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

机译:基于便携式智能手机的传感系统,用于现场生化测定的3D印刷芯片

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摘要

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.
机译:最近,基于纸的微流体技术的智能手机的发色性感应在生化测定中发挥了越来越重要的作用。然而,一般来说有三种缺陷:(i)纸芯片仍然需要复杂的制作,芯片上的疏水边界尚不清楚; (ii)发电信号不能稳定地捕获; (iii)智能手机应用仅限于检测特定目标分析物,除非重编程,否则无法延长不同的测定。为了解决这些问题,在本研究中,开发了一种具有3D印刷芯片的基于便携式智能手机的传感系统。旨在显着降低信号捕获期间产生的传感错误的3D打印的成像平台,并建立了可下载应用中的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测定,显示出优异的感测性能。对于不同的目标分析物,可以选择最有效的颜色通道用于信号分析,并且可以直接在用户界面而不是编程环境中直接设置校准方程,因此可以灵活地扩展到其他生物化学测定。因此,本研究为智能手机的生化感测提供了一种新颖的方法。

著录项

  • 作者

    Feiyi Wu; Min Wang;

  • 作者单位
  • 年度 2018
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-20 22:21:43

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