机构地区:[1]上海交通大学电子信息与电气工程学院,上海200240 [2]上海交通大学学生创新中心,上海200240
出 处:《色谱》2023年第9期752-759,共8页Chinese Journal of Chromatography
基 金:国家自然科学基金项目(22104082,31727801).
摘 要:现有的电泳滴定(electrophoresis titration,ET)技术仍采用计算机进行数据处理和分析,其定量检测的即时性和便携性仍存在明显不足。针对这一问题,本文发展了一种基于智能手机的ET系统,实现了ET的即时性定量分析。该系统集成了三通道电泳滴定芯片与蓝牙通信功能,并设计了手机软件。通过该软件,不仅可以控制ET装置的电泳运行,还可以调用手机摄像头获取有色电泳界面,即时识别反应界面并显示定量检测结果。ET装置尺寸为10 cm×15 cm×2.5 cm,重300 g,可轻松手持,适用于现场检测。本文以人源血清总蛋白和尿酸(UA)为研究目标,分别使用基于聚丙烯酰胺凝胶的蛋白电泳酸碱滴定与基于琼脂糖凝胶的尿酸酶催化电泳滴定进行检测分析。用人血清白蛋白(HSA)标准品与尿酸标准品验证装置的性能,结果表明:HSA和UA的拟合优度(决定系数)分别为0.9959和0.9935,线性(或对数线性)范围分别为0.5~35.0 g/L和100~4000μmol/L,检出限分别为0.05 g/L和50μmol/L,相对标准偏差最大值分别为2.87%和3.21%,表明该系统具有较好的检测准确性和稳定性。选取了5位志愿者的血清样本,针对人源实际血样中的血清总蛋白含量和尿酸含量进行检测,并与医院临床检测所使用方法的检测结果进行对比,检测相对误差分别≤6.03%和6.21%,证明本文提出的检测系统是一种具有综合性检测潜力的通用平台,具有临床应用价值与现场检测潜力。Electrophoresis titration(ET)based on the moving reaction boundary(MRB)theory can detect the analyte contents in different samples by converting content signals into distance signals.However,this technique is only suitable for on-site qualitative testing,and accurate quantification relies on complex optical equipment and computers.Hence,applying this method to real-time point-of-care testing(POCT)is challenging.In this study,we developed a smartphone-based ET system based on a visual technique to achieve real-time quantitative detection.First,we developed a portable quantitative ET device that can connect to a smartphone;this device consisted of five components,namely,an ET chip,a power module,a microcontroller,a liquid crystal display screen,and a Bluetooth module.The device measured 10 cm×15 cm×2.5 cm,weighed 300 g,and was easy to hold.Thus,it is suitable for on-site testing with a run time of only 2-4 min.An assistant mobile software program was also developed to control the device and perform ET.The colored electrophoresis boundary can be captured using the smartphone camera,and quantitative detection results can be obtained in real time.Second,we proposed a quantitative algorithm based on ET channels.The software was used to recognize the boundary migration distance of three channels,a standard curve based on two given contents of the standards was established using the two-point method,and the content of the test sample was calculated.Human serum albumin(HSA)and uric acid(UA)were used as a model protein and biosample,respectively,to test the performance of the detection system.For HSA detection,different HSA solutions were mixed with a polyacrylamide gel(PAG)stock solution,phenolphthalein was added as an indicator,and sodium persulfate and tetramethyl ethylenediamine(TEMED)were used to promote polymerization to form a gel.For UA detection,agarose gel was filled into the ET channel,the UA sample,urate oxidase,and leucomalachite green were added into the anode cell and incubated for 20 min.ET was then perfo
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