Magnetoresistive biosensors with on-chip pulsed excitation and magnetic correlated double sampling
- 주제(기타) Multidisciplinary Sciences
- 설명문(일반) [Kim, Kyunglok; Yao, Chengyang; Guo, Yue; Wang, Shan X.] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA; [Hall, Drew A.] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA; [Lee, Jung-Rok] Ewha Womans Univ, Div Mech & Biomed Engn, Seoul, South Korea; [Ooi, Chin C.] Stanford Univ, Dept Chem Engn, Stanford, CA 94305 USA; [Bechstein, Daniel J. B.] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA; [Wang, Shan X.] Stanford Univ, Dept Mat Sci & Engn, Stanford, CA 94305 USA
- 관리정보기술 faculty
- 등재 SCIE, SCOPUS
- 발행기관 NATURE PUBLISHING GROUP
- 발행년도 2018
- URI http://www.dcollection.net/handler/ewha/000000156910
- 본문언어 영어
- Published As http://dx.doi.org/10.1038/s41598-018-34720-0
초록/요약
Giant magnetoresistive (GMR) sensors have been shown to be among the most sensitive biosensors reported. While high-density and scalable sensor arrays are desirable for achieving multiplex detection, scalability remains challenging because of long data acquisition time using conventional readout methods. In this paper, we present a scalable magnetoresistive biosensor array with an on-chip magnetic field generator and a high-speed data acquisition method. The on-chip field generators enable magnetic correlated double sampling (MCDS) and global chopper stabilization to suppress 1/f noise and offset. A measurement with the proposed system takes only 20 ms, approximately 50x faster than conventional frequency domain analysis. A corresponding time domain temperature correction technique is also presented and shown to be able to remove temperature dependence from the measured signal without extra measurements or reference sensors. Measurements demonstrate detection of magnetic nanoparticles (MNPs) at a signal level as low as 6.92 ppm. The small form factor enables the proposed platform to be portable as well as having high sensitivity and rapid readout, desirable features for next generation diagnostic systems, especially in point-of-care (POC) settings.
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