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当前位置: 首页 > 文章 > 基于磁控分离的水产致病菌微流控检测方法 农业机械学报 2015,46 (4) 277-281+308
Position: Home > Articles > Aquaculture Pathogens Detection Based on Microfluidic System with Magnetic Isolation Transactions of the Chinese Society for Agricultural Machinery 2015,46 (4) 277-281+308

基于磁控分离的水产致病菌微流控检测方法

作  者：
郭建江;张荣标;杨宁;孙健;徐佩锋
单  位：
江苏大学电气与信息工程学院
关键词：
水产致病菌;微流控芯片;磁控分离;阻抗检测
摘  要：
针对当前水产致病菌传统检测方法中存在目标菌分离难、检测时间长、自动化程度低等问题,提出了一种基于磁控分离的水产致病菌微流控检测方法。设计了具有自动进样、磁控分离以及电化学阻抗检测等一体化功能的微流控芯片,创建了检测系统实验平台,优化选择了系统阻抗检测频率、磁控力及目标菌捕获时间等参数,并以常见水产致病菌大肠杆菌O157:H7为例对检测性能指标进行了实验验证,结果表明,与精度较高的标准平板计数法相比,检测精度基本相同,但避免了人工培养,检测时间由48 h减少为50 min,具有较高的分离检测速度和检测自动化水平。
译  名：
Aquaculture Pathogens Detection Based on Microfluidic System with Magnetic Isolation
作  者：
Guo Jianjiang;Zhang Rongbiao;Yang Ning;Sun Jian;Xu Peifeng;School of Electrical and Information Engineering,Jiangsu University;School of Electronic Information and Electrical Engineering,Changzhou Institute of Technology;
关键词：
Aquaculture pathogens Microfluidic chip Magnetic isolation Impedance measurement
摘  要：
Aiming at the problem that the detection of aquaculture pathogens suffers from difficult isolation,time-consuming and low degree of automation,a detecting method of aquaculture pathogens concentration based on microfluidic system with magnetic isolation was proposed.A dedicated microfluidic chip with automatic sample injecting,magnetic isolation and impedance measurement was designed,and the experiment platform based on microfluidic detection system was built.The optimum impedance measurement frequency,magnetic force and target bacteria capture time in the microfluidic system were determined,and as an example of Escherichia coli O157: H7 the performance of the system was experimentally verified.Experiment results showed that compared with plate counting method the proposed method was nearly the same in detection accuracy,and the detection time was decreased from48 h to 50 min because of no-cultivation.The microfluidic system realized rapid isolation and detection for aquaculture pathogens with increased automation in the prevention of aquaculture disease.

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