Data for 'Self-Assembled Liposomes Enhance Electron Transfer for Efficient Photocatalytic CO2 Reduction'

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Authors
Rodriguez-Jimenez, Santiago
Song, Hongwei
Lam, Erwin
Wright, Demelza
Pannwitz, Andrea
Bonke, Shannon
Baumberg, J
Publication Date
2022-05-05
Type
Dataset
Metadata
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Citation
Rodriguez-Jimenez, S., Song, H., Lam, E., Wright, D., Pannwitz, A., Bonke, S., Baumberg, J., et al. (2022). Data for 'Self-Assembled Liposomes Enhance Electron Transfer for Efficient Photocatalytic CO2 Reduction' [Dataset]. https://doi.org/10.17863/CAM.84150
Description
Main - contains UV-vis, electrochemistry, cryogenic TEM, photocatalysis, product quantification, time-resolved and steady-state emission spectroscopy, transient absorption spectroscopy, UV-vis-NIR and Resonance Raman spectroelectrochemistry and image data related to main text sorted by respective figure. SI Data - contains all synthesis details (including 1H and 13C NMR, MS, microanalysis, FT-IR), liposome preparation details, electrochemistry, cryogenic TEM, photocatalysis, ime-resolved and steady-state emission spectroscopy, transient absorption spectroscopy, UV-vis-NIR and Resonance Raman spectroelectrochemistry, DFT calculated Raman spectra and structures and image data related to the Supplementary Information sorted by respective figure.
Format
Excel
Keywords
Photochemistry
Sponsorship
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (828838)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (891338)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.84150
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)