Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO2 and Au/TiO2 Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase
Source abstract
Abstract
Efficient mass transfer and light utilization are essential for high photocatalytic production rates. Here, we present a hierarchical three-dimensional (3D)-printed aerogel photocatalyst that unites both aspects by taking inspiration from the light scattering in clouds during photochemical processes and from mass transfer in plants during photosynthesis. We combine the geometric freedom of additive manufacturing with computational fluid dynamics and Monte Carlo simulations to guide the implementation of a self-supported aerogel in a continuous gas flow reactor. Here, 3D microstructuring reduced the pressure drop of a monolithic aerogel by 5 orders of magnitude without compromising the gas permeation and the light-harvesting efficiency of the intrinsic nanoporous material. We match the macroscopic thickness with the ultraviolet (UV) light penetration depth and show that the 3D aerogel of 1.1 mm thickness improves photocatalytic hydrogen production rates relative to the nanoparticle powder by a factor of five from 1.3 to 6.6 μmol g –1 h –1 for TiO 2 and from 30.0 to 141.8 μmol g –1 h –1 for Au/TiO 2, respectively. Ultimately, our approach can be applied for other nanomaterials to boost the overall performance of a variety of photochemical processes and reactor designs.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Photocatalysis Techniques · Catalytic Processes in Materials Science · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute for Nanostructure and Solid State Physics, Center for Hybrid Nanostructures (CHyN), Luruper Chaussee 149, 22761 Hamburg, Germany
The Hamburg Centre for Ultrafast Imaging, Luruper Chaussee 149, 22761 Hamburg, Germany
Institute for Theoretical Physics, University of Hamburg, Notkestraße 9-11, 22607 Hamburg, Germany
Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, The Netherlands
Funding
Bundesministerium für Bildung und Forschung · Deutsche Forschungsgemeinschaft
References (53)
Show source-provided references
1. 10.1073/pnas.060339510310.1073/pnas.0603395103 ↗
2. 10.1021/cm702420310.1021/cm7024203 ↗
3. 10.1039/B800582F10.1039/B800582F ↗
4. 10.1021/cr500008u10.1021/cr500008u ↗
5. 10.1021/cr500073810.1021/cr5000738 ↗
6. 10.1039/c2cs35019j10.1039/c2cs35019j ↗
7. 10.1002/anie.20100605710.1002/anie.201006057 ↗
8. 10.1021/cr100164510.1021/cr1001645 ↗
9. 10.1039/C9NH00380K10.1039/C9NH00380K ↗
10. Ozin, G.; Kant, P. Will industrial-scale photocatalysis see the light of day? 2022 https://www.advancedsciencenews.com/will-industrial-scale-photocatalysis-see-the-light-of-day/. (accessed May 16, 2022).
11. 10.1002/advs.20170018710.1002/advs.201700187 ↗
12. 10.1002/advs.20210536310.1002/advs.202105363 ↗
13. 10.1002/admt.20210067210.1002/admt.202100672 ↗
14. 10.1002/adma.20090203910.1002/adma.200902039 ↗
15. 10.1111/j.1365-3040.1996.tb00237.x10.1111/j.1365-3040.1996.tb00237.x ↗
16. 10.1105/tpc.105.03503010.1105/tpc.105.035030 ↗
17. 10.1029/JC087iC07p0486310.1029/JC087iC07p04863 ↗
18. 10.1111/j.1469-8137.2008.02368.x10.1111/j.1469-8137.2008.02368.x ↗
19. 10.1111/j.1469-8137.1994.tb04244.x10.1111/j.1469-8137.1994.tb04244.x ↗
20. 10.1002/adfm.20080051910.1002/adfm.200800519 ↗
21. 10.1002/adfm.20120059110.1002/adfm.201200591 ↗
22. 10.1021/cr500201c10.1021/cr500201c ↗
23. 10.1002/adfm.20070107310.1002/adfm.200701073 ↗
24. 10.1002/anie.20070491910.1002/anie.200704919 ↗
25. 10.1038/s41467-020-20613-210.1038/s41467-020-20613-2 ↗
26. 10.1039/c3cp52570h10.1039/c3cp52570h ↗
27. 10.1039/D1TA05194F10.1039/D1TA05194F ↗
28. 10.1039/C7TA09227J10.1039/C7TA09227J ↗
29. 10.1016/0022-3093(95)00037-210.1016/0022-3093(95)00037-2 ↗
30. 10.1557/JMR.1993.310010.1557/JMR.1993.3100 ↗
31. 10.1016/0022-3093(95)00052-610.1016/0022-3093(95)00052-6 ↗
32. 10.1126/sciadv.aas945910.1126/sciadv.aas9459 ↗
33. 10.1039/C9TA00888H10.1039/C9TA00888H ↗
34. 10.1016/j.apmt.2019.06.00710.1016/j.apmt.2019.06.007 ↗
35. 10.1021/acs.chemmater.7b0431310.1021/acs.chemmater.7b04313 ↗
36. 10.1063/1.494321510.1063/1.4943215 ↗
37. Jousten K. · 2018
38. 10.1016/j.jcat.2011.03.01310.1016/j.jcat.2011.03.013 ↗
39. 10.1021/la800470e10.1021/la800470e ↗
40. 10.1039/C7DT04728B10.1039/C7DT04728B ↗
41. 10.1039/c6re00140h10.1039/c6re00140h ↗
42. 10.1021/acscatal.0c0026010.1021/acscatal.0c00260 ↗
43. 10.1021/ja310679710.1021/ja3106797 ↗
44. 10.1021/acs.jpcc.8b1081410.1021/acs.jpcc.8b10814 ↗
45. 10.1002/cssc.20130030710.1002/cssc.201300307 ↗
46. 10.1073/pnas.140536511110.1073/pnas.1405365111 ↗
47. 10.1021/acsami.0c1000410.1021/acsami.0c10004 ↗
48. 10.1002/adfm.20211291410.1002/adfm.202112914 ↗
49. 10.1016/j.apcatb.2020.11866010.1016/j.apcatb.2020.118660 ↗
50. Fang, Q.; Boas, D. A. In Tetrahedral Mesh Generation from Volumetric Binary and Grayscale Images, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro; IEEE: Boston, MA, USA, 2009; pp 1142–1145.
51. 10.1364/BOE.1.00016510.1364/BOE.1.000165 ↗
52. 10.1007/BF0195587410.1007/BF01955874 ↗
53. Rebber, M.; Sannemüller, H.; Jaruszewski, M.; Pfannkuche, D.; Urakawa, A.; Koziej, D. Raw data for ″Light and mass transport computations guide the fabrication of 3D structured TiO2 and Au/TiO2 aerogel photocatalysts for efficient hydrogen production in the gas phase″. zenodo 2022, http://doi.org/10.5281/zenodo.7018488.10.1021/acs.chemmater.2c03503 ↗