journal article·2024-07-26

High-Performance Ammonia Gas Sensor Based on a Catalytic Ruthenium- Gated Field-Effect Transistor

Xinxin He, Ping Guo, Xuanyu Ren, Xuyang An, Yuan Li, Shuai Liang, Zhenlong Wang, Jia Zhang

ACS Applied Nano Materials· Volume 7· Issue 14
Publisher page

Abstract

The catalytic performance of ruthenium (Ru) in the synthesis and decomposition of ammonia (NH 3 ) has attracted extensive attention and research. Considering its selective adsorption and excellent catalytic effect toward NH 3, it holds significant potential in the field of ammonia detection. In this study, we present a high-performance NH 3 sensor that was based on a catalytic metal gate field-effect transistor (FET) utilizing Ru nanoparticles as the sensitive gate (Ru-FET). The sensor exhibits a high response of 11.3% to 1 ppm of NH 3 at room temperature, with quick response and recovery processes of 8 and 85 s, respectively. Meanwhile, the sensor possesses a detection range of 0.4–20 ppm along with good repeatability and selectivity. The exceptional performance of the Ru-FET sensor suggests the potential of judiciously combining sensitive materials and sensor structures to manufacture high-performance NH 3 sensors operating at room temperature.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Analytical Chemistry and Sensors · Advanced Chemical Sensor Technologies

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

Affiliations

Key Laboratory of Microsystems and Microstructure Manufacturing, Ministry of Education, Harbin Institute of Technology, Harbin 150080, China

Funding

National Key Research and Development Program of China · Natural Science Foundation of Chongqing Municipality · Natural Science Foundation of Heilongjiang Province · National Natural Science Foundation of China

References (66)

Show source-provided references
1. 10.1016/j.jpowsour.2007.08.11710.1016/j.jpowsour.2007.08.117 ↗
2. 10.1002/er.623210.1002/er.6232 ↗
3. 10.1002/adma.20200572110.1002/adma.202005721 ↗
4. 10.1016/j.snb.2004.11.05410.1016/j.snb.2004.11.054 ↗
5. 10.1016/j.scitotenv.2023.16903610.1016/j.scitotenv.2023.169036 ↗
6. 10.1109/JSEN.2016.251708510.1109/JSEN.2016.2517085 ↗
7. 10.1016/j.apsusc.2014.05.07510.1016/j.apsusc.2014.05.075 ↗
8. 10.1007/s10853-023-08692-010.1007/s10853-023-08692-0 ↗
9. 10.1021/ic990934s10.1021/ic990934s ↗
10. 10.1016/j.snb.2020.12876510.1016/j.snb.2020.128765 ↗
11. 10.1038/ki.1997.32410.1038/ki.1997.324 ↗
12. 10.1149/1945-7111/ab67a610.1149/1945-7111/ab67a6 ↗
13. 10.1021/acssensors.0c0176910.1021/acssensors.0c01769 ↗
14. 10.1016/j.mssp.2020.10554610.1016/j.mssp.2020.105546 ↗
15. 10.1088/2631-7990/acc76d10.1088/2631-7990/acc76d ↗
16. 10.1039/C8MH01365A10.1039/C8MH01365A ↗
17. 10.1021/acsanm.0c0201110.1021/acsanm.0c02011 ↗
18. 10.1021/acsanm.0c0323910.1021/acsanm.0c03239 ↗
19. 10.1016/j.snb.2016.08.16310.1016/j.snb.2016.08.163 ↗
20. 10.1016/j.electacta.2013.12.17110.1016/j.electacta.2013.12.171 ↗
21. 10.1016/j.snb.2022.13285810.1016/j.snb.2022.132858 ↗
22. 10.1088/1402-4896/acdc6410.1088/1402-4896/acdc64 ↗
23. 10.1021/acsami.4c0113610.1021/acsami.4c01136 ↗
24. 10.1021/acsanm.0c0257710.1021/acsanm.0c02577 ↗
25. 10.1016/j.snb.2017.10.03210.1016/j.snb.2017.10.032 ↗
26. 10.1016/j.jallcom.2019.03.08410.1016/j.jallcom.2019.03.084 ↗
27. 10.1016/j.mseb.2023.11678110.1016/j.mseb.2023.116781 ↗
28. 10.3389/fmats.2020.0021510.3389/fmats.2020.00215 ↗
29. 10.1016/j.snb.2017.12.02210.1016/j.snb.2017.12.022 ↗
30. 10.1016/j.ccr.2022.21451710.1016/j.ccr.2022.214517 ↗
31. 10.1002/adfm.20190013810.1002/adfm.201900138 ↗
32. 10.1038/nmat76810.1038/nmat768 ↗
33. 10.1016/j.snb.2006.09.04610.1016/j.snb.2006.09.046 ↗
34. 10.1016/j.carbon.2021.04.07610.1016/j.carbon.2021.04.076 ↗
35. 10.1021/nn400026u10.1021/nn400026u ↗
36. 10.1021/acsami.1c1704410.1021/acsami.1c17044 ↗
37. 10.1007/s11432-021-3286-310.1007/s11432-021-3286-3 ↗
38. 10.1063/1.139052310.1063/1.1390523 ↗
39. 10.1021/jp049496n10.1021/jp049496n ↗
40. 10.1021/acs.jpcc.7b0726810.1021/acs.jpcc.7b07268 ↗
41. 10.1016/S1872-2067(10)60097-610.1016/S1872-2067(10)60097-6 ↗
42. 10.1021/acsami.6b0858910.1021/acsami.6b08589 ↗
43. 10.1021/acssensors.0c0236910.1021/acssensors.0c02369 ↗
44. 10.1088/2631-7990/ad2e1210.1088/2631-7990/ad2e12 ↗
45. 10.1021/ja902587k10.1021/ja902587k ↗
46. 10.1016/j.jcis.2021.07.03810.1016/j.jcis.2021.07.038 ↗
47. 10.1002/adfm.20221251410.1002/adfm.202212514 ↗
48. 10.1016/j.ceramint.2022.12.26710.1016/j.ceramint.2022.12.267 ↗
49. 10.1021/acs.langmuir.9b0015410.1021/acs.langmuir.9b00154 ↗
50. 10.1039/C9RA04382A10.1039/C9RA04382A ↗
51. 10.1016/j.apsusc.2018.12.10110.1016/j.apsusc.2018.12.101 ↗
52. 10.1021/acs.analchem.2c0276010.1021/acs.analchem.2c02760 ↗
53. 10.1007/s12598-020-01565-410.1007/s12598-020-01565-4 ↗
54. 10.1016/j.snb.2021.13073810.1016/j.snb.2021.130738 ↗
55. Khan F. U. · 2021 · 1
56. 10.1109/JSEN.2019.295078110.1109/JSEN.2019.2950781 ↗
57. 10.1021/acsomega.9b0218510.1021/acsomega.9b02185 ↗
58. 10.1016/j.vacuum.2019.10886110.1016/j.vacuum.2019.108861 ↗
59. 10.1016/j.matchemphys.2019.01.06110.1016/j.matchemphys.2019.01.061 ↗
60. 10.1016/j.apsusc.2022.15268910.1016/j.apsusc.2022.152689 ↗
61. 10.1039/c1jm13037d10.1039/c1jm13037d ↗
62. 10.1021/acs.nanolett.6b0204610.1021/acs.nanolett.6b02046 ↗
63. 10.1088/0957-4484/22/5/05550110.1088/0957-4484/22/5/055501 ↗
64. 10.1021/nl062742h10.1021/nl062742h ↗
65. 10.1038/s41467-022-31498-810.1038/s41467-022-31498-8 ↗
66. 10.1016/0039-6028(92)90897-F10.1016/0039-6028(92)90897-F ↗