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Telemedicine Utilizing Integrated Microfluidic System for Insulin Detection
Yao P(姚萍); Liu Z(刘柱); Liu B(刘斌); Liu LQ(刘连庆); Jiao ND(焦念东); Dong ZL(董再励); Tong ZH(童兆宏)
作者部门机器人学研究室
会议名称2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
会议日期May 26-29, 2013
会议地点Nanjing, China
会议录名称Proceedings of the 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
出版者IEEE
出版地NEW YORK
2013
页码149-152
收录类别EI ; CPCI(ISTP)
EI收录号20140817353035
WOS记录号WOS:000349825000026
产权排序1
ISBN号978-1-4799-0610-9
关键词Telemedicine Insulin Microfluidic System Chemiluminescence Immunoassay
摘要This paper presents a telemedicine system utilizing an integrated microfluidic chip for fast, automatic detection of insulin. The telemedicine system expedites the insulin assay results digitally from the assay site to medical professionals located off-site, while the off-site specialist can directly provide diagnosis through the Internet. The integrated microfluidic chip contains pneumatic micropumps, a micromixer and several microvalves to automatically perform the entire protocol for insulin detection. The detection protocol is based on double-antibody sandwich chemiluminescence immunoassay. The microfluidic system carries out the detection procedures including sample/reagent transportation, incubation between the target insulin and insulin antibodies, washing processes, and the chemiluminescence development process. The chemiluminescence signal is measured and quantifies the concentration of insulin in the testing sample. Experimental data show that the developed system can automatically complete the entire protocol within 10 min with a detection limit of 260 pmol/L. This microfluidic-based telemedicine system is promising for point-of-care diabetes screening in the future.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13932
专题机器人学研究室
通讯作者Yao P(姚萍)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, United States
推荐引用方式
GB/T 7714
Yao P,Liu Z,Liu B,et al. Telemedicine Utilizing Integrated Microfluidic System for Insulin Detection[C]. NEW YORK:IEEE,2013:149-152.
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