Integrated Passive Device-Based Gas Sensor Combined with PANI/SnO2 Composites for Ammonia Detection
Source abstract
Abstract
This paper investigates the application of microwave-transduction-based sensors in gas detection. An optimized microwave resonator sensor based on integrated passive device (IPD) technology coated with PANI/SnO 2 composites that changes its dielectric properties under ammonia (NH 3 ) exposure is developed. PANI/SnO 2 is an organic–inorganic composite that exhibits good response and recovery capability to ammonia at room temperature, establishing the foundation for a microwave detection scheme. The performance of the gas sensor under a 10–120 ppm ammonia environment is studied by observing the microwave parameters of the microwave sensor, with the frequency shifts of 0.299 and 0.925 MHz/ppm at low (10–60 ppm) and high (60–120 ppm) concentration levels at room temperature (20 °C) and 40% relative humidity (RH). In addition, a capacitive device based on micro–nano processing technology is fabricated to study the gas sensing mechanism and observe the relationship between PANI/SnO 2 composites under different ammonia environments and the variation of dielectric properties.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Acoustic Wave Resonator Technologies · Gas Sensing Nanomaterials and Sensors · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Internet of Things Engineering, Institute of Advanced Technology, Jiangnan University, Wuxi 214122, China
Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
Funding
Jiangsu Provincial Department of Education · China Postdoctoral Science Foundation · National Natural Science Foundation of China · Key Laboratory of Nanodevices and Applications, Chinese Academy of Sciences
References (35)
Show source-provided references
1. 10.1016/j.saa.2022.12209210.1016/j.saa.2022.122092 ↗
2. 10.3390/polym1503073910.3390/polym15030739 ↗
3. 10.1016/j.snb.2022.13296610.1016/j.snb.2022.132966 ↗
4. 10.1016/j.snb.2022.13296410.1016/j.snb.2022.132964 ↗
5. 10.1021/acsami.6b0834410.1021/acsami.6b08344 ↗
6. 10.1016/j.snb.2021.13085410.1016/j.snb.2021.130854 ↗
7. 10.1111/ijac.1346510.1111/ijac.13465 ↗
8. 10.1021/acssensors.0c0158910.1021/acssensors.0c01589 ↗
9. 10.3390/ma1308193210.3390/ma13081932 ↗
10. 10.1039/c8ra04243h10.1039/c8ra04243h ↗
11. 10.1016/j.carbon.2021.07.03110.1016/j.carbon.2021.07.031 ↗
12. 10.3390/electronics1024305710.3390/electronics10243057 ↗
13. 10.1016/j.sse.2017.04.00710.1016/j.sse.2017.04.007 ↗
14. 10.1109/lmwc.2016.257481910.1109/lmwc.2016.2574819 ↗
15. 10.1016/j.snb.2020.12829310.1016/j.snb.2020.128293 ↗
16. 10.1016/j.snb.2021.13006910.1016/j.snb.2021.130069 ↗
17. 10.1016/j.snb.2020.12892310.1016/j.snb.2020.128923 ↗
18. 10.1016/j.ccr.2022.21451710.1016/j.ccr.2022.214517 ↗
19. 10.1016/j.bios.2022.11499910.1016/j.bios.2022.114999 ↗
20. 10.1016/j.snb.2022.13244110.1016/j.snb.2022.132441 ↗
21. 10.1039/d2mh01466a10.1039/d2mh01466a ↗
22. 10.1016/s0925-4005(01)00984-410.1016/s0925-4005(01)00984-4 ↗
23. 10.1016/j.snb.2009.02.01210.1016/j.snb.2009.02.012 ↗
24. 10.1109/access.2019.291895010.1109/access.2019.2918950 ↗
25. 10.1109/4.79262010.1109/4.792620 ↗
26. 10.1016/0925-4005(91)80182-j10.1016/0925-4005(91)80182-j ↗
27. 10.1063/1.296811510.1063/1.2968115 ↗
28. 10.1016/j.jallcom.2021.16082610.1016/j.jallcom.2021.160826 ↗
29. 10.1002/aenm.20160111110.1002/aenm.201601111 ↗
30. 10.1021/acsami.6b1588010.1021/acsami.6b15880 ↗
31. 10.1016/j.sna.2019.11166210.1016/j.sna.2019.111662 ↗
32. 10.1109/tmtt.2016.262331110.1109/tmtt.2016.2623311 ↗
33. 10.1016/s0925-4005(01)00562-710.1016/s0925-4005(01)00562-7 ↗
34. 10.1007/s10904-019-01208-x10.1007/s10904-019-01208-x ↗
35. 10.1016/j.snb.2022.13288210.1016/j.snb.2022.132882 ↗