journal article·2025-04-09

Controlled Doping Sites to Enhance Charge Transfer of ZnO for Ultrarapid Methane Sensing

Renjie Chen, Zhongtian Wang, Yi Xia, Lan Xiang

ACS Applied Materials & Interfaces· Volume 17· Issue 14
Publisher page

Abstract

Charge transfer in metal oxide semiconductor-based sensitive materials plays a crucial role in gas sensing. Doping engineering is an effective approach to optimize the electrical properties of oxides for enhanced sensing performance. However, the underlying mechanism by which doping sites affect gas sensing performance remains not well-known. In this study, Al-doped ZnO nanorods with controlled doping sites (interstitial- and substitutional-dominant) were successfully fabricated via a mild (80 °C) and facile (30 min) liquid-phase route for CH 4 sensing. Direct atomic-scale observations showed that the doping Al site in ZnO shifted with increasing doping amount from interstitial-dominant to substitutional-dominant. The density functional theory results revealed that interstitially Al-doped ZnO realized more free ZnO electrons than pristine and substitutionally Al-doped ZnO, facilitating the generation of chemisorbed oxygen for CH 4 activation and electron transfer during the sensing process and thus resulting in ultrarapid CH 4 sensing with response and recovery times of 3.8 and 5.0 s, respectively.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · ZnO doping and properties · Analytical Chemistry and Sensors

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

Affiliations

Department of Chemical Engineering

Tsinghua University

Tanwei College

Research Center for Analysis and Measurement

Kunming University of Science and Technology and Analytic & Testing Research Center of Yunnan

Funding

National Natural Science Foundation of China · Yunnan Fundamental Research Project · Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University · Project of the "Xingdian Talent Support Program" of Yunnan Province

References (55)

Show source-provided references
1. 10.1126/science.aax182810.1126/science.aax1828 ↗
2. 10.1016/j.jhazmat.2004.09.03110.1016/j.jhazmat.2004.09.031 ↗
3. 10.1016/j.scitotenv.2024.17335910.1016/j.scitotenv.2024.173359 ↗
4. 10.3390/s11010001910.3390/s110100019 ↗
5. 10.3390/molecules2818671010.3390/molecules28186710 ↗
6. 10.3389/fphy.2022.85396610.3389/fphy.2022.853966 ↗
7. 10.1016/j.sna.2022.11357810.1016/j.sna.2022.113578 ↗
8. 10.1016/j.snb.2020.12856710.1016/j.snb.2020.128567 ↗
9. 10.1016/j.jece.2024.11249710.1016/j.jece.2024.112497 ↗
10. 10.1016/j.snb.2023.13360010.1016/j.snb.2023.133600 ↗
11. 10.1016/j.ceramint.2019.12.09410.1016/j.ceramint.2019.12.094 ↗
12. 10.1016/j.snb.2020.12903010.1016/j.snb.2020.129030 ↗
13. 10.1016/j.snb.2016.07.02310.1016/j.snb.2016.07.023 ↗
14. 10.1039/C9NR07699A10.1039/C9NR07699A ↗
15. 10.26599/CF.2025.920003710.26599/CF.2025.9200037 ↗
16. 10.1016/j.apcatb.2019.11855410.1016/j.apcatb.2019.118554 ↗
17. 10.3390/chemosensors1008032910.3390/chemosensors10080329 ↗
18. 10.1016/j.talanta.2018.01.01510.1016/j.talanta.2018.01.015 ↗
19. 10.1016/j.snb.2019.12733410.1016/j.snb.2019.127334 ↗
20. 10.1002/pen.2474010.1002/pen.24740 ↗
21. 10.1002/eem2.1262410.1002/eem2.12624 ↗
22. 10.1002/cssc.20130081810.1002/cssc.201300818 ↗
23. 10.1002/tcr.20200008810.1002/tcr.202000088 ↗
24. 10.1002/adma.20070137710.1002/adma.200701377 ↗
25. 10.1016/j.apcatb.2021.12026910.1016/j.apcatb.2021.120269 ↗
26. 10.1007/s12274-022-4298-210.1007/s12274-022-4298-2 ↗
27. 10.1088/1468-6996/9/4/04420810.1088/1468-6996/9/4/044208 ↗
28. 10.1002/adma.20230584910.1002/adma.202305849 ↗
29. 10.1016/j.snb.2017.06.01610.1016/j.snb.2017.06.016 ↗
30. 10.1016/j.snb.2023.13380110.1016/j.snb.2023.133801 ↗
31. 10.1016/j.snb.2022.13311410.1016/j.snb.2022.133114 ↗
32. 10.1016/j.snb.2022.13260310.1016/j.snb.2022.132603 ↗
33. 10.1021/acsami.6b1250110.1021/acsami.6b12501 ↗
34. 10.1524/zkri.220.5.567.6507510.1524/zkri.220.5.567.65075 ↗
35. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
36. 10.1016/j.rinp.2019.10264910.1016/j.rinp.2019.102649 ↗
37. 10.1016/j.jallcom.2021.16051010.1016/j.jallcom.2021.160510 ↗
38. 10.1016/j.apcatb.2010.03.04010.1016/j.apcatb.2010.03.040 ↗
39. 10.1016/j.surfcoat.2017.04.00710.1016/j.surfcoat.2017.04.007 ↗
40. 10.1016/j.apsusc.2012.05.15610.1016/j.apsusc.2012.05.156 ↗
41. 10.1016/j.tsf.2020.13824510.1016/j.tsf.2020.138245 ↗
42. 10.1098/rspa.1913.004010.1098/rspa.1913.0040 ↗
43. 10.1107/S056773947600155110.1107/S0567739476001551 ↗
44. 10.1016/j.surfin.2019.05.00710.1016/j.surfin.2019.05.007 ↗
45. 10.1016/j.snb.2019.12748910.1016/j.snb.2019.127489 ↗
46. 10.1111/jace.1581810.1111/jace.15818 ↗
47. 10.1002/smll.20231200610.1002/smll.202312006 ↗
48. 10.1016/j.vacuum.2022.11114910.1016/j.vacuum.2022.111149 ↗
49. 10.1016/j.ceramint.2015.02.06910.1016/j.ceramint.2015.02.069 ↗
50. 10.1016/j.jece.2024.11346410.1016/j.jece.2024.113464 ↗
51. 10.1016/j.apsusc.2023.15672910.1016/j.apsusc.2023.156729 ↗
52. 10.1016/j.apsusc.2015.12.02410.1016/j.apsusc.2015.12.024 ↗
53. 10.1016/j.physb.2018.02.02610.1016/j.physb.2018.02.026 ↗
54. 10.1016/j.optmat.2022.11220510.1016/j.optmat.2022.112205 ↗
55. 10.1023/A:101440581137110.1023/A:1014405811371 ↗