SnO2 Nanobelts as a Chemiresistive Platform for an On-Chip Multisensory “Spectrometer” to Selectively Gauge Ions of Inert Gases
Source abstract
Abstract
The detection of inert gases presents a challenging task because these molecules do not react with most known sensor-based units aimed at environment monitoring. Here, we ionize these molecules in a low-potential discharge mode to force their interaction with semiconducting SnO 2 single-crystal nanobelts (NBs) deposited as a mat over a multielectrode chip and show the ion-induced resistivity changes similar to a conventional operation of the metal oxide sensor. In particular, the conductance of the percolating NB mats is significantly enhanced under irradiation with He +, Ne +, and Ar + ions at a low-pressure oxygen background. The phenomenon is well explained via ab initio calculations performed in the framework of density functional theory (DFT), which clarify the interaction of various ions with SnO 2 nanocrystals related primarily to the appearance of electronic states and redistribution of their density dependent on the kind of ions. The differences in ion interaction with the SnO 2 surface is the background for options to distinguish the inert gases with a SnO 2 NB-based multisensor array as a low-cost selective detector via transferring the variations in a charge exchange at the adsorbate/adsorbent interface into a varied chemiresistive vector signal like a (mass) spectrometer performs.
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
Department of Physics, Yuri Gagarin State Technical University of Saratov, ul. Polytechnicheskaya 77, 410054 Saratov, Russia
Institute of Physics, Saratov State University, ul. Astrakhanskaya 83, 410012 Saratov, Russia
Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia
Funding
Ministry of Science and Higher Education of the Russian Federation
References (53)
Show source-provided references
1. 10.1063/1.331826110.1063/1.3318261 ↗
2. 10.1038/s41566-023-01211-210.1038/s41566-023-01211-2 ↗
3. 10.1039/D3JA00125C10.1039/D3JA00125C ↗
4. 10.1016/0167-5729(93)90024-J10.1016/0167-5729(93)90024-J ↗
5. 10.1109/TNS.1979.432966210.1109/TNS.1979.4329662 ↗
6. 10.1097/00004032-200506000-0000810.1097/00004032-200506000-00008 ↗
7. 10.3390/chemosensors804010610.3390/chemosensors8040106 ↗
8. 10.1016/j.snb.2016.12.11710.1016/j.snb.2016.12.117 ↗
9. 10.1038/nature0177710.1038/nature01777 ↗
10. 10.1088/0957-4484/19/48/48571010.1088/0957-4484/19/48/485710 ↗
11. 10.1023/A:100672751622810.1023/A:1006727516228 ↗
12. 10.1016/j.tsf.2011.04.17910.1016/j.tsf.2011.04.179 ↗
13. 10.1016/j.carbon.2023.11855810.1016/j.carbon.2023.118558 ↗
14. 10.3390/nano1305085010.3390/nano13050850 ↗
15. 10.1021/acs.analchem.0c0447610.1021/acs.analchem.0c04476 ↗
16. 10.1016/j.mtadv.2020.10009910.1016/j.mtadv.2020.100099 ↗
17. 10.1016/j.progsurf.2005.09.00210.1016/j.progsurf.2005.09.002 ↗
18. 10.1063/1.150486710.1063/1.1504867 ↗
19. 10.1021/acssensors.3c0181010.1021/acssensors.3c01810 ↗
20. 10.1038/s41928-023-01107-710.1038/s41928-023-01107-7 ↗
21. 10.1038/s41467-024-45430-910.1038/s41467-024-45430-9 ↗
22. 10.1016/j.elspec.2023.14736610.1016/j.elspec.2023.147366 ↗
23. 10.1088/0953-8984/14/11/30210.1088/0953-8984/14/11/302 ↗
24. Oroya, J.; Martín, A.; Callejo, M.; García-Mota, M.; Marchesin, F. Pseudopotential and numerical atomic orbitals basis dataset. In SIMUNE Atomistics (www.simuneatomistics.com). Accessed on 1 September 2024.
25. 10.1080/10408436.2013.77250310.1080/10408436.2013.772503 ↗
26. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
27. 10.1002/jcc.2049510.1002/jcc.20495 ↗
28. 10.1063/1.338234410.1063/1.3382344 ↗
29. 10.1103/PhysRevLett.97.17020110.1103/PhysRevLett.97.170201 ↗
30. 10.1103/PhysRevB.31.620710.1103/PhysRevB.31.6207 ↗
31. 10.1103/PhysRevB.65.16540110.1103/PhysRevB.65.165401 ↗
32. 10.1016/j.cpc.2016.09.02210.1016/j.cpc.2016.09.022 ↗
33. 10.3762/bjnano.9.11710.3762/bjnano.9.117 ↗
34. 10.1063/1.132967210.1063/1.1329672 ↗
35. 10.1063/1.175397510.1063/1.1753975 ↗
36. 10.1007/978-1-4614-5395-6_1510.1007/978-1-4614-5395-6_15 ↗
37. 10.1021/nl071815+10.1021/nl071815+ ↗
38. 10.1016/S0167-9317(01)00553-610.1016/S0167-9317(01)00553-6 ↗
39. 10.1016/j.tsf.2013.03.05110.1016/j.tsf.2013.03.051 ↗
40. 10.1021/ja00207a00310.1021/ja00207a003 ↗
41. 10.1016/j.cej.2023.14593410.1016/j.cej.2023.145934 ↗
42. 10.1109/JSEN.2001.95483110.1109/JSEN.2001.954831 ↗
43. 10.1007/BF0032786510.1007/BF00327865 ↗
44. Wolkenstein T. · 199110.1007/978-1-4615-3656-7 ↗
45. 10.1063/1.12638110.1063/1.126381 ↗
46. 10.1103/PhysRevMaterials.2.05460410.1103/PhysRevMaterials.2.054604 ↗
47. 10.1038/s41467-024-47078-x10.1038/s41467-024-47078-x ↗
48. 10.1063/1.169929210.1063/1.1699292 ↗
49. 10.1016/S0081-1947(08)60336-710.1016/S0081-1947(08)60336-7 ↗
50. 10.1103/PhysRevB.38.207210.1103/PhysRevB.38.2072 ↗
51. 10.1021/nl060185t10.1021/nl060185t ↗
52. 10.1038/299352a010.1038/299352a0 ↗
53. 10.1021/cr068116m10.1021/cr068116m ↗