Dataset for "Photocatalytic ZnO foams for micropollutant degradation"

Photocatalytic foams can concomitantly overcome the disadvantages of slurries and immobilised photocatalysts for water treatment. So far, foam synthesis has been restricted to nanoparticles grafting onto foam substrates. This approach can still release nanoparticles into the environment. The paper associated with this dataset, "Photocatalytic ZnO foams for micropollutant degradation" describes for the first time the synthesis of self-supporting, highly porous photocatalytic zinc oxide (ZnO) foams produced using a combination of liquid templating and sintering. Systematic changes in sintering times and temperature affected the foams’ morphology and structure, in turn controlling their photocatalytic activity (PCA) and stability.
This dataset contains the photocatalytic degradation and Carbamazepine calibration data underpinning these results, alongside measurements of Zn concentration in the solution after photocatalysis (ICP/MS), X-ray diffraction data, and Transmission and Scanning Electron Microscopy (TEM/SEM) images.

All experimental details including sampling, procedures and methodologies are fully described in the associated manuscript.

All technical details are fully described in the associated manuscript. Origin Software (version 2017 Academic 64 bit) was used to create the Figures presented in the manuscript.

The spreadsheet contains the following tabs:
• Data for photocatalytic degradation using ZnO foams in Figures 4, 5, 6 and 7 in the paper, respectively;
• SEM and FE-SEM original micrographs in the manuscript (Figures 2 and 7) and ESI (Figure S.1 and Figure S.2);
• X-ray diffraction data for Figure S.3 in the ESI;
• BET data for Figure S.4 in the ESI;
• HPLC calibration data for Carbamazepine;
• Zn concentration calculations (ICP/MS);
• Quantum efficiency.

Further relevant documentation may be found in the following resources.

Tasso Guaraldo, T., Wenk, J., and Mattia, D., 2021. Photocatalytic ZnO Foams for Micropollutant Degradation. Advanced Sustainable Systems, 5(5), 2000208. Available from: https://doi.org/10.1002/adsu.202000208.