Defects Enriched p-type Zinc Stannate for Selective Detection of ppb-Level NO<sub>2</sub> Gas at Ambient Temperature
In this study, we explore the synthesis and gas-sensing capabilities of zinc stannate (Zn2SnO4) in three morphologies─spherical nanoparticles, urchins, and octahedrons─aiming to investigate the influence of morphology on sensing properties. The fabricated devices exhibit a significant resistance decrease upon exposure to NO2 at room temperature (24 °C), indicating p-type sensing behavior. Among these morphologies, the spherical nanoparticle-based sensor exhibits the highest sensor response of 57% to 6 ppm of NO2, outperforming urchins and octahedrons by approximately 1.2 and 4.1 times, respectively. This superior performance, with response and recovery times of 6.3 s and 224 s, is attributed to enhanced redox reactions from a larger surface area and a higher proportion of oxygen interstitials. The spherical nanoparticle-based sensor also demonstrates exceptional selectivity for NO2 over SO2, CO, NH3, and CH4, with a detection limit of 200 ppb. Furthermore, the sensor exhibits excellent reversibility with only 2% variation across 20 consecutive test cycles and demonstrates remarkable long-term stability, with a performance fluctuation of approximately 2.3% over 63 days without significant degradation.
Authors
- Vishnu G Nath (ORCID: https://orcid.org/0000-0002-9104-6797)
- John D. Rodney (ORCID: https://orcid.org/0000-0001-5731-2329)
- S. Angappane (ORCID: https://orcid.org/0000-0001-8475-0404)
- Sindhur Joshi (ORCID: https://orcid.org/0000-0002-9510-2100)
- N.K. Udayashankar
- Nishita Pawar (ORCID: https://orcid.org/0009-0006-7701-8614)
Institutions
- National Institute of Technology Karnataka (IN)
- Sunchon National University (KR)
- Centre for Nano and Soft Matter Sciences (IN)
- Saveetha University (IN)
Publication Details
- Journal
- ACS Applied Nano Materials
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1021/acsanm.4c03864
- Citations
- 7
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 1.46