journal article·2025-01-17

Nickel-Doped Tin Selenide Nanosheets for Detection of NO2 at pbb Levels with Fast Response and Recovery at Room Temperature

Yingchun Dong, Jiongyue Hao, Yijie Shi, Yanqiao Ding, Wen Niu, Yuanting Yu, Hangyu Liu, Chun Huang, Yuhui He, Xiangshui Miao, Wei Hu, Yong He

ACS Applied Nano Materials· Volume 8· Issue 2
Publisher page

Abstract

Monitoring of reactive nitrogen by the Internet of Things (IoT) is urgently needed for sustainable nitrogen management to debilitate ill-health and achieve climate-stable. However, the real-time detection of nitrogen dioxide (NO 2 ) at parts per billion (ppb) levels using a low-temperature chemiresistive gas sensor with high sensitivity and fast response and recovery remains a formidable challenge. In this study, we propose a facile one-step hydrothermal method for substituting nickel into tin selenide (SnSe) nanosheets, which effectively enhances the room temperature (RT) response/recovery speed and sensitivity of SnSe-based sensor toward NO 2 . The Ni-doped SnSe sensor with a vintage doping ratio exhibits an enhanced absolute response value of 20.06 times (58.99% vs 2.94%) toward 100 ppb NO 2, compared to the pristine SnSe sensor, while also demonstrating a remarkable reduction in response/recovery time (10.32 s and 11.88 s vs 112.43 and 111.14 s). Moreover, the Ni-doped SnSe sensor exhibits remarkable selectivity and exceptional response stability. Through density functional theory (DFT) analysis, we demonstrate that the introduction of Ni atoms into the SnSe lattice generates deep impurity energy levels in the band structures, creating more active sites that enhance the interaction between the NO 2 molecules and SnSe. Furthermore, these deep impurity energy levels contribute to the ultrafast response/recovery in detecting NO 2 using Ni-doped SnSe. Our study presents a straightforward and effective strategy for the development of pollutant gas sensors that exhibit high sensitivity, low power consumption, and fast response/recovery.
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Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Thermoelectric Materials and Devices · 2D Materials and Applications

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

Affiliations

State Key Laboratory of Coal Mine Disaster Dynamic and Control, Chongqing University, Chongqing 400044, China

Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China

School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, Sichuan 610039, China

School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan 430074, China

Funding

Natural Science Foundation of Chongqing Municipality · Fundamental Research Funds for the Central Universities

References (63)

Show source-provided references
1. 10.1007/s12598-020-01397-210.1007/s12598-020-01397-2 ↗
2. 10.1021/acs.analchem.9b0562310.1021/acs.analchem.9b05623 ↗
3. 10.1007/s40820-020-00503-410.1007/s40820-020-00503-4 ↗
4. 10.1016/j.snb.2008.09.05610.1016/j.snb.2008.09.056 ↗
5. 10.1016/j.materresbull.2007.07.04510.1016/j.materresbull.2007.07.045 ↗
6. 10.1016/j.snb.2003.10.00310.1016/j.snb.2003.10.003 ↗
7. 10.1016/j.snb.2010.10.02910.1016/j.snb.2010.10.029 ↗
8. 10.1016/j.jhazmat.2021.12621810.1016/j.jhazmat.2021.126218 ↗
9. 10.1016/j.snb.2022.13142410.1016/j.snb.2022.131424 ↗
10. 10.1016/j.jhazmat.2021.12806110.1016/j.jhazmat.2021.128061 ↗
11. 10.1016/j.snb.2023.13366210.1016/j.snb.2023.133662 ↗
12. 10.1021/acsami.3c0278210.1021/acsami.3c02782 ↗
13. 10.1038/s41467-021-25192-410.1038/s41467-021-25192-4 ↗
14. 10.1016/j.snb.2017.08.09110.1016/j.snb.2017.08.091 ↗
15. 10.1016/j.snb.2022.13213110.1016/j.snb.2022.132131 ↗
16. 10.1021/acssensors.8b0014610.1021/acssensors.8b00146 ↗
17. 10.1021/acssensors.4c0193610.1021/acssensors.4c01936 ↗
18. 10.1002/chem.20230215410.1002/chem.202302154 ↗
19. 10.1039/D4RA05346J10.1039/D4RA05346J ↗
20. 10.1016/j.jhazmat.2023.13215310.1016/j.jhazmat.2023.132153 ↗
21. 10.1021/acssensors.3c0167610.1021/acssensors.3c01676 ↗
22. 10.1016/j.mssp.2021.10623510.1016/j.mssp.2021.106235 ↗
23. 10.1021/acsami.1c1221310.1021/acsami.1c12213 ↗
24. 10.1021/acsami.9b1377310.1021/acsami.9b13773 ↗
25. 10.1021/acsami.8b1045510.1021/acsami.8b10455 ↗
26. 10.1016/j.pmatsci.2018.04.00510.1016/j.pmatsci.2018.04.005 ↗
27. 10.1002/advs.20170060210.1002/advs.201700602 ↗
28. 10.1007/s10853-020-04949-010.1007/s10853-020-04949-0 ↗
29. 10.1039/D0RA09807H10.1039/D0RA09807H ↗
30. 10.1002/advs.20190292310.1002/advs.201902923 ↗
31. 10.1016/j.cplett.2017.08.03010.1016/j.cplett.2017.08.030 ↗
32. 10.1109/LED.2018.280636710.1109/LED.2018.2806367 ↗
33. 10.1016/j.mtcomm.2022.10313510.1016/j.mtcomm.2022.103135 ↗
34. 10.1002/chem.20190533710.1002/chem.201905337 ↗
35. 10.1021/acsanm.1c0410010.1021/acsanm.1c04100 ↗
36. 10.1002/adfm.20180257510.1002/adfm.201802575 ↗
37. 10.1021/acsnano.2c0221410.1021/acsnano.2c02214 ↗
38. 10.1039/C7TA07001B10.1039/C7TA07001B ↗
39. 10.1016/j.surfin.2023.10351810.1016/j.surfin.2023.103518 ↗
40. 10.1109/JSEN.2023.327747410.1109/JSEN.2023.3277474 ↗
41. 10.1080/02564602.2022.214391610.1080/02564602.2022.2143916 ↗
42. 10.1038/ncomms1371310.1038/ncomms13713 ↗
43. Zhao F. · J. Optoelectron. Adv. Mater. · 2022 · 24 · 236
44. 10.1016/j.jallcom.2021.16326910.1016/j.jallcom.2021.163269 ↗
45. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
46. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
47. 10.1103/PhysRevLett.78.139610.1103/PhysRevLett.78.1396 ↗
48. 10.1002/jcc.2049510.1002/jcc.20495 ↗
49. Bader R. F. W. · 199010.1093/oso/9780198551683.001.0001 ↗
50. 10.1002/aenm.20180077510.1002/aenm.201800775 ↗
51. 10.1021/acs.inorgchem.8b0232410.1021/acs.inorgchem.8b02324 ↗
52. 10.1016/j.apsusc.2021.15031110.1016/j.apsusc.2021.150311 ↗
53. 10.1016/j.snb.2020.12814410.1016/j.snb.2020.128144 ↗
54. 10.1016/j.snb.2004.02.01710.1016/j.snb.2004.02.017 ↗
55. 10.1021/acsmaterialslett.4c0094210.1021/acsmaterialslett.4c00942 ↗
56. 10.1021/acsanm.4c0565310.1021/acsanm.4c05653 ↗
57. 10.1016/j.snb.2022.13240710.1016/j.snb.2022.132407 ↗
58. 10.1021/acsami.2c2039110.1021/acsami.2c20391 ↗
59. 10.1038/nmat196710.1038/nmat1967 ↗
60. 10.1016/0250-6874(87)80007-010.1016/0250-6874(87)80007-0 ↗
61. 10.1021/acsami.8b0395310.1021/acsami.8b03953 ↗
62. 10.1016/j.physe.2018.11.02110.1016/j.physe.2018.11.021 ↗
63. 10.1038/s41524-024-01329-z10.1038/s41524-024-01329-z ↗