journal article·2024-11-22

Carbon Monoxide Gas Sensor Based on Hydrothermally Synthesized Pd–CuO Nanorods/SnSe2 Nanoflower Heterojunctions

Liang Zhu, Haozhi Wang, Changkun Qiu, Mingjun Li, Qingrun Li, Fei An, Yifan Song, Tian Wang, Gongao Jiao, Zuozhe Ding, Zhe Yang, Dongzhi Zhang

ACS Applied Nano Materials· Volume 7· Issue 22
Publisher page

Abstract

Gas-sensitive materials play a decisive role in the performance of gas sensors, and room-temperature gas-sensitive materials can effectively reduce the power consumption of sensors. Materials such as metal oxides and selenides have good sensitivity characteristics at room temperature, making them the primary choice for constructing gas-sensitive materials. In this work, Pd–CuO nanorods and SnSe 2 nanoflower heterojunction composites were synthesized successfully. The characterizations confirmed that Pd–CuO nanorods were formed on the SnSe 2 layer. Compared with interfering gas, the Pd–CuO/SnSe 2 sensor exhibited the highest response to CO, which indicated that the selectivity of the sensor to CO was significantly enhanced. The sensor showed highly stable and reversible response recovery characteristics, with essentially no drift observed in the dynamic response to CO in three consecutive cycles. The sensor’s exceptional performance is mainly attributed to the heterojunction effect, which enhances charge transfer and CO adsorption. Furthermore, the response mechanism of the composite gas-sensitive material was further explored in conjunction with first-principles density functional theory.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Transition Metal Oxide Nanomaterials · ZnO doping and properties

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

Affiliations

State Key Laboratory of Chemical Safety, SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao 266104, China

College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China

Funding

Natural Science Foundation of Qingdao Municipality · Taishan Scholar Project of Shandong Province · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Natural Science Foundation of Shandong Province · State Key Laboratory of Deep Oil and Gas, China University of Petroleum East China · State Key Laboratory of Chemical Safety

References (50)

Show source-provided references
1. 10.1016/j.jhazmat.2022.13004110.1016/j.jhazmat.2022.130041 ↗
2. 10.1016/j.cej.2024.15422610.1016/j.cej.2024.154226 ↗
3. 10.1016/j.jcis.2022.07.05210.1016/j.jcis.2022.07.052 ↗
4. 10.1016/j.cej.2021.13428010.1016/j.cej.2021.134280 ↗
5. 10.1016/j.nanoen.2024.10997810.1016/j.nanoen.2024.109978 ↗
6. 10.1016/j.snb.2022.13271710.1016/j.snb.2022.132717 ↗
7. 10.3390/nano1223420310.3390/nano12234203 ↗
8. 10.1016/j.surfin.2022.10226110.1016/j.surfin.2022.102261 ↗
9. 10.1016/j.apsusc.2022.15471210.1016/j.apsusc.2022.154712 ↗
10. 10.1016/j.snb.2022.13282310.1016/j.snb.2022.132823 ↗
11. 10.1016/j.jallcom.2021.16347010.1016/j.jallcom.2021.163470 ↗
12. 10.1016/j.snb.2022.13262010.1016/j.snb.2022.132620 ↗
13. 10.1016/j.snb.2021.13086710.1016/j.snb.2021.130867 ↗
14. 10.1016/j.snb.2021.13131610.1016/j.snb.2021.131316 ↗
15. 10.1016/j.snb.2022.13261510.1016/j.snb.2022.132615 ↗
16. 10.3390/nano1219326710.3390/nano12193267 ↗
17. 10.1021/acsanm.2c0243610.1021/acsanm.2c02436 ↗
18. 10.1016/j.snb.2022.13223610.1016/j.snb.2022.132236 ↗
19. 10.1016/j.ces.2022.11819110.1016/j.ces.2022.118191 ↗
20. 10.1007/s12598-022-02031-z10.1007/s12598-022-02031-z ↗
21. 10.1109/TIM.2021.309785810.1109/TIM.2021.3097858 ↗
22. 10.1016/j.nanoen.2024.10975310.1016/j.nanoen.2024.109753 ↗
23. 10.1016/j.snb.2022.13223210.1016/j.snb.2022.132232 ↗
24. 10.1016/j.snb.2021.12949310.1016/j.snb.2021.129493 ↗
25. 10.1039/D2RA01532C10.1039/D2RA01532C ↗
26. 10.1016/j.snb.2021.13089010.1016/j.snb.2021.130890 ↗
27. 10.1021/acsami.0c0790110.1021/acsami.0c07901 ↗
28. 10.1016/j.physe.2022.11514710.1016/j.physe.2022.115147 ↗
29. 10.1016/j.jhazmat.2021.12806110.1016/j.jhazmat.2021.128061 ↗
30. 10.3390/chemosensors1010040110.3390/chemosensors10100401 ↗
31. 10.1016/j.snb.2019.02.00810.1016/j.snb.2019.02.008 ↗
32. 10.1016/j.snb.2021.13083010.1016/j.snb.2021.130830 ↗
33. 10.1016/j.apsusc.2022.15305210.1016/j.apsusc.2022.153052 ↗
34. 10.1039/D2TA03333J10.1039/D2TA03333J ↗
35. 10.1039/D2RA00602B10.1039/D2RA00602B ↗
36. 10.1016/j.apt.2022.10352910.1016/j.apt.2022.103529 ↗
37. 10.1002/app.4411510.1002/app.44115 ↗
38. 10.1016/j.snb.2017.07.08310.1016/j.snb.2017.07.083 ↗
39. 10.1016/j.sna.2021.11300410.1016/j.sna.2021.113004 ↗
40. 10.1016/j.apsusc.2021.15027210.1016/j.apsusc.2021.150272 ↗
41. 10.1021/acssensors.2c0159110.1021/acssensors.2c01591 ↗
42. 10.3390/nano1111304010.3390/nano11113040 ↗
43. 10.1016/j.snb.2022.13192610.1016/j.snb.2022.131926 ↗
44. 10.1016/j.snb.2022.13260410.1016/j.snb.2022.132604 ↗
45. 10.1016/j.cej.2022.13982410.1016/j.cej.2022.139824 ↗
46. 10.3390/nano1111315110.3390/nano11113151 ↗
47. 10.3390/chemosensors1008032910.3390/chemosensors10080329 ↗
48. 10.1016/j.apsusc.2021.15214110.1016/j.apsusc.2021.152141 ↗
49. 10.1016/j.apsusc.2022.15552710.1016/j.apsusc.2022.155527 ↗
50. 10.1016/j.snb.2021.13119710.1016/j.snb.2021.131197 ↗