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基于手机摄像比色传感器阵列的定标及其在尿液中葡萄糖测定的应用。

The calibration of cellphone camera-based colorimetric sensor array and its application in the determination of glucose in urine.

机构信息

Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.

Electronic Information School, Wuhan University, Wuhan 430072, PR China.

出版信息

Biosens Bioelectron. 2015 Dec 15;74:1029-37. doi: 10.1016/j.bios.2015.07.072. Epub 2015 Jul 31.

Abstract

In this work, a novel approach that can calibrate the colors obtained with a cellphone camera was proposed for the colorimetric sensor array. The variations of ambient light conditions, imaging positions and even cellphone brands could all be compensated via taking the black and white backgrounds of the sensor array as references, thereby yielding accurate measurements. The proposed calibration approach was successfully applied to the detection of glucose in urine by a colorimetric sensor array. Snapshots of the glucose sensor array by a cellphone camera were calibrated by the proposed compensation method and the urine samples at different glucose concentrations were well discriminated with no confusion after a hierarchical clustering analysis.

摘要

在这项工作中,提出了一种新的方法,可以对基于比色传感器阵列的手机摄像色彩进行校准。环境光照条件、成像位置甚至手机品牌的变化都可以通过将传感器阵列的黑白背景作为参考来进行补偿,从而实现准确的测量。所提出的校准方法成功地应用于基于比色传感器阵列的尿液中葡萄糖的检测。通过所提出的补偿方法对手机摄像头拍摄的葡萄糖传感器阵列的快照进行校准,并且经过层次聚类分析,对不同葡萄糖浓度的尿液样本进行了很好的区分,没有混淆。

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