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An Integrated Photo-Magnetic Sensor Chip Using Giant Magnetoresistance (GMR) and Light-Dependent Resistor (LDR)
Xuecheng Sun1, Xiaolong Chen1, Jiao Li1
1School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Micromachines
|May 27, 2026
Summary
This study introduces a novel photo-magnetic integrated sensor chip, combining giant magnetoresistance (GMR) and light-dependent resistor (LDR) functionalities. This cost-effective microfabrication technology enables simultaneous optical and magnetic detection for advanced applications.
Area of Science:
- Materials Science
- Electrical Engineering
- Nanotechnology
Background:
- Single-chip integration of multifunctional sensors is crucial for low power consumption and versatility.
- Fabrication compatibility between different sensing components is a significant challenge, increasing complexity and cost.
- Developing integrated sensors requires overcoming microfabrication hurdles for diverse sensing elements.
Purpose of the Study:
- To present a microfabrication-compatible photo-magnetic integrated sensor chip.
- To integrate giant magnetoresistance (GMR) and light-dependent resistor (LDR) sensing elements onto a single chip.
- To demonstrate a cost-effective fabrication process for multifunctional sensors.
Main Methods:
- Utilized micro-nano processing methods based on standard MEMS fabrication.
- Developed a fabrication process compatible with both GMR and LDR components.
- Employed standard microelectromechanical systems (MEMS) fabrication techniques for compatibility and cost-effectiveness.
Main Results:
- Successfully integrated GMR and LDR sensors on a single chip.
- Achieved simultaneous optical and magnetic detection capabilities.
- Demonstrated magnetic field sensitivity of 3.74 mV/Oe and photodetection sensitivity of 0.79 μA/(μW/cm2) at a 5 V bias.
Conclusions:
- The developed integrated sensor chip offers high-sensitivity magnetic and weak-light detection.
- The microfabrication-compatible process ensures cost-effectiveness and broad applicability.
- This technology shows promise for applications in robotics and advanced manufacturing.
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