Zinc stannate microcubes with an integrated microheater for low-temperature NO2 detection

Author(s)

Joshi, Nirav ; Long, Hu ; Naik, Pranav ; Kumar, Arvind ; Mastelaro, Valmor R. ; Oliveira, Osvaldo N. ; Zettl, Alex ; Lin, Liwei

• Document type: Journal article
• Source: NEW JOURNAL OF CHEMISTRY; v. 46, n. 37, p. 10-pg., 2022-08-23.

Abstract

This paper reports a facile technique to construct an oxide nanostructured film on a low-power microheater sensor platform to detect NO2 gas with high sensitivity and selectivity at a low temperature. Microcube-shaped zinc stannate (ZnSnO3) nanostructures prepared through a co-precipitation method were used to detect NO2 down to 85 ppb at 110 degrees C with a fast response and recovery time. Specifically, a 192% response in the resistance change was measured for 5 ppm NO2 gas, with a response time of 3.36 mins, excellent reproducibility, long-term stability, and high selectivity. The good gas-sensing performance of the ZnSnO3 microcubes is due to their porous surface, which provides a large surface area and suitable absorption-desorption processes. The versatility of the ZnSnO3 nanostructures may be further exploited with various sensing units on a single chip towards the development of arrays, as in electronic noses. (AU)

• FAPESP's process: 14/23546-1 - Enhanced sensitive and selective sensors made with p-NiO nanowire/n-ZnO Nanowire heterostructures
• Grantee: Niravkumar Jitendrabhai Joshi
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 13/07296-2 - CDMF - Center for the Development of Functional Materials
• Grantee: Elson Longo da Silva
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
• FAPESP's process: 16/23474-6 - Nanomaterial-based heterostructures: synthesis and their gas sensing properties
• Grantee: Niravkumar Jitendrabhai Joshi
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
• Grantee: Osvaldo Novais de Oliveira Junior
• Support Opportunities: Research Projects - Thematic Grants