Dual-Motor Oxygen-Deficiency-Engineering Al-Doped W<sub>18</sub>O<sub>49–<i>x</i></sub> Circular Nanorod Arrays for Parts per Billion-Level Acetone Detection
Developing low-temperature gas sensors for parts per billion-level acetone detection in breath analysis remains challenging for non-invasive diabetes monitoring. We implement dual-defect engineering via one-pot synthesis of Al-doped W<sub>18</sub>O<sub>49-<i>x</i></sub> nanorod arrays, establishing a W-O<sub>v</sub>-Al catalytic mechanism. Al<sup>3+</sup> doping induces lattice strain to boost oxygen vacancy density by 31.74% while transforming passive O<sub>v</sub> sites into active centers that enhance α-chemisorbed oxygen capacity and accelerate O<sub>2</sub> dissociation into reactive O<sup>-</sup> species. This synergy strengthens acetone adsorption (density functional theory-confirmed adsorption energy of -1.607 eV) and directs selective oxidation to acetic/formic acid. Consequently, the Al-W<sub>18</sub>O<sub>49-<i>x</i></sub> sensor demonstrates exceptional performance, including a maximum response of 65-50 ppm of acetone at 200 °C, an ultralow limit of detection (LOD) of 10 ppb, and remarkable long-term stability and durability, highlighting its potential for clinical diabetes diagnosis. Integrated with machine learning algorithms, it successfully discriminates healthy and simulated diabetic breath, enabling non-invasive clinical screening.
Authors
- Jingcheng Xu (ORCID: https://orcid.org/0000-0002-9972-0782)
- Ding Wang (ORCID: https://orcid.org/0000-0002-2863-9303)
- Huirong Kou
- Jinwu Hu (ORCID: https://orcid.org/0000-0003-2336-3317)
- Qingmin Hu (ORCID: https://orcid.org/0000-0002-4071-9509)
- Huijun Li (ORCID: https://orcid.org/0000-0002-2155-0162)
- Jin Lin (ORCID: https://orcid.org/0000-0001-9127-4864)
- Guisheng Li
Institutions
- Shanghai University (CN)
- University of Shanghai for Science and Technology (CN)
- Near East School of Theology (LB)
- College of Medical Sciences (NP)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1021/acs.nanolett.5c03597
- Citations
- 4
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 2.92