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A Sensitive Visual Method for the Detection of Hydrogen Sulfide Producing Bacteria
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Humidity-Resistant Pt/CrVN2 Fuel Cell Sensor for H2S Biomarker Detection
Zhaorui Zhang1,2, Chonghui Zhu1, Yu Liang1
1School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.
ACS Sensors
|June 16, 2025
Summary
This study introduces a novel sensor for detecting hydrogen sulfide (H₂S) biomarkers, even in humid conditions. The developed sensor offers sensitive, real-time monitoring for advanced medical diagnostics.
Area of Science:
- Materials Science
- Electrochemistry
- Biomedical Engineering
Background:
- Real-time biomarker monitoring is crucial for personalized diagnostics.
- Hydrogen sulfide (H₂S) is a key biomarker for oral diseases.
- Detecting low concentrations of H₂S in humid environments is challenging.
Purpose of the Study:
- To develop a highly sensitive and humidity-resistant H₂S sensor.
- To enable real-time, remote monitoring of H₂S biomarkers.
- To create a practical system for breath diagnosis in smart healthcare.
Main Methods:
- Fabrication of a platinum-loaded chromium vanadium nitride (Pt/CrVN₂) fuel cell-type H₂S sensor.
- Evaluation of sensor performance, including detection limits, response time, and selectivity.
- Testing sensor stability across a wide range of relative humidity (9%-79%).
- Development and validation of a wireless detection system for breath analysis.
Main Results:
- The Pt/CrVN₂ sensor achieved ultralow detection limits (50 ppb) with rapid response (4 s).
- The sensor demonstrated exceptional selectivity and high resistance to humidity.
- Stable performance was maintained across a broad humidity range (9%-79%).
- A wireless system was successfully validated for practical breath diagnosis.
Conclusions:
- The Pt/CrVN₂ sensor is a promising platform for sensitive, real-time biomarker detection.
- This technology advances next-generation medical diagnostics, particularly in smart healthcare.
- The sensor's humidity resistance overcomes a significant challenge in biomarker monitoring.

