DocumentCode
1606369
Title
A multi-channel scalable integrated detection platform based on scanning magnetic field method for commercial GMR spin-valves
Author
Wang, Zixin ; Liu, Yongfeng ; Zhang, Jiapeng ; Wang, Jun ; He, Zhenhui
Author_Institution
Sch. of Phys. & Eng., Sun Yat-sen Univ., Guangzhou, China
fYear
2011
Firstpage
431
Lastpage
435
Abstract
Giant magnetoresistance spin-valve based biosensors are becoming more prevalent for sensitive biomolecular detection. However, there is little attention to the application of the commercial spin-valve sensors in bio-detection. In this paper, we present an integrated multi-channel detection platform for commercial spin-valve sensors. For the implementation, we propose a new detection method named scanning magnetic field that takes the magnetoresistance transfer curve shift caused by the magnetic beads. The reproducibility of this new method in detection is confirmed by the single channel experiment. Lastly, to demonstrate the concentration resolution of our detection platform, we performed a concentration calibration. The result indicates that concentration resolution can be achieved when applying the scanning magnetic field method with the commercial spin-valve sensors and magnetic beads.
Keywords
biosensors; chemical sensors; giant magnetoresistance; magnetic particles; molecular biophysics; spin valves; commercial GMR spin valve based biosensors; concentration resolution; giant magnetoresistance; magnetic beads; magnetoresistance transfer curve shift; multichannel scalable integrated detection platform; scanning magnetic field method; sensitive biomolecular detection; single channel experiment; Biology; Biosensors; Calibration; Educational institutions; Electrodes; Equations; Detection platform; GMR spin valve; Magnetic biosensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering (CME), 2011 IEEE/ICME International Conference on
Conference_Location
Harbin Heilongjiang
Print_ISBN
978-1-4244-9323-4
Type
conf
DOI
10.1109/ICCME.2011.5876778
Filename
5876778
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