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author:

Wang, H. (Wang, H..) [1] | Cui, Z. (Cui, Z..) [2] | Xiong, R. (Xiong, R..) [3] | Tang, L. (Tang, L..) [4] | Ming, Y. (Ming, Y..) [5] | Wu, X. (Wu, X..) [6] | Sa, B. (Sa, B..) [7] | Song, W. (Song, W..) [8] | Zeng, D. (Zeng, D..) [9]

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Abstract:

Two-dimensional (2D) transition metal dichalcogenides (TMDs) room temperature (RT) gas sensors are of great value for monitoring leaks of hazardous gases under harsh environments. However, the highly sensitive and rapid detection of TMDs in an energy-efficient state is still a formidable obstacle. This work reports the ultrasensitive NO2 sensor based on rare-earth Nd doped VS2/carbon nanofibers (CNFs) (abbreviated as x%Nd-VS2-C), which exhibits a fast response/recovery and intense response at RT. The impact of the Nd doping amount on the NO2-sensing properties of x%Nd-VS2-C was systematically explored. The active Nd-doping and abundant S vacancies could activate the inert basal planes of VS2 efficiently and increase the active sites of the surface, thereby improving the NO2-sensing performance of the sensor. Additionally, theoretical calculations validate the finding by demonstrating a more negative NO2 adsorption energy of −3.12 eV on the (001) surface of Nd-VS2-C compared to −1.26 eV on pure VS2. The 2% Nd-VS2-C exhibits optimal RT NO2-sensing properties, with a thrilling response/recovery rate (∼17 s/20 s), high sensitivity (∼3.03 to 10 ppm of NO2), favorable selectivity and stability, and low detection limit (18 ppb). The outstanding “‘4S’” features make the 2%Nd-VS2-C sensor greatly attractive for precise and ultrasensitive NO2 detection at RT. © 2024 American Chemical Society.

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  • [ 1 ] [Wang H.]State Key Laboratory of Materials Processing and Die Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), No. 1037, Luoyu Road, Wuhan, 430074, China
  • [ 2 ] [Cui Z.]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Xiong R.]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Tang L.]State Key Laboratory of Materials Processing and Die Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), No. 1037, Luoyu Road, Wuhan, 430074, China
  • [ 5 ] [Ming Y.]State Key Laboratory of Materials Processing and Die Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), No. 1037, Luoyu Road, Wuhan, 430074, China
  • [ 6 ] [Wu X.]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Sa B.]Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Song W.]State Key Laboratory of Materials Processing and Die Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), No. 1037, Luoyu Road, Wuhan, 430074, China
  • [ 9 ] [Zeng D.]State Key Laboratory of Materials Processing and Die Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology (HUST), No. 1037, Luoyu Road, Wuhan, 430074, China

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Source :

ACS Materials Letters

ISSN: 2639-4979

Year: 2024

Issue: 7

Volume: 6

Page: 2617-2625

9 . 9 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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