4.7 Article

Achievement of self-heated sensing of hazardous gases by WS2 (core)?SnO2 (shell) nanosheets

期刊

JOURNAL OF HAZARDOUS MATERIALS
卷 412, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhazmat.2021.125196

关键词

2D WS2; SnO2 shell; Core?shell; Self-heating; Gas sensor

资金

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2016R1A6A1A03013422, NRF-2019R1A6A3A01090115]
  2. National Research Foundation of Korea (NRF) - Korean government (MSIT) [2019R1A2C1006193]

向作者/读者索取更多资源

The study investigated the effects of SnO2 shell thickness and operating voltage on the sensing behavior of WS2 nanosheets, finding that a 15 nm thick shell at 3.4 V was optimal for CO sensing, while a 30 nm thick shell was optimal for NO2 sensing. The engineering design principles can be used to selectively detect reducing gases like CO.
With the recent rapid development of portable smart electronic devices, there is a great demand for gas sensors having high performance, high flexibility, and low energy consumption. We explored the effects of SnO2 shell thickness and operating voltage on the sensing behavior of WS2 nanosheets (NSs) deposited over a flexible substrate in self-heating mode. Commercial WS2 nanowires (NWs) were used as the core and SnO2 shells with various thicknesses were deposited on the core by an advanced physical technique, namely atomic layer deposition (ALD). With regard to CO sensing, a shell thickness of 15 nm operating at 3.4 V, was optimal. Alternatively, for NO2 sensing, the optimal shell thickness was 30 nm. Therefore, using engineering design principles to determine the shell material and shell thickness, it is possible to selectively detect reducing gases such as CO, while the response to oxidizing gases is weak. We have also discussed the details of this sensing mechanism. We believe that our results can lead to further study of C?S NSs for sensing studies from different points of views.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据