-invasively detect a variety of analytes of medical interest.

摘要

织物和智能手机已经成为人们最熟悉的两种物品。特别是,智能手机被用作便携式个人计算机,彻底改变了通信和生活方式。在这里,我们将丝网印刷技术应用于在单一亲水织物上制造碳电极和电化学室,而使用廉价的智能手机读取基于织物的电致化学发光(ECL)信号。因此,ECL 检测既可以用于低成本的一次性传感器,也可以用于便携式设备,这可能非常适合用作医疗诊断的非侵入式监测工具。作为原理验证,将乳酸氧化酶固定在工作电极上以测量乳酸。在优化条件下,可以在 0.05-2.5 mM 的范围内定量检测乳酸,检测限为 0.035 mM,对于 0.05、0.5 和 2.5 mM 乳酸,相对标准偏差分别为 4.7%、5.2%和 5.0%(n = 5)。此外,该生物传感器具有良好的稳定性和选择性。最后,成功地将 ECL 生物传感器应用于测定人唾液中的乳酸。这些结果表明,所提出的 ECL 平台具有应用于非侵入性检测各种医学相关分析物的潜力。

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