High-Performance SnO<sub>2</sub> Nanosphere Gas Sensor for Harmful Gas Detection in Smart Automotive Cloud Platforms
The rapid industrialization has led to a sharp increase in the emission of harmful gases, posing significant threats to public health and environmental safety. To address the urgent need for efficient and reliable gas detection systems, this study introduces a novel SnO 2 nanosphere-based gas sensor, synthesized via a one-step hydrothermal method. The synthesized SnO 2 nanospheres were comprehensively characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS) techniques. The gas sensing performance of the sensor was evaluated using an advanced intelligent gas sensing test system. The results demonstrate that the SnO 2 nanospheres exhibit exceptional gas sensing capabilities, particularly for detecting ammonia (NH 3 ). At an operating temperature of 300 °C, the sensor achieved a response value of 22.56 for 400 ppm NH 3 , with rapid response and recovery times of 4.2 seconds and 8.5 seconds, respectively. Furthermore, the sensor displayed excellent stability, repeatability, and selectivity. Its spherical morphology, with a uniform particle size of approximately 100 nm, contributed significantly to its enhanced performance by providing a high specific surface area and efficient gas diffusion pathways. The integration of this gas sensor into an intelligent automobile cloud control platform highlights its potential for real-time harmful gas detection in advanced automotive systems. This work offers a promising approach for developing next-generation gas sensing technologies tailored to meet the demands of industrial and automotive applications.
Authors
- Hassan Fouad (ORCID: https://orcid.org/0000-0001-9266-0628)
- Asmma Alqarni
- Chen Chuanyang
- Chu Jinling
- Wen Zeng (ORCID: https://orcid.org/0000-0002-8097-3499)
- Xuan Dong (ORCID: https://orcid.org/0000-0002-7574-0543)
- Boyang Sun (ORCID: https://orcid.org/0000-0002-1826-0770)
- Li Li (ORCID: https://orcid.org/0000-0002-9428-1960)
- Ge Bingnan
Institutions
- Chongqing University (CN)
- University of America (US)
- King Saud University (SA)
- Ministry of Transport (CN)
- Research Institute of Highway (CN)
- Catholic University of America (US)
Publication Details
- Journal
- Journal of Nanoelectronics and Optoelectronics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1166/jno.2024.3693
- Citations
- 1
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.21