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一种基于智能手机的便携式传感系统,使用 3D 打印芯片进行现场生化分析。

A Portable Smartphone-Based Sensing System Using a 3D-Printed Chip for On-Site Biochemical Assays.

机构信息

Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.

出版信息

Sensors (Basel). 2018 Nov 16;18(11):4002. doi: 10.3390/s18114002.

Abstract

Recently, smartphone-based chromogenic sensing with paper-based microfluidic technology has played an increasingly important role in biochemical assays. However, generally there were three defects: (i) the paper-based chips still required complicated fabrication, and the hydrophobic boundaries on the chips were not clear enough; (ii) the chromogenic signals could not be steadily captured; (iii) the smartphone apps were restricted to the detection of specific target analytes and could not be extended for different assays unless reprogrammed. To solve these problems, in this study, a portable smartphone-based sensing system with a 3D-printed chip was developed. A 3D-printed imaging platform was designed to significantly reduce sensing errors generated during signal capture, and a brand-new strategy for signal processing in downloadable apps was established. As a proof-of-concept, the system was applied for detection of organophosphorus pesticides and multi-assay of fruit juice, showing excellent sensing performance. For different target analytes, the most efficient color channel could be selected for signal analysis, and the calibration equation could be directly set in user interface rather than programming environment, thus the developed system could be flexibly extended for other biochemical assays. Consequently, this study provides a novel methodology for smartphone-based biochemical sensing.

摘要

近年来,基于智能手机的比色传感技术与纸基微流控技术在生化分析中发挥了越来越重要的作用。然而,一般来说存在三个缺陷:(i)纸基芯片仍然需要复杂的制造工艺,并且芯片上的疏水边界不够清晰;(ii)比色信号不能稳定地捕获;(iii)智能手机应用程序仅限于特定目标分析物的检测,除非重新编程,否则不能扩展用于不同的分析。为了解决这些问题,本研究开发了一种具有 3D 打印芯片的便携式智能手机传感系统。设计了一个 3D 打印成像平台,以显著减少信号捕获过程中产生的感应误差,并建立了用于可下载应用程序中信号处理的全新策略。作为概念验证,该系统用于检测有机磷农药和果汁的多分析物检测,显示出优异的传感性能。对于不同的目标分析物,可以选择最有效的颜色通道进行信号分析,并且可以在用户界面而不是编程环境中直接设置校准方程,从而可以灵活地将开发的系统扩展到其他生化分析中。因此,本研究为基于智能手机的生化传感提供了一种新方法。

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