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Telemedicine for insulin detection based on microfluidic system
Yao P(姚萍); Liu B(刘斌); Dong ZL(董再励); Tong ZH(童兆宏)
Department机器人学研究室
Conference Name2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012
Conference DateMay 27-31, 2012
Conference PlaceBangkok, Thailand
Source PublicationProceedings - 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2012
Pages139-143
Indexed ByEI
EI Accession number20133216582446
Contribution Rank1
ISBN978-1-4673-1421-3
KeywordMicrofluidic System Insulin Detection Telemedicine Chemiluminescence Immunoassay
AbstractThis paper reports a microfluidic-based tele medicine system for the determination of insulin, an important indicator for clinical diagnosis of diabetes. The telemedicine system conveys the ass ay res ults digitally to es tablis hed healthcare facilities, where trained medical professionals can directly assist the detection process and provide diagnosis through the Internet. The integrated polydimethysiloxane (PDMS) microfluidic system consis ts of one pneumatic micropump and one micromixer on a single chip for insulin detection. The detection protocol is based on magnetic microbeads based double-antibody sandwich chemiluminescent immunoassay. The peak value of the luminous intensity is proportional to the insulin concentration of the testing sample. The sensitivity curves of the microfluidic system have been quantified, and the insulin detection limit is determined to be about 10-11 M. The combination of PDMS microfluidic devices and a communication strategy offers new opportunities for diabetes care and screening, especially in rural areas, and the proposed system can be an extremely useful Point-of-Care diagnostic tool with off-site expert assistance.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13931
Collection机器人学研究室
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
2.Graduate School Chinese Academy of Sciences, Beijing, China
3.Department of Mechanical Engineering, University of Arkansas, Fayetteville, United States
Recommended Citation
GB/T 7714
Yao P,Liu B,Dong ZL,et al. Telemedicine for insulin detection based on microfluidic system[C]. Washington, DC:IEEE Computer Society,2012:139-143.
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