TiO 2 -Supported Cu-MOF Nanocomposites for Photoboosted Electrochemical CO 2 Reduction to Methane
Source abstract
Abstract
The photoelectrochemical reduction of carbon dioxide (PERCO 2 ) provides an efficient and sustainable pathway to transform CO 2 into value-added fuels by using solar energy. In this study, we report the rational design of TiO 2 -supported Cu-based metal–organic framework (Cu-MOF) nanocomposites (HKUST-1/TiO 2 ) that integrate semiconductor and porous architectures at the nanoscale for photoboosted electrochemical conversion of CO 2 to CH 4 . The composite was fabricated via a solvothermal method, yielding a nanoscale interface with uniformly dispersed TiO 2 domains anchored onto the HKUST-1 framework, forming intimate heterojunctions with abundant Cu redox-active sites. Comprehensive structural, morphological, and spectroscopic analyses confirmed the nanostructured morphology and intimate interfacial contact, which are critical for efficient charge transfer and broadened light-harvesting capability. The optimized HKUST-1/TiO 2 nanocomposite exhibits a Faradaic efficiency of ∼83 ± 2% for methane at −1.2 V vs RHE, accompanied by significant photocurrent enhancement and reduced charge transfer resistance. These superior photoelectrocatalytic properties arise from the synergistic interplay between TiO 2 semiconductor nanoparticles and the porous Cu-MOF matrix, which collectively promote efficient charge separation, directional electron transport, and selective CO 2 adsorption and activation. Notably, the catalyst maintains nearly 100% CH 4 selectivity over 6 h of continuous operation, indicating a stable and durable performance under aqueous conditions. Postreaction analyses further confirm the preservation of crystallinity and morphological integrity. This work underscores the importance of nanoscale heterointerface engineering in optimizing photoelectrocatalytic CO 2 conversion and establishes TiO 2 -Cu-MOF nanocomposites as robust, cost-effective materials for solar-driven carbon mitigation and renewable fuel generation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Photocatalysis Techniques · CO2 Reduction Techniques and Catalysts · Metal-Organic Frameworks: Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry
University of Kashmir
Govt. Degree College Tral
Indian Institute of Technology Delhi
Funding
Science and Engineering Research Board · Department of Science and Technology, Ministry of Science and Technology, India
References (53)
Show source-provided references
1. 10.1021/acsenergylett.0c0064510.1021/acsenergylett.0c00645 ↗
2. 10.1146/annurev-physchem-032511-14375910.1146/annurev-physchem-032511-143759 ↗
3. 10.1002/adma.20180471010.1002/adma.201804710 ↗
4. 10.1021/acscatal.0c0094710.1021/acscatal.0c00947 ↗
5. 10.1021/cs500697w10.1021/cs500697w ↗
6. 10.1002/adfm.20180869610.1002/adfm.201808696 ↗
7. 10.1016/j.apsusc.2019.07.12110.1016/j.apsusc.2019.07.121 ↗
8. 10.1016/j.apsusc.2018.05.12310.1016/j.apsusc.2018.05.123 ↗
9. 10.1016/j.apcatb.2018.02.04210.1016/j.apcatb.2018.02.042 ↗
10. 10.1002/adfm.20190425610.1002/adfm.201904256 ↗
11. 10.1016/1010-6030(93)80023-310.1016/1010-6030(93)80023-3 ↗
12. 10.1021/nl803258p10.1021/nl803258p ↗
13. 10.1039/C9TA00736A10.1039/C9TA00736A ↗
14. 10.1021/ja504478710.1021/ja5044787 ↗
15. 10.1021/ef500648k10.1021/ef500648k ↗
16. 10.1021/acsenergylett.8b0055310.1021/acsenergylett.8b00553 ↗
17. 10.1002/aenm.20190233810.1002/aenm.201902338 ↗
18. 10.1038/ncomms1543810.1038/ncomms15438 ↗
19. 10.1021/acsaem.9b0217810.1021/acsaem.9b02178 ↗
20. 10.1039/c2ee21234j10.1039/c2ee21234j ↗
21. 10.1021/acsnano.7b0125710.1021/acsnano.7b01257 ↗
22. 10.1021/ja301097810.1021/ja3010978 ↗
23. 10.1021/jacs.9b0623910.1021/jacs.9b06239 ↗
24. 10.1021/jacs.7b0182010.1021/jacs.7b01820 ↗
25. 10.1039/C5EE02657A10.1039/C5EE02657A ↗
26. 10.1021/acscatal.9b0141910.1021/acscatal.9b01419 ↗
27. 10.1021/acscatal.5b0175510.1021/acscatal.5b01755 ↗
28. 10.1021/jacs.3c0614610.1021/jacs.3c06146 ↗
29. 10.1021/acs.jpclett.3c0067210.1021/acs.jpclett.3c00672 ↗
30. 10.1021/acsami.6b1681710.1021/acsami.6b16817 ↗
31. 10.1002/anie.20180764710.1002/anie.201807647 ↗
32. 10.1039/c2ee22063f10.1039/c2ee22063f ↗
33. 10.1016/S1010-6030(03)00428-310.1016/S1010-6030(03)00428-3 ↗
34. 10.1021/acsaem.2c0323710.1021/acsaem.2c03237 ↗
35. 10.1021/jp711842210.1021/jp7118422 ↗
36. 10.1016/j.materresbull.2018.07.02510.1016/j.materresbull.2018.07.025 ↗
37. 10.1021/acsaem.4c0331510.1021/acsaem.4c03315 ↗
38. 10.1002/cctc.20250016310.1002/cctc.202500163 ↗
39. 10.1016/j.micromeso.2014.03.00410.1016/j.micromeso.2014.03.004 ↗
40. 10.1021/acs.chemrev.0c0048710.1021/acs.chemrev.0c00487 ↗
41. 10.1016/j.cej.2023.14322010.1016/j.cej.2023.143220 ↗
42. 10.1039/C9RA02860A10.1039/C9RA02860A ↗
43. 10.1039/C7CC02621H10.1039/C7CC02621H ↗
44. 10.1039/c2cp23708c10.1039/c2cp23708c ↗
45. 10.1039/C5RA23754H10.1039/C5RA23754H ↗
46. 10.1021/acs.iecr.9b0434910.1021/acs.iecr.9b04349 ↗
47. 10.1021/jp064290310.1021/jp0642903 ↗
48. 10.1021/acs.jpcc.9b0717110.1021/acs.jpcc.9b07171 ↗
49. 10.1016/j.apcatb.2017.12.01310.1016/j.apcatb.2017.12.013 ↗
50. 10.1016/j.cej.2022.13562210.1016/j.cej.2022.135622 ↗
51. 10.1016/j.apsusc.2019.07.19910.1016/j.apsusc.2019.07.199 ↗
52. 10.1002/advs.20241724710.1002/advs.202417247 ↗
53. 10.1021/acs.jpcc.8b0192810.1021/acs.jpcc.8b01928 ↗