Ultrasensitive Room-Temperature NO<sub>2</sub> Gas Sensor Based on MXene–Cu<sub>2</sub>O Composites
The development of real-time trace-level NO<sub>2</sub> quantification platforms that can be operated at room temperature constitutes a critical advancement for occupational safety and public health monitoring systems. This study demonstrates a room-temperature NO<sub>2</sub> sensor using MXene-Cu<sub>2</sub>O composites prepared via a hydrothermal method. Systematic evaluation of MXene-introduced effects identified the 0.84 wt % MXene-Cu<sub>2</sub>O composite as optimal, exhibiting 4-fold enhanced sensitivity and shorter response (55 s)/recovery (35 s) time compared to pure Cu<sub>2</sub>O. Additionally, the sensor exhibits a low detection limit (10 ppb), high selectivity, great reversibility, and long-term stability. The enhanced sensing performance originates from precisely engineered interfacial architectures between MXene and Cu<sub>2</sub>O, which effectively adjust the charge-transfer behavior through the conduction tunnel in the sensing material. Furthermore, oxygen vacancy engineering creates defect-mediated adsorption centers that promote selective NO<sub>2</sub> chemisorption through charge polarization effects. This research offers a novel strategy for designing optimized structures to enhance the sensitivity of MOS-based materials for NO<sub>2</sub> gas detection.
Authors
- Guangliang Cui (ORCID: https://orcid.org/0000-0002-9379-5353)
- Jingyi Luan (ORCID: https://orcid.org/0000-0001-5129-9506)
- Yin Liang (ORCID: https://orcid.org/0000-0003-2665-6078)
- Huijuan Chen (ORCID: https://orcid.org/0000-0003-1126-2324)
- Changchun Wang (ORCID: https://orcid.org/0000-0003-2163-2616)
- Pinhua Zhang (ORCID: https://orcid.org/0000-0002-3506-881X)
- Li Lv (ORCID: https://orcid.org/0009-0006-4848-0068)
- Wenbin Ren
Institutions
- Linyi University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1021/acssensors.5c00215
- Citations
- 21
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 15.34
Funders
- Natural Science Foundation of Shandong Province