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基于智能手机的即时检测:最新进展(2017-2018 年)。

Point-of-care testing based on smartphone: The current state-of-the-art (2017-2018).

机构信息

School of Information Engineering, Minzu University of China, Beijing 100081, China.

School of Information Engineering, Minzu University of China, Beijing 100081, China.

出版信息

Biosens Bioelectron. 2019 May 1;132:17-37. doi: 10.1016/j.bios.2019.01.068. Epub 2019 Feb 19.

Abstract

Smartphone-based point-of-care testing (POCT) is rapidly emerging as a potential alternative to the traditional laboratory-based diagnostic testing owing to economic considerations and availability of medical equipment especially in resource-limited areas. A smartphone, combined with a biosensor and other related accessories, can offer high accuracy and sensitivity for medical testing. Moreover, the ubiquity of smartphone has propelled the development considerably, and accordingly research in recent years has shown promising progress in POCT. Here, we used samples (blood, urine, sweat, saliva and tears) of liquid biopsy as the standard for classification of smartphone-based POCT devices, considering that these samples contain multiple biomarkers of serious diseases. The colorimetric, fluorescent, brightfield, and electrochemical methods were utilized to examine these samples. We performed a comprehensive review of the development of smartphone-based POCT devices over the past two years (2017-2018) and assessed their relative merits and drawbacks. Based on the progress of POCT development, it illustrates that the various technological and economical requirements are urgent and tremendous. The tendency of high-quality, low-cost smartphone-based POCT devices, feature of biosensors (paper-based sensor, flexible device, microfluidic chip, et al.) currently widely used in POCT and recommendations of future works were summarized.

摘要

基于智能手机的即时检测(POCT)由于经济考虑因素和医疗设备的可用性(特别是在资源有限的地区),正迅速成为传统实验室诊断检测的潜在替代方法。智能手机与生物传感器和其他相关配件相结合,可以为医疗检测提供高精度和高灵敏度。此外,智能手机的普及极大地推动了这一领域的发展,因此近年来的研究在 POCT 方面取得了有前景的进展。在这里,我们使用液体活检的样本(血液、尿液、汗液、唾液和眼泪)作为基于智能手机的 POCT 设备分类的标准,因为这些样本包含多种严重疾病的生物标志物。我们利用比色法、荧光法、明场法和电化学方法来检测这些样本。我们对过去两年(2017-2018 年)基于智能手机的 POCT 设备的发展进行了全面综述,并评估了它们的相对优缺点。基于 POCT 发展的进展,说明了各种技术和经济需求是紧迫和巨大的。总结了高质量、低成本的基于智能手机的 POCT 设备的趋势、生物传感器(纸质传感器、柔性器件、微流控芯片等)的特点以及未来工作的建议。

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