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Updated: Sep 13, 2025

Fast and Accurate Exhaled Breath Ammonia Measurement
Published on: June 11, 2014
MXene-Based Gas Sensors for NH3 Detection: Recent Developments and Applications
Yiyang Xu1, Yinglin Wang1, Zhaohui Lei1
1School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China.
MXene-based sensors offer advanced, low-temperature detection of ammonia gas, crucial for environmental and health monitoring. This review highlights design strategies improving selectivity and response times for diverse applications.
Area of Science:
- Materials Science
- Environmental Science
- Sensor Technology
Background:
- Ammonia (NH3) is a toxic gas prevalent in industrial and agricultural sectors, and as a disease biomarker.
- Accurate ammonia detection is critical for environmental safety, public health, and various industrial applications.
- MXene materials, with their unique properties, show promise for sensitive ammonia gas sensing.
Purpose of the Study:
- To review recent advancements in MXene and its composite-based sensors for low-temperature ammonia gas detection.
- To elucidate design strategies for enhancing MXene sensor performance.
- To discuss the potential and challenges of MXene sensors in real-world applications.
Main Methods:
- Review of literature on MXene-based ammonia gas sensors.
- Analysis of composite design strategies: heterojunction engineering, surface functionalization, and active site modification.
- Evaluation of sensing performance metrics: selectivity, response time, detection limits, and operating temperature.
Main Results:
- MXene composites demonstrate significantly improved ammonia sensing performance at low temperatures.
- Strategies like heterojunctions and functionalization enhance selectivity, speed, and sensitivity.
- Successful applications shown in industrial safety, food monitoring, medical diagnosis, and agriculture.
Conclusions:
- MXene-based sensors are highly effective for low-temperature ammonia detection.
- Optimized material design is key to overcoming challenges like oxidation and humidity interference.
- Future development aims for real-time, energy-efficient monitoring networks.
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