Room‐Temperature Ammonia Sensing Using a Novel CuSeO 3 /MXene Nanocomposite With Enhanced Selectivity and Sensitivity
Two‐dimensional Ti 3 C 2 T x MXene continues to attract attention for gas‐sensing technologies due to its excellent electrical conductivity, abundant surface terminations, and rapid charge–transfer characteristics. In this study, a CuSeO 3 /MXene nanocomposite was synthesized through a hydrothermal route and evaluated as a room‐temperature chemiresistive sensor for ammonia (NH 3 ). The synergistic combination of CuSeO 3 , offering strong redox activity and abundant adsorption sites, with MXene, providing a high surface area and efficient electron‐transport pathways, significantly improves sensing performance. The nanocomposite exhibits a response of 78.9% toward 500 ppm NH 3 , rapid response‐recovery behavior with a low LOD of 1.808 ppm, and excellent selectivity against interfering gases such as ethanol, acetone, methanol, and formaldehyde. The sensor operates efficiently in the 50–500 ppm range ( R 2 = 0.9947), suitable for industrial and food monitoring applications. The enhanced behavior is attributed to effective NH 3 adsorption and charge‐carrier modulation at the CuSeO 3 /MXene interface, supported by the formation of a metal‐semiconductor junction under ambient conditions. These results demonstrate that the CuSeO 3 /MXene nanocomposite is a promising candidate for high‐performance room‐temperature NH 3 sensing applications.
Authors
- Jayandra Bushion
- Chih‐Yu Kuo (ORCID: https://orcid.org/0000-0002-1211-6700)
- Chatchawal Wongchoosuk (ORCID: https://orcid.org/0000-0002-5613-6615)
- Mani Govindasamy (ORCID: https://orcid.org/0000-0001-6701-6507)
- Nobpon Seniwong-Na-ayuttaya
Institutions
- National Taipei University of Technology (TW)
- Ming Chi University of Technology (TW)
- Kasetsart University (TH)
- Saveetha University (IN)
Publication Details
- Journal
- Analysis & Sensing
- Published
- 2026-10-28
- DOI
- https://doi.org/10.1002/anse.70143
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kasetsart University
- National Taipei University of Technology
- Ming Chi University of Technology
- Kasetsart University Research and Development Institute