Structures of Giant Magnetoresistance Sensors for Magnetic Bead Detection

This study explores the fabrication of giant magnetoresistance (GMR) sensors through the microelectromechanical systems (MEMS) process. Moreover, it investigates the magnetic properties of these sensors across various structural parameters. In particular, the study evaluates the effects of variations in four specific parameters of a GMR sensor on magnetic bead signals, aiming to achieve high sensitivity of the sensor and a high signal-to-noise ratio (SNR) output. Dual ac modulation is employed for magnetic bead signal detection. The results indicate that a sensor with a linewidth of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1~\mu $ </tex-math></inline-formula>m and line spacing of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\mu $ </tex-math></inline-formula>m exhibits the highest signal output and a higher SNR.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-06
DOI
https://doi.org/10.1109/jsen.2024.3426616
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structures of Giant Magnetoresistance Sensors for Magnetic Bead Detection

Yawen Chen, Yaqian Ren, Mingyang Zhao, Xiaoping Gao et al.
IEEE Sensors Journal
Magnetic Field Sensors Techniques
article

Structures of Giant Magnetoresistance Sensors for Magnetic Bead Detection

Yawen Chen, Yaqian Ren, Mingyang Zhao, Xiaoping Gao, Hairong Li, Xi Tan, Zhixue Li, Qionglin Cheng, Ming Yi, Huiliang Wu, Qi Ding, Yuzhe Song, Weining Liu, Dandan Huang
article en

Abstract

This study explores the fabrication of giant magnetoresistance (GMR) sensors through the microelectromechanical systems (MEMS) process. Moreover, it investigates the magnetic properties of these sensors across various structural parameters. In particular, the study evaluates the effects of variations in four specific parameters of a GMR sensor on magnetic bead signals, aiming to achieve high sensitivity of the sensor and a high signal-to-noise ratio (SNR) output. Dual ac modulation is employed for magnetic bead signal detection. The results indicate that a sensor with a linewidth of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1~\mu $ </tex-math></inline-formula>m and line spacing of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\mu $ </tex-math></inline-formula>m exhibits the highest signal output and a higher SNR.

IEEE Sensors JournalVol. 24(22)
Gansu Academy of Sciences (CN), Lanzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Magnetic Field Sensors Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.