The simulation of a high sensitivity GMR (giant magnetoresistance) biosensor for magnetic nanoparticle detection

Hao Sun; Mengqi Zhang; Xinrong Li; Xuecheng Sun

doi:10.1117/12.3015003

4 March 2024 The simulation of a high sensitivity GMR (giant magnetoresistance) biosensor for magnetic nanoparticle detection

Hao Sun, Mengqi Zhang, Xinrong Li, Xuecheng Sun

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298110 (2024) https://doi.org/10.1117/12.3015003
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Due to GMR biosensor has the advantages of miniaturization, low-power consumption and rapid detection, so it has a widely application in bacterial, viral and cancer biomarker detection. However, the current GMR biosensor has relatively low detection sensitivity in biotarget detection, that limiting the development in biomedical detection applications rapidly. As we know, the magnetic flux concentrator (MFC) can improve detection sensitivity and resolution of the GMR sensor. So, a new micro-funnel-shaped MFC is proposed for GMR biosensor and analyzed by finite element method (FEM). The MFC shape, size and distribution of magnetic labels were investigated. The simulation results indicate that the signal gain can be increased by 30% with the hypotenuse of MFC. The distribution of magnetic labels was arranged horizontally along the X-axis can generate high magnetic field intensity and the strongest magnetic gain. The simulation results has certain theoretical guidance for high sensitivity GMR biosensors design.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hao Sun, Mengqi Zhang, Xinrong Li, and Xuecheng Sun "The simulation of a high sensitivity GMR (giant magnetoresistance) biosensor for magnetic nanoparticle detection", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298110 (4 March 2024); https://doi.org/10.1117/12.3015003

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