Related Experiment Video
Updated: Jan 18, 2026
06:39
Aerosol-assisted Chemical Vapor Deposition of Metal Oxide Structures: Zinc Oxide Rods
Published on: September 14, 2017
13.6K
Dual-Motor Oxygen-Deficiency-Engineering Al-Doped W18O49-x Circular Nanorod Arrays for Parts per Billion-Level
Jinwu Hu1, Lin Jin1, Huirong Kou1
1School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai 200093, China.
Nano Letters
|September 9, 2025
Summary
This study presents a novel Al-doped tungsten oxide sensor for detecting acetone in breath at parts per billion levels. This breakthrough enables highly sensitive, non-invasive diabetes monitoring via gas sensing.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Sensing
Background:
- Non-invasive diabetes monitoring requires sensitive detection of biomarkers like acetone in breath.
- Existing low-temperature gas sensors struggle with parts per billion-level acetone detection.
Purpose of the Study:
- To develop a highly sensitive, low-temperature gas sensor for acetone detection in breath for diabetes monitoring.
- To investigate the effect of Al-doping on W18O49-x nanorod arrays for enhanced gas sensing properties.
Main Methods:
- One-pot synthesis of Al-doped W18O49-x nanorod arrays.
- Dual-defect engineering to create W-Ov-Al catalytic sites.
- Density Functional Theory (DFT) calculations to confirm acetone adsorption energy.
- Gas sensing performance evaluation at 200 °C.
- Integration with machine learning algorithms for breath analysis.
Main Results:
- Al-doping increased oxygen vacancy density by 31.74% and enhanced catalytic activity.
- Achieved a maximum acetone response of 65-50 ppm at 200 °C.
- Demonstrated an ultralow limit of detection (LOD) of 10 ppb for acetone.
- Sensor exhibited excellent long-term stability and durability.
- Successfully discriminated between healthy and simulated diabetic breath using machine learning.
Conclusions:
- Al-doped W18O49-x nanorod arrays offer a promising platform for low-temperature acetone gas sensing.
- The developed sensor shows significant potential for non-invasive clinical diagnosis of diabetes.
- Synergistic effects of Al-doping and oxygen vacancies enhance sensor performance and selectivity.
