As a commonly harmful product produced in industrial production, the sensitive detection of SO2 is a crucial safety consideration with adverse impacts on human health. However, constructing MXene-based gas sensors for rapid detection at room temperature is still challenging. In this work, we demonstrate a V2CTx gasistor (gas memristor) with a millisecond-level cycle (360 ms) for SO2 ultrafast detection, and meanwhile, the function of gas response and memory is realized. Specifically, the synaptic plasticity of paired-pulse facilitation (PPF) behavior has been applied to identify the different types of gases instead of gas sensitivity. Consistent with gas response performance, the gasistor displays the highest pulse-controlled PPF ratio (210.4%) under 10 ms electric pulse interval for 10 ppm SO2, 1.34 times that under air. Also, the V2CTx gasistor exhibits excellent repeatability and good stability. Furthermore, this strategy provides a great application prospect in rapid detection and medical treatment for toxic gases and artificial sensing memory.
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3 July 2023
Research Article|
July 05 2023
V2CTx gas sensor based on memristive effect with ultrafast SO2 detection
Special Collection:
Carbon-based Materials for Energy Conversion and Storage
Liangchao Guo
;
Liangchao Guo
(Conceptualization, Software, Writing – original draft)
1
College of Mechanical Engineering, Yangzhou University
, Yangzhou 225127, People's Republic of China
2
School of Light Industry and Engineering, South China University of Technology
, Guangzhou 510640, People's Republic of China
3
Kema Postdoctoral Workstation, Zhejiang KemaFriction Materials Co. LTD.
, Songyang 323400, People's Republic of China
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Haoran Han
;
Haoran Han
(Resources, Software)
1
College of Mechanical Engineering, Yangzhou University
, Yangzhou 225127, People's Republic of China
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Yi Li
;
Yi Li
(Investigation, Resources)
4
Sierra Canyon School
, Chatsworth, California 91311, USA
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Chen Ye
;
Chen Ye
(Formal analysis, Funding acquisition)
5
Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo 315201, People's Republic of China
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Junfeng Cui
;
Junfeng Cui
(Data curation, Writing – original draft)
5
Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo 315201, People's Republic of China
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Chaoyue Zheng
;
Chaoyue Zheng
(Formal analysis, Software)
6
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
, Huzhou 313001, People's Republic of China
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Guanglong Ding
;
Guanglong Ding
(Formal analysis, Project administration)
7
Institute for Advanced Study, Shenzhen University
, Shenzhen 518060, People's Republic of China
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Yongbiao Zhai;
Yongbiao Zhai
(Resources, Supervision)
7
Institute for Advanced Study, Shenzhen University
, Shenzhen 518060, People's Republic of China
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Ye Zhou
;
Ye Zhou
a)
(Resources, Supervision)
7
Institute for Advanced Study, Shenzhen University
, Shenzhen 518060, People's Republic of China
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Chao Zhang
Chao Zhang
a)
(Funding acquisition, Supervision)
1
College of Mechanical Engineering, Yangzhou University
, Yangzhou 225127, People's Republic of China
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Note: This paper is part of the APL Special Collection on Carbon-based Materials for Energy Conversion and Storage.
Appl. Phys. Lett. 123, 013901 (2023)
Article history
Received:
April 29 2023
Accepted:
June 15 2023
Citation
Liangchao Guo, Haoran Han, Yi Li, Chen Ye, Junfeng Cui, Chaoyue Zheng, Guanglong Ding, Yongbiao Zhai, Ye Zhou, Chao Zhang; V2CTx gas sensor based on memristive effect with ultrafast SO2 detection. Appl. Phys. Lett. 3 July 2023; 123 (1): 013901. https://doi.org/10.1063/5.0156402
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