journal article·2020-01-24

Sulfur-Vacancy-Enriched MoS2 Nanosheets Based Heterostructures for Near-Infrared Optoelectronic NO2 Sensing

Yi Xia, Chenyu Hu, Shenghui Guo, Libo Zhang, Mingjun Wang, Jinhui Peng, Lei Xu, Jing Wang

ACS Applied Nano Materials· Volume 3· Issue 1
Publisher page

Abstract

Transition metal dichalcogenide nanostructures especially MoS2 have emerged as novel gas sensing materials. Particularly, MoS2-based optoelectronic devices activated by UV or visible light have been demonstrated as promising candidates for room temperature NO2 sensors. Here, we propose a novel room-temperature optoelectronic NO2 sensor based on sulfur-vacancy-enriched MoS2 (SV-MoS2). SV-MoS2 nanosheets were efficiently fabricated by a microwave-hydrothermal method, and their enhanced optical absorption and optoelectronic properties in the near-infrared (NIR) light region were experimentally and theoretically investigated. The optoelectronic gas sensors based on SV-MoS2 exhibited enhanced performance to ppb level of NO2 under NIR light illumination at room temperature. In addition, through functionalization with ZnO quantum dots, the SV-MoS2/ZnO nanocomposites exhibited a further enhancement in responses with fast response/recovery rates, full reversibility, and sub-ppb detection limit to NO2 at room temperature. The significant NO2 sensing improvement was due to the improved charge generation and transfer induced by sulfur vacancy under NIR light illumination. In addition, the sensor shows satisfied stability, reliable selectivity, and humidity resistance at room temperature. Therefore, this work provides an alternative approach to high-performance, low-power-consumption optoelectronic NO2 gas sensors working at room temperature, which can also be applied to other transition metal dichalcogenides for optoelectronic devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · 2D Materials and Applications · Transition Metal Oxide Nanomaterials

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

Affiliations

Research Center for Analysis and Measurement, Kunming University of Science and Technology, and Analytic & Testing Research Center of Yunnan, Kunming 650093, China

School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, China

The Key Laboratory of Unconventional Metallurgy, Ministry of Education, Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technolog, Kunming 650093, China

Funding

Ministry of Education of the People's Republic of China · Yunnan Provincial Department of Education · Natural Science Foundation of Jiangsu Province · Analysis and Testing Foundation of Kunming University of Science and Technology · Kunming University of Science and Technology · National Natural Science Foundation of China

References (48)

Show source-provided references
1. 10.1038/517021b10.1038/517021b ↗
2. 10.1021/jp406189510.1021/jp4061895 ↗
3. 10.1007/s12274-017-1688-y10.1007/s12274-017-1688-y ↗
4. 10.1021/acssensors.8b0107710.1021/acssensors.8b01077 ↗
5. 10.1021/acsami.8b0581110.1021/acsami.8b05811 ↗
6. 10.1021/acsami.8b2098410.1021/acsami.8b20984 ↗
7. 10.1039/C9TA03452H10.1039/C9TA03452H ↗
8. 10.3390/s1909212310.3390/s19092123 ↗
9. 10.1002/advs.20150000410.1002/advs.201500004 ↗
10. 10.1021/acssensors.8b0014610.1021/acssensors.8b00146 ↗
11. 10.1021/acsnano.8b0877810.1021/acsnano.8b08778 ↗
12. 10.1088/1361-6528/ab227710.1088/1361-6528/ab2277 ↗
13. 10.1039/C8TA02679C10.1039/C8TA02679C ↗
14. 10.1021/acssensors.7b0073110.1021/acssensors.7b00731 ↗
15. 10.1021/acssensors.8b0014610.1021/acssensors.8b00146 ↗
16. 10.1021/acsnano.8b0877810.1021/acsnano.8b08778 ↗
17. 10.1039/C5CC06146F10.1039/C5CC06146F ↗
18. 10.1007/s11307-011-0489-z10.1007/s11307-011-0489-z ↗
19. 10.1021/acsami.6b0324210.1021/acsami.6b03242 ↗
20. 10.1002/smll.20160019110.1002/smll.201600191 ↗
21. 10.1016/j.snb.2017.12.10110.1016/j.snb.2017.12.101 ↗
22. 10.1016/j.snb.2010.02.05910.1016/j.snb.2010.02.059 ↗
23. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
24. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
25. 10.1063/1.338234410.1063/1.3382344 ↗
26. 10.1021/acsami.5b0810310.1021/acsami.5b08103 ↗
27. 10.1021/acsnano.9b0158310.1021/acsnano.9b01583 ↗
28. 10.1038/ncomms1588110.1038/ncomms15881 ↗
29. 10.1016/j.snb.2018.02.06010.1016/j.snb.2018.02.060 ↗
30. 10.1021/acs.nanolett.6b0534610.1021/acs.nanolett.6b05346 ↗
31. 10.1039/C5RA15019A10.1039/C5RA15019A ↗
32. 10.1021/acssuschemeng.8b0284210.1021/acssuschemeng.8b02842 ↗
33. 10.1002/smll.20140292310.1002/smll.201402923 ↗
34. 10.1016/j.jallcom.2016.12.22210.1016/j.jallcom.2016.12.222 ↗
35. 10.1021/acsami.6b0220610.1021/acsami.6b02206 ↗
36. 10.1016/j.jallcom.2016.03.02910.1016/j.jallcom.2016.03.029 ↗
37. 10.1021/acsami.6b1566910.1021/acsami.6b15669 ↗
38. 10.1038/nmat470310.1038/nmat4703 ↗
39. 10.1002/adma.20180247810.1002/adma.201802478 ↗
40. 10.1002/adma.20140247110.1002/adma.201402471 ↗
41. 10.1063/1.489302010.1063/1.4893020 ↗
42. 10.1016/j.ancr.2015.03.00110.1016/j.ancr.2015.03.001 ↗
43. 10.1039/C6TA11019C10.1039/C6TA11019C ↗
44. 10.1016/j.snb.2019.12666610.1016/j.snb.2019.126666 ↗
45. 10.1002/smll.20140292310.1002/smll.201402923 ↗
46. 10.1002/smll.20120122410.1002/smll.201201224 ↗
47. 10.1021/nn400026u10.1021/nn400026u ↗
48. 10.1039/C7NR08366A10.1039/C7NR08366A ↗