基于智能手机定量测定蛋白质的方法研究 |
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基金项目:湖南环境生物职业技术学院青年基金项目(ZK2017-05);湖南省科技重大专项(2017SK1020) |
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中文摘要:利用智能手机完成了蛋白质浓度的检测,确定了用于图像比色的参数,方法适用于有颜色反应的分析物浓度检测。利用该法检测的相关系数大于0.99,检出限为0.21 g/L。考察了不同品牌手机的检测效果,结果表明,检测效果与手机硬件的配置无明显关联。考察了该方法的重复性,对单个样本检测时,3种质量浓度样本的相对标准偏差(RSD)分别为2.0%、4.6%、11.9%;对4个样本进行同时检测,RSD分别为2.2%、3.8%、3.5%、11.5%。考察了亮度、色温、拍摄距离的影响,结果显示,亮度与色温对检测结果无影响,而拍摄距离有影响。手机APP与分光光度计对样本检测结果的相关系数(r2)为0.969。该方法准确、重复性高、便携、操作方便,可实现多种分析物实时现场的快速检测。 |
中文关键词:图像比色法 智能手机 定量检测 蛋白质 |
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Research on Quantitative Detection of Protein Using Smart Phone |
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Abstract:A method was developed for the detection of protein concentration with a smart phone confirming the parameter for image colorimetry,which was used to determine the concentration of reactants in different colors.The linear correlation coefficient of the proposed method was higher than 0.99,and the limit of detection(LOD) was 0.21 g/L.The detection performances of different brands of smart phones were investigated.Results demonstrated that the detection performances were basically independent from hardware configuration of smart phones.The repeatability of this method was also investigated.On detection of a single sample,the relative standard deviations (RSDs) for three concentrations of the sample were 2.0%,4.6% and 11.9%,respectively.Four samples were determined simultaneously,and the RSDs were 2.2%,3.8%,3.5% and 11.5%,respectively.The influences of brightness,color temperature and shooting distance were discussed.Results showed that brightness and color temperature were insignificant to detection,while the shooting distance could influence the detection results.The APP of smart phone was applied in the sample detection.The correlation coefficient(r2) between detection results of smart phones and spectrophotometer was 0.969.With the characteristics of high accuracy,high repeatability,portability and easy operation,the method could realize the fast detection on various products. |
Key Words:image colorimetry smart phone quantitative detection protein |
引用本文:戴斌,彭琳,罗继全,李宗祥,王玲,焦荣华,杨赛男.基于智能手机定量测定蛋白质的方法研究[J].分析测试学报,2018,37(12):1463-1468. |
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