Related Experiment Video
Updated: Jan 15, 2026

07:58
A Polyaniline-based Sensor of Nucleic Acids
Published on: November 1, 2016
8.4K
Bioinspired Iontronic Gas Sensor for Selective CO2 Sensing via Reversible Lysine Carbamylation
Jiyuan Xue1, Bingcheng Shen1, Juan Wang2
1State Key Laboratory of Integrated Optoelectronics, JLU Region, College of Electronic Science and Engineering, Jilin University, Changchun 130012, P. R. China.
ACS Sensors
|October 7, 2025
Summary
Researchers developed a novel bioinspired sensor using lysine to detect carbon dioxide (CO2). This low-power iontronic device offers high selectivity and stability for accurate CO2 monitoring in various environments.
Area of Science:
- Materials Science and Engineering
- Chemical Sensors
- Biomimetic Technology
Background:
- Carbon dioxide (CO2) is crucial for climate, air quality, and biology, but its inertness challenges sensor development.
- Biological systems utilize CO2 for molecular recognition, such as protein modulation via lysine carbamylation.
Purpose of the Study:
- To develop a bioinspired iontronic sensor for sensitive and selective carbon dioxide (CO2) detection.
- To leverage lysine-CO2 carbamylation for a novel CO2 sensing mechanism.
Main Methods:
- Embedding lysine moieties into a poly(ethylene glycol) diacrylate (PEGDA) hydrogel matrix.
- Utilizing impedance spectroscopy to detect changes caused by CO2-induced carbamate formation.
- Evaluating sensor performance, including linearity, detection limit, stability, and cross-sensitivity.
Main Results:
- The lysine-based hydrogel sensor demonstrated excellent linearity (R² > 0.995) for CO2 detection from 0 to 2000 ppm.
- A theoretical detection limit of approximately 76 ppm was achieved, suitable for ambient monitoring.
- The sensor exhibited stable performance over 28 days with negligible cross-sensitivity to common interfering gases.
Conclusions:
- The bioinspired iontronic sensor effectively utilizes lysine-CO2 carbamylation for precise CO2 sensing.
- This versatile, low-power platform is suitable for applications like indoor air quality monitoring and plant respiration studies.

