journal article·2024-07-01

Room Temperature Ultrasensitive NO2 Detection by Activating VS2 Basal Planes in Rare-Earth Nd-Doped VS2/Carbon Nanofibers

Huajing Wang, Zhou Cui, Rui Xiong, Lu Tang, Yue Ming, Xiao Wu, Baisheng Sa, Wulin Song, Dawen Zeng

ACS Materials Letters· Volume 6· Issue 7
Publisher page

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 NO 2 sensor based on rare-earth Nd doped VS 2 /carbon nanofibers (CNFs) (abbreviated as x %Nd-VS 2 - C), which exhibits a fast response/recovery and intense response at RT. The impact of the Nd doping amount on the NO 2 -sensing properties of x %Nd-VS 2 - C was systematically explored. The active Nd-doping and abundant S vacancies could activate the inert basal planes of VS 2 efficiently and increase the active sites of the surface, thereby improving the NO 2 -sensing performance of the sensor. Additionally, theoretical calculations validate the finding by demonstrating a more negative NO 2 adsorption energy of −3.12 eV on the (001) surface of Nd-VS 2 -C compared to −1.26 eV on pure VS 2 . The 2% Nd-VS 2 -C exhibits optimal RT NO 2 -sensing properties, with a thrilling response/recovery rate (∼17 s/20 s), high sensitivity (∼3.03 to 10 ppm of NO 2 ), favorable selectivity and stability, and low detection limit (18 ppb). The outstanding “‘4S’” features make the 2%Nd-VS 2 -C sensor greatly attractive for precise and ultrasensitive NO 2 detection at RT.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Chemical Sensor Technologies · Air Quality Monitoring and Forecasting

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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, P. R. China

Multiscale Computational Materials Facility & Materials Genome Institute, School of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, P. R. China

Funding

National Natural Science Foundation of China

References (34)

Show source-provided references
1. 10.1021/acssensors.8b0093710.1021/acssensors.8b00937 ↗
2. 10.1002/admt.20200124210.1002/admt.202001242 ↗
3. 10.1016/j.compag.2021.10667310.1016/j.compag.2021.106673 ↗
4. 10.3758/s13428-018-1110-z10.3758/s13428-018-1110-z ↗
5. 10.1016/j.jhazmat.2015.07.00310.1016/j.jhazmat.2015.07.003 ↗
6. 10.1016/j.jcis.2017.01.10610.1016/j.jcis.2017.01.106 ↗
7. 10.1002/adma.20150382510.1002/adma.201503825 ↗
8. 10.1021/acssensors.9b0099210.1021/acssensors.9b00992 ↗
9. 10.1039/C6TA11019C10.1039/C6TA11019C ↗
10. 10.1016/j.snb.2023.13344510.1016/j.snb.2023.133445 ↗
11. 10.1002/aelm.20210056710.1002/aelm.202100567 ↗
12. 10.1002/adma.20070150410.1002/adma.200701504 ↗
13. 10.1021/acssensors.3c0152610.1021/acssensors.3c01526 ↗
14. 10.1021/acssensors.1c0125810.1021/acssensors.1c01258 ↗
15. 10.1021/acs.chemrev.1c0064410.1021/acs.chemrev.1c00644 ↗
16. 10.1016/j.cej.2023.14772510.1016/j.cej.2023.147725 ↗
17. 10.1002/adma.20160183310.1002/adma.201601833 ↗
18. 10.1016/j.matchemphys.2008.09.02510.1016/j.matchemphys.2008.09.025 ↗
19. 10.1021/acssensors.2c0286210.1021/acssensors.2c02862 ↗
20. 10.1021/cm00047a01010.1021/cm00047a010 ↗
21. 10.1111/jace.1753310.1111/jace.17533 ↗
22. 10.1088/1361-6528/abb72e10.1088/1361-6528/abb72e ↗
23. 10.1021/nn100393710.1021/nn1003937 ↗
24. 10.1016/j.jhazmat.2021.12512010.1016/j.jhazmat.2021.125120 ↗
25. 10.1002/adfm.20180257510.1002/adfm.201802575 ↗
26. 10.4103/2229-5186.7934510.4103/2229-5186.79345 ↗
27. 10.1021/acsnano.6b0363110.1021/acsnano.6b03631 ↗
28. 10.1021/nn400026u10.1021/nn400026u ↗
29. 10.1021/acsanm.3c0322110.1021/acsanm.3c03221 ↗
30. 10.1016/j.snb.2021.12978310.1016/j.snb.2021.129783 ↗
31. 10.1002/anie.20191275610.1002/anie.201912756 ↗
32. 10.1021/acscatal.2c0595710.1021/acscatal.2c05957 ↗
33. 10.1016/j.snb.2015.04.04010.1016/j.snb.2015.04.040 ↗
34. 10.1002/adfm.20230593510.1002/adfm.202305935 ↗