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Soft Wireless Passive Chipless Sensors for Biological Applications: A Review
Mingguang Zhang1, Mengyun Li1, Wei Xu1
1School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China.
Biosensors
|January 24, 2025
Summary
Soft wireless passive sensors offer power-free, remote biological health monitoring. This review classifies and explains LC-resonant, radio frequency (RF), and surface acoustic wave (SAW) sensors for various applications.
Area of Science:
- Biomedical Engineering
- Sensor Technology
- Wireless Communication
Background:
- Soft wireless passive sensors are advantageous for biological and engineering applications due to their lack of external power requirements and capability for remote data transmission.
- These sensors acquire external information through electromagnetic induction using external coils.
Purpose of the Study:
- To review the biological applications of soft wireless passive chipless sensors.
- To classify wireless passive sensors and explain their core functionalities.
- To provide an overview of the main advancements in this field.
Main Methods:
- Classification of soft wireless sensors into three main types: LC-resonant, radio frequency (RF), and surface acoustic wave (SAW) sensors.
- Explanation of the working principles, equivalent circuits, and biological applications for each sensor type.
- Discussion of the underlying physics, including electromagnetic induction and piezoelectric principles.
Main Results:
- LC-resonant sensors measure physical quantities by correlating frequency resonance with the monitored object.
- RF sensors utilize electromagnetic fields for wireless measurement and data exchange of physical parameters.
- SAW sensors employ piezoelectric substrates and guided waves for physical parameter monitoring.
Conclusions:
- Soft wireless passive sensors are designed for unobtrusive biological health monitoring.
- They eliminate the need for external power supplies and wired communication, enhancing user convenience.
- These sensors represent a significant advancement in remote and non-invasive health diagnostics.

