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利用智能手机辅助 μPADs 进行唾液尿酸的灵敏点检测的数字量化方法。

Digital Quantification Method for Sensitive Point-of-Care Detection of Salivary Uric Acid Using Smartphone-Assisted μPADs.

机构信息

School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.

Department of Neurosurgery, The Longgang Central Hospital of Shenzhen, Shenzhen 518116, China.

出版信息

ACS Sens. 2022 Jul 22;7(7):2049-2057. doi: 10.1021/acssensors.2c00854. Epub 2022 Jul 12.

DOI:10.1021/acssensors.2c00854
PMID:35820152
Abstract

Uric acid (UA) is an important biomarker for many diseases. A sensitive point-of-care (POC) testing platform is designed for the digital quantification of salivary UA based on a colorimetric reaction on an easy-to-build smartphone-assisted microfluidic paper-based analytical device (SμPAD). UA levels are quantified according to the color intensity of Prussian blue on the SμPAD with the aid of a MATLAB code or a smartphone APP. A color correction method is specifically applied to exclude the light effect. Together with the engineering design of SμPADs, the background calibration function with the APP increases the UA sensitivity by 100-fold to reach 0.1 ppm with a linear range of 0.1-200 ppm. The assay time is less than 10 min. SμPADs demonstrate a correlation of 0.97 with a commercial UA kit for the detection of salivary UA in clinical samples. SμPADs provide a sensitive, fast, affordable, and reliable tool for the noninvasive POC quantification of salivary UA for early diagnosis of abnormal UA level-associated health conditions.

摘要

尿酸 (UA) 是许多疾病的重要生物标志物。本研究设计了一种基于智能手机辅助微流控纸基分析装置 (SμPAD) 上比色反应的灵敏即时检测 (POC) 检测平台,用于唾液 UA 的数字化定量。UA 水平根据 SμPAD 上普鲁士蓝的颜色强度,借助 MATLAB 代码或智能手机应用程序进行定量。特别应用了一种颜色校正方法来排除光效应。结合 SμPAD 的工程设计,APP 中的背景校准功能将 UA 灵敏度提高了 100 倍,可达到 0.1ppm 的线性范围为 0.1-200ppm。检测时间不到 10 分钟。SμPAD 与商用 UA 试剂盒在检测临床样本中的唾液 UA 时具有 0.97 的相关性。SμPAD 为非侵入性 POC 定量唾液 UA 提供了一种灵敏、快速、经济和可靠的工具,用于早期诊断与 UA 水平异常相关的健康状况。

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