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Gas sensitivity study of early diagnostic markers for lung cancer using MoTe2 single molecular membranes doped with different TM atoms: Based on density functional theory

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成果类型:
期刊论文
作者:
Yujie Chen;Wenhao Jiang;Yiyi Zhang;Dachang Chen;Min Xu;...
通讯作者:
Pengfei Jia
作者机构:
[Yujie Chen; Wenhao Jiang; Yiyi Zhang; Jiefeng Liu] School of Electrical Engineering, Guangxi University, Nanning, China
[Dachang Chen] School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China
[Min Xu] College of Food Science and Bioengineering, Xihua University, Chengdu, China
Guangxi Engineering Technology Innovation Center of Electric Power Transmission and Distribution Network Lightning Protection, Guangxi University, Nanning, China
[Pengfei Jia] School of Electrical Engineering, Guangxi University, Nanning, China<&wdkj&>Guangxi Engineering Technology Innovation Center of Electric Power Transmission and Distribution Network Lightning Protection, Guangxi University, Nanning, China
通讯机构:
[Pengfei Jia] S
School of Electrical Engineering, Guangxi University, Nanning, China<&wdkj&>Guangxi Engineering Technology Innovation Center of Electric Power Transmission and Distribution Network Lightning Protection, Guangxi University, Nanning, China
语种:
英文
期刊:
Colloids and Surfaces A: Physicochemical and Engineering Aspects
ISSN:
0927-7757
年:
2025
卷:
722
页码:
137289
基金类别:
CRediT authorship contribution statement Wenhao Jiang: Writing – review & editing, Validation, Data curation, Conceptualization. Yujie Chen: Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Pengfei Jia: Writing – review & editing, Supervision, Software, acquisition. Jiefeng Liu: Methodology, acquisition, Conceptualization. Min Xu: Methodology, Formal analysis, Conceptualization. Dachang Chen: Writing – review & editing, Visualization, Conceptualization. Yiyi Zhang: Supervision, This work is supposed by National Natural Science Foundation of China (Grant No. 61906160 ), Natural Science Foundation of Hubei Province (Grant No. 2022CFB941 ) and Sichuan Science and Technology Program (Grant No. 2022NSFSC1632 ).
机构署名:
本校为其他机构
院系归属:
电气与电子工程学院
摘要:
Lung cancer has become one of the deadliest and most prevalent cancers worldwide, and the use of gas sensors to detect volatile organic compounds (VOCs) in the exhaled breath of lung cancer patients is gaining increasing popularity. Compared with traditional medical diagnostic methods, this method is cost-effective and less invasive. During our experiments, we employ density functional theory to explore how transition metal (Cu, Pd, Pt)-doped MoTe₂ single-molecule membranes respond to VOCs commonly found in the exhalation gas of patients with ...

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