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利用智能手机应用程序对用于诊断的真实条形码检测进行直接读取。

Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps.

作者信息

Wong Jessica X H, Li Xiaochun, Liu Frank S F, Yu Hua-Zhong

机构信息

Department of Chemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada.

Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education), College of Physics and Optoelectronic Engineering, Taiyuan University of Technology, Shanxi 030024, P.R. China.

出版信息

Sci Rep. 2015 Jun 30;5:11727. doi: 10.1038/srep11727.

Abstract

The desire to develop new point-of-care (POC) diagnostic tools has led to the adaptation of smartphones to tackle limitations in state-of-the-art instrumentation and centralized laboratory facilities. Today's smartphones possess the computer-like ability to image and process data using mobile apps; barcode scanners are one such type of apps. We demonstrate herein that a diagnostic assay can be performed by patterning immunoassay strips in a bona fide barcode format such that after target binding and signal enhancement, the linear barcode can be read directly with a standard smartphone app. Quantitative analysis can then be performed based on the grayscale intensities with a customized mobile app. This novel diagnostic concept has been validated for a real-world application, i.e., the detection of human chorionic gonadotropin, a pregnancy hormone. With the possibility of multiplex detection, the barcode assay protocol promises to boost POC diagnosis research by the direct adaptation of mobile devices and apps.

摘要

开发新型即时检测(POC)诊断工具的需求促使人们对智能手机进行改造,以克服现有先进仪器和集中式实验室设施的局限性。如今的智能手机具备类似计算机的能力,可通过移动应用程序对数据进行成像和处理;条形码扫描仪就是这类应用程序之一。我们在此证明,诊断分析可以通过以真正的条形码格式对免疫分析试纸进行图案化来完成,这样在目标物结合和信号增强后,线性条形码可以直接用标准智能手机应用程序读取。然后可以使用定制的移动应用程序基于灰度强度进行定量分析。这种新颖的诊断概念已在实际应用中得到验证,即检测人绒毛膜促性腺激素(一种妊娠激素)。由于具有多重检测的可能性,条形码检测方案有望通过直接适配移动设备和应用程序来推动即时检测诊断研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86e4/4485167/5e6a1d00975e/srep11727-f1.jpg

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