journal article·2024-10-22

Room Temperature Real Air Highly Sensitive and Selective Detection of Ethanol and Ammonia Molecules Using Tin Nanoparticle-Functionalized Graphene Sensors

Manoharan Muruganathan, Md. Zahidul Islam, Afsal Kareekunnan, Yosuke Onda, Masashi Hattori, Hiroshi Mizuta

ACS Applied Electronic Materials· Volume 6· Issue 10
Publisher page

Abstract

Graphene, with its high surface area, is an important sensing material but lacks selectivity. As tin oxide has a higher selectivity for ethanol, we fabricated a graphene field-effect transistor (GFET) sensor functionalized with tin nanoparticles (Sn NPs) to enhance its selectivity and sensitivity for ethanol detection. Among 200 nm, 500 nm, 1 μm, and 2 μm channel sizes, 1 nm thickness Sn NPs functionalized on 200 nm GFET sensors exhibited high sensitivity and selective detection of ethanol and ammonia among five tested gases in a real air environment. Moreover, they demonstrated high sensitivity for ethanol and ammonia, detecting concentrations as low as 100 ppb at room temperature. The postfabrication thermal annealing facilitates the formation of Sn NP clusters and voids within the smaller 200 nm graphene channel, contributing to the sensor’s high sensitivity. Furthermore, the catalytic reaction of ethanol and ammonia molecules with oxygen molecules in the presence of Sn NPs releases electrons, which are reflected in n-doping in the graphene sensor measurements. The potential of this highly sensitive and selective ethanol and ammonia detection of graphene sensors can be utilized with machine learning techniques in the sensor cluster to identify different gases.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Graphene research and applications · Electrochemical sensors and biosensors

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

Affiliations

School of Materials Science, Japan Advanced Institute of Science and Technology, Nomi 923-1211, Japan

TAIYO YUDEN CO., LTD. R&D Center, 5607-2, Nakamuroda-machi, Takasaki-shi, Gunma 370-3347, Japan

School of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom

Funding

TAIYO YUDEN CO., LTD.

References (40)

Show source-provided references
1. 10.1021/acsinfecdis.7b0008810.1021/acsinfecdis.7b00088 ↗
2. 10.1021/acs.chemrev.8b0071910.1021/acs.chemrev.8b00719 ↗
3. 10.1039/C9NR05532K10.1039/C9NR05532K ↗
4. 10.1111/j.1530-0277.2000.tb02006.x10.1111/j.1530-0277.2000.tb02006.x ↗
5. 10.1016/j.rechem.2022.10050210.1016/j.rechem.2022.100502 ↗
6. 10.1080/10473289.1999.1046383110.1080/10473289.1999.10463831 ↗
7. 10.1016/j.jchromb.2014.04.00610.1016/j.jchromb.2014.04.006 ↗
8. 10.3390/chemosensors1003010910.3390/chemosensors10030109 ↗
9. 10.1016/j.cclet.2020.01.00410.1016/j.cclet.2020.01.004 ↗
10. 10.1038/nmat184910.1038/nmat1849 ↗
11. Muruganathan M. · 2018 · 1
12. 10.7567/APEX.8.01510110.7567/APEX.8.015101 ↗
13. 10.1016/j.carbon.2017.05.09710.1016/j.carbon.2017.05.097 ↗
14. 10.1038/nmat196710.1038/nmat1967 ↗
15. 10.1103/RevModPhys.81.10910.1103/RevModPhys.81.109 ↗
16. 10.1002/smll.20190302510.1002/smll.201903025 ↗
17. 10.1021/acssensors.0c0040310.1021/acssensors.0c00403 ↗
18. 10.7567/JJAP.56.04CK0510.7567/JJAP.56.04CK05 ↗
19. 10.1126/sciadv.150151810.1126/sciadv.1501518 ↗
20. 10.1021/acsami.0c1722510.1021/acsami.0c17225 ↗
21. 10.1021/acsami.1c1913810.1021/acsami.1c19138 ↗
22. 10.1021/acsomega.0c0286110.1021/acsomega.0c02861 ↗
23. 10.1039/c2nr31131c10.1039/c2nr31131c ↗
24. 10.1039/C8NR09076A10.1039/C8NR09076A ↗
25. 10.1039/D3NA00423F10.1039/D3NA00423F ↗
26. 10.1016/j.snb.2017.10.02910.1016/j.snb.2017.10.029 ↗
27. 10.1016/j.snb.2023.13407210.1016/j.snb.2023.134072 ↗
28. 10.1021/jp108732j10.1021/jp108732j ↗
29. 10.2171/jao.51.33810.2171/jao.51.338 ↗
30. 10.1016/j.carbon.2022.01.02310.1016/j.carbon.2022.01.023 ↗
31. 10.1021/ac00095a03210.1021/ac00095a032 ↗
32. 10.1016/j.scriptamat.2006.09.00110.1016/j.scriptamat.2006.09.001 ↗
33. 10.1016/j.snb.2023.13338310.1016/j.snb.2023.133383 ↗
34. 10.1002/smll.20110143010.1002/smll.201101430 ↗
35. 10.1021/jp068835510.1021/jp0688355 ↗
36. 10.1016/j.snb.2015.06.10410.1016/j.snb.2015.06.104 ↗
37. 10.1021/acssensors.7b0089610.1021/acssensors.7b00896 ↗
38. 10.1016/j.snb.2020.12780110.1016/j.snb.2020.127801 ↗
39. 10.1016/j.jallcom.2021.16129910.1016/j.jallcom.2021.161299 ↗
40. 10.1039/D3MH01078C10.1039/D3MH01078C ↗