journal article·2024-04-12

Graphene Oxide Covered WO3 Nanosheet Arrays as Photoelectrode for Photoelectrochemical Detection of Trace H2O2

Yuping Du, Mengge Jia, Xin Zhang, Minzhi Ma, Xinfeng Zhang, Caixia Li, Saike Wang, Jiawei Zhang, Dapeng Li, Weiwei He, Suxiang Ge, Zhi Zheng, Wenjun Fa

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

Abstract

Accurate detection of trace hydrogen peroxide (H 2 O 2 ) by the anode photoelectrochemical (PEC) method is highly attractive in the modern chemical industry. However, the sluggish hole migration kinetics in photocatalysts are severely unfavorable for hole enrichment on the photoanodic surface, limiting the method’s sensitivity and detection limit in practical applications. Herein, we proposed graphene oxide (GO) with high conductivity as cocatalyst to capture and aggregate hole tactics for tackling this formidable mission. As a proof of concept, GO covered tungsten trioxide (WO 3 ) nanosheet arrays as photoelectrode were selected and cast as a prototype. The as-synthesized WO 3 nanosheet only showed a thickness of 120–140 nm. Optical and structural characterizations demonstrate that GO was validated to accelerate the oxidation of H 2 O 2 to O 2 rather than • OH by improving the hole density on the surface of GO/WO 3 and reducing the overpotential of H 2 O 2 decomposition. Subsequently, it helps to boost the oxidation current of H 2 O 2 on the GO/WO 3 photoanode (24.7 μA cm −2 in 2 mM H 2 O 2 ) at a lower potential of 0.7 V vs RHE. As a result, the lower minimum detection limit and sensitivity of H 2 O 2 detection by the GO/WO 3 photoanode are up to 0.1 mM and 8.14 μA cm −2 mM −1, respectively, which are 0.25 (0.4 mM) and 2.91 (2.79 μA cm −2 mM −1 ) times sensitive than that of WO 3 photoanode. This work affords a strategy to boost the sensitivity and detection limit of trace H 2 O 2 detection, which may have applications in biological analysis and the early detection of diseases.
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Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Nanomaterials in Catalysis · Electrochemical sensors and biosensors

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

Affiliations

College of Material Science and Engineering, Zhengzhou University, Zhengzhou, Henan 450001, PR China

Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, PR China

School of Materials Science and Engineering, North China University of Water Resources and Electric Power, Henan 450045, PR China

Funding

Xuchang University · National Natural Science Foundation of China · Key Research and Develop and Promotion Projects of Henan Province

References (55)

Show source-provided references
1. 10.1021/acssensors.1c0232210.1021/acssensors.1c02322 ↗
2. 10.1021/acsami.3c0531410.1021/acsami.3c05314 ↗
3. 10.1016/j.snr.2022.10007910.1016/j.snr.2022.100079 ↗
4. 10.1016/j.jallcom.2019.15224110.1016/j.jallcom.2019.152241 ↗
5. 10.1016/j.snb.2021.13120110.1016/j.snb.2021.131201 ↗
6. 10.1016/j.snb.2023.13354010.1016/j.snb.2023.133540 ↗
7. 10.1021/acssuschemeng.1c0072310.1021/acssuschemeng.1c00723 ↗
8. 10.1016/j.aca.2022.33993910.1016/j.aca.2022.339939 ↗
9. 10.1016/j.jallcom.2020.15832310.1016/j.jallcom.2020.158323 ↗
10. 10.1021/acsami.2c1953110.1021/acsami.2c19531 ↗
11. 10.1016/j.cej.2022.13658610.1016/j.cej.2022.136586 ↗
12. 10.1039/D0TB02440F10.1039/D0TB02440F ↗
13. 10.1021/acsami.0c1514710.1021/acsami.0c15147 ↗
14. 10.1016/j.jelechem.2022.11626210.1016/j.jelechem.2022.116262 ↗
15. 10.1021/acs.analchem.2c0410110.1021/acs.analchem.2c04101 ↗
16. 10.1007/s40097-021-00455-010.1007/s40097-021-00455-0 ↗
17. 10.1016/j.jece.2022.10720810.1016/j.jece.2022.107208 ↗
18. 10.1016/j.jhazmat.2021.12620110.1016/j.jhazmat.2021.126201 ↗
19. 10.1016/j.talanta.2021.12255110.1016/j.talanta.2021.122551 ↗
20. 10.1016/j.jes.2020.10.01910.1016/j.jes.2020.10.019 ↗
21. 10.1016/j.jece.2022.10740410.1016/j.jece.2022.107404 ↗
22. 10.1039/D3EE00987D10.1039/D3EE00987D ↗
23. 10.1002/advs.20230256810.1002/advs.202302568 ↗
24. 10.1002/smll.20230154010.1002/smll.202301540 ↗
25. 10.1016/j.snb.2021.13110810.1016/j.snb.2021.131108 ↗
26. 10.1016/j.snb.2017.04.17310.1016/j.snb.2017.04.173 ↗
27. 10.1016/j.snb.2022.13191410.1016/j.snb.2022.131914 ↗
28. 10.1016/j.electacta.2021.13785110.1016/j.electacta.2021.137851 ↗
29. 10.1016/j.cej.2023.14490010.1016/j.cej.2023.144900 ↗
30. 10.1016/j.cej.2023.14564910.1016/j.cej.2023.145649 ↗
31. 10.1016/j.bios.2022.11436110.1016/j.bios.2022.114361 ↗
32. 10.1016/j.snb.2022.13298110.1016/j.snb.2022.132981 ↗
33. 10.1021/acscatal.3c0121010.1021/acscatal.3c01210 ↗
34. 10.1039/D1TA07403B10.1039/D1TA07403B ↗
35. 10.1002/anie.20210475410.1002/anie.202104754 ↗
36. 10.1021/acsami.0c0016310.1021/acsami.0c00163 ↗
37. 10.1016/j.bios.2016.05.01510.1016/j.bios.2016.05.015 ↗
38. 10.1021/acsami.2c0460810.1021/acsami.2c04608 ↗
39. 10.1016/j.bios.2022.11445210.1016/j.bios.2022.114452 ↗
40. 10.1039/D2NR06617C10.1039/D2NR06617C ↗
41. 10.1016/j.seppur.2022.12217410.1016/j.seppur.2022.122174 ↗
42. 10.1016/j.apcatb.2018.08.02910.1016/j.apcatb.2018.08.029 ↗
43. 10.1016/j.jenvman.2022.11675810.1016/j.jenvman.2022.116758 ↗
44. 10.1016/j.electacta.2018.09.16410.1016/j.electacta.2018.09.164 ↗
45. 10.1016/j.carbon.2018.10.00910.1016/j.carbon.2018.10.009 ↗
46. 10.1016/j.apcatb.2023.12262610.1016/j.apcatb.2023.122626 ↗
47. 10.1021/acsami.1c2003810.1021/acsami.1c20038 ↗
48. 10.1016/j.electacta.2020.13738810.1016/j.electacta.2020.137388 ↗
49. 10.1016/j.jechem.2022.12.05510.1016/j.jechem.2022.12.055 ↗
50. 10.1016/j.jhazmat.2021.12517510.1016/j.jhazmat.2021.125175 ↗
51. 10.1016/j.apsusc.2020.14780410.1016/j.apsusc.2020.147804 ↗
52. 10.1021/jp300255h10.1021/jp300255h ↗
53. 10.1016/j.apsusc.2023.15656810.1016/j.apsusc.2023.156568 ↗
54. 10.1039/D0TC01188F10.1039/D0TC01188F ↗
55. 10.1021/acsami.0c0178110.1021/acsami.0c01781 ↗