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基于智能手机定量检测多种心肌指标物浓度的方法研究
引用本文:李伟,陈淑静,戴博,郑璐璐,刘华. 基于智能手机定量检测多种心肌指标物浓度的方法研究[J]. 分析测试学报, 2019, 38(8): 889-896
作者姓名:李伟  陈淑静  戴博  郑璐璐  刘华
作者单位:上海理工大学光电信息与计算机工程学院,光学仪器与系统教育部工程研究中心,上海200093;上海交通大学附属胸科医院心内科,上海,200030
基金项目:国家重点研发计划(2016YFD0500603);国家自然科学基金(61775140);上海市科学技术委员会(17060502500,18142200800)
摘    要:该文研制了一套心肌指标物定量检测系统,可应用于基质金属蛋白酶-9(MMP9),生长刺激表达基因2蛋白(ST2)和正五聚蛋白3(PTX3)3种心肌指标物浓度的检测。利用手机摄像头对反应溶液进行拍照,通过手机应用程序将照片传送至服务器,服务器利用自定义比色算法对图像分析处理,然后将指标物浓度结果显示在手机界面上。经分析比对,3种指标物基于图像蓝色通道的标准曲线与四参数拟合模型均有良好的一致性(r2分别为0.9997、0.9998、0.9998),与商用酶标仪绘制标准曲线趋势一致。利用该方法分别对41份血清样本进行MMP9检测,对43份血清样本进行ST2检测和对40份血清样本进行PTX3检测,并与商用酶标仪检测结果对比。结果显示,该方法测得的3种指标物浓度与商用仪器检测结果分别具有95.12%、97.67%和95.00%的高度一致性。该方法可用于即时诊断、远程监测心血管疾病患者指标物浓度。

关 键 词:心血管疾病  心肌指标物  定量检测  智能手机  比色算法

Research on Method for Quantitative Analysis of Multi Cardiac Biomarkers Based on Smartphone
LI Wei,CHEN Shu-jing,DAI Bo,ZHENG Lu-lu,LIU Hua. Research on Method for Quantitative Analysis of Multi Cardiac Biomarkers Based on Smartphone[J]. Journal of Instrumental Analysis, 2019, 38(8): 889-896
Authors:LI Wei  CHEN Shu-jing  DAI Bo  ZHENG Lu-lu  LIU Hua
Affiliation:1.School of Optical-Electrical and Computer Engineering,Engineering Research Center of Optical Instrument and System of Ministry of Education,University of Shanghai for Science and Technology;2.Department of Cardiology,Shanghai Chest Hospital,Affiliated to Shanghai Jiao Tong University
Abstract:In this paper,a quantitative detection system of cardiac biomarkers was proposed and demonstrated,which could be used in the detection of matrix metallopeptidase 9 (MMP9 ),growth stimulation expressed gene2 (ST2 ) and pentraxin3 (PTX3 ).The reaction product of cardiac biomarkers was captured with smartphone camera.The photo was sent to the server side for analysis via the smartphone app.The detection results were displayed on the smartphone screen after the captured photo was analyzed by the server side.Results showed that the calibration curves for of three cardiac biomarkers based on the blue channel agreed well with the four parameters fitted model,and their correlation coefficients ( r2 ) were 0.999 7,0.999 8 and 0.999 8 respectively.41,43 and 40 serum samples were detected with MMP9,ST2 and PTX3,respectively.The comparisons between three detection results by the proposed method with those by commercial reader showed that the overall agreements reached up to 95.12 %,97.67 % and 95.00 %,respectively.The proposed method is suitable for the point of care detection and long term monitoring of cardiac biomarkers.
Keywords:cardiovascular disease  cardiac biomarker  quantitative analysis  smartphone  colorimetric algorithm
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