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Updated: Jan 26, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
Detection of Physiological Signals Based on Graphene Using a Simple and Low-Cost Method
Liping Xie1, Xingyu Zi2, Qingshi Meng3
1School of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110819, China. xielp@bmie.neu.edu.cn.
This study presents a simple, low-cost method for fabricating graphene sensors using graphene nanoplatelets and polyurethane film. The developed sensor effectively measures physiological signals like finger bending, respiration, and pulse waves.
Area of Science:
- Materials Science
- Biomedical Engineering
- Nanotechnology
Background:
- Graphene-based flexible wearable sensors are widely used but often require complex and expensive fabrication.
- There is a need for simplified, cost-effective methods to produce graphene sensors for physiological monitoring.
Purpose of the Study:
- To develop a simple and low-cost fabrication method for graphene-based physiological sensors.
- To demonstrate the effectiveness of the fabricated sensor in measuring various physiological signals.
Main Methods:
- Graphene nanoplatelets (GNPs) were prepared using a thermal expansion method.
- A graphene sensor was fabricated by sealing a graphene sheet with a polyurethane (PU) medical film.
- A signal processing circuit was developed to convert physiological signals into electrical outputs.
Main Results:
- The fabrication process was significantly simplified and cost-effective compared to existing methods.
- The sensor exhibited a linear change in resistance with deformation, suitable for signal detection.
- The sensor successfully measured finger bending motion, respiration, and pulse wave signals.
Conclusions:
- The developed simple and low-cost graphene sensor is a promising platform for physiological signal measurement.
- This method offers a viable alternative for producing wearable physiological monitoring devices.
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