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Abstract

This paper reports an ammonia sensor at room temperature (20 ± 2 °C) without heating device. Pristine SnS2 precursor was synthesized by hydrothermal method and three-dimensional (3D) hierarchical SnS2 nanoflowers were successfully obtained after being calcined at 450 °C. According to synthesis mechanism, 3D hierarchical nanoflowers were self-assembled from two-dimensional (2D) nanosheets; meanwhile 2D nanosheets were assembled from nanoparticles. The materials were characterized by XPS, SEM, TEM and XRD to investigate morphological and element content. The gas sensing performance of sensors at 20 ± 2 °C and 40 ± 5% relative humidity have been systematically investigated for ammonia. The results demonstrated that the response of S-doped SnO2 (460%) is about 2.5 times of pristine SnS2 (181%). The S-doped SnO2 exhibited great selectivity and excellent stability at 20 ± 2 °C. Compared to the pristine SnS2, the conductivity of the S-doped SnO2 material is noticeably improved, and the sensitization mechanism might be ascribed to SnO2/SnS2 heterostructure and the special 3D hierarchical nanoflower structure. The sensing properties of 3D hierarchical S-doped SnO2 nanoflowers make it a prospective material for the detection of ammonia.

Details

Title
Self-assembled 3D hierarchical S-doped SnO2 nanoflowers based room temperature ammonia sensor
Author
Li, Meihua 1   VIAFID ORCID Logo  ; Zhang, Yunfan 2 ; Gao, Xiaodong 2 ; Gu, Yunlong 2 ; Mou, Chao 2 ; Wei, Guangfen 1 

 Shandong Technology and Business University, School of Information and Electronic Engineering, Yantai, China (GRID:grid.443652.2) (ISNI:0000 0001 0074 0795); Shandong Technology and Business University, Key Laboratory of Sensing Technology and Control in Universities of Shandong, Yantai, China (GRID:grid.443652.2) (ISNI:0000 0001 0074 0795) 
 Shandong Technology and Business University, School of Information and Electronic Engineering, Yantai, China (GRID:grid.443652.2) (ISNI:0000 0001 0074 0795) 
Pages
488
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
ISSN
09574522
e-ISSN
1573482X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2775334737
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.