Dataset for "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation"
Photocatalytic foams combine the advantages of slurries and immobilised photocatalysts for water treatment. The paper associated with this dataset, "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation" describes the performance of ZnO photocatalytic foams in recirculation and single-pass configuration reactors. The photocatalytic activity was systematically studied for flow rate, catalyst length and stability parameters using Carbamazepine (CBZ) as a model pollutant. This dataset contains Carbamazepine photocatalytic degradation data underpinning these results. Materials characterisation data comprises Zn concentration in the solution after photocatalysis (ICP/MS), X-ray diffraction data and Scanning Electron Microscopy (TEM/SEM) images. Simulation results are provided from the code developed in Matlab and compared to experimental data.
Cite this dataset as:
Tasso Guaraldo, T.,
Vakili, R.,
Wenk, J.,
Mattia, D.,
2022.
Dataset for "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01116.
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Data
XRD data.csv
text/plain (102kB)
Creative Commons: Attribution 4.0
CBZ calibration curve.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (11kB)
Creative Commons: Attribution 4.0
Original micrographs … manuscript.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (665kB)
Creative Commons: Attribution 4.0
Simulation results.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (60kB)
Creative Commons: Attribution 4.0
Data from code
Degradation results V1.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (31kB)
Creative Commons: Attribution 4.0
Calculations … EEO and QY.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (18kB)
Creative Commons: Attribution 4.0
Raw data used for hydrodynamics, UV dose, quantum yield and electrical energy per order calculations
Code
MassT.m
text/plain (1kB)
Software: MIT License
reactor.m
text/plain (2kB)
Software: MIT License
run.m
text/plain (564B)
Software: MIT License
Creators
Thais Tasso Guaraldo
University of Bath
Reza Vakili
University of Bath
Jannis Wenk
University of Bath
Davide Mattia
University of Bath
Contributors
University of Bath
Rights Holder
Coverage
Collection date(s):
From 10 August 2020 to 31 July 2021
Documentation
Data collection method:
All experimental details including sampling, procedures and methodologies are fully described in the associated paper.
Technical details and requirements:
All technical details are fully described in the associated paper. Origin Software (version 2017 Academic 64 bit) was used to create the Figures presented in the manuscript and Blender for the graphical abstract. Simulation data was perfomed using Matlab 2021 software.
Additional information:
The spreadsheet contains the following tabs: • Data for photocatalytic degradation using ZnO foams in Figures 3, 4, 5, and S2 in the manuscript, respectively; • SEM and FE-SEM original micrographs in the manuscript (Figures 2) and ESI (Figure S4); • X-ray diffraction data for Figure S.1 in the ESI; • HPLC calibration data for Carbamazepine; • Zn concentration; • Quantum efficiency and EEO (Tables 1 and 3); • UV dose data Figures 3 and 5 in the manuscript, Figure S2 ESI and Tables S4 and S5 ESI; • Hydrodynamics parameters Tables S6 and S7 ESI • Simulation: Figure 7 in the manuscript, Figures S5 to S8 ESI and Tables S10 and S11.
Methodology link:
Guaraldo, T. T., Vakili, R., Wenk, J., and Mattia, D., 2023. Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation. Chemical Engineering Journal, 455, 140784. Available from: https://doi.org/10.1016/j.cej.2022.140784.
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Fellowship - Photocatalytic Anodic Membranes for Micropollutant Removal
EP/P031382/1
Publication details
Publication date: 5 December 2022
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01116
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1116
Related papers and books
Guaraldo, T. T., Vakili, R., Wenk, J., and Mattia, D., 2023. Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation. Chemical Engineering Journal, 455, 140784. Available from: https://doi.org/10.1016/j.cej.2022.140784.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Thais Tasso Guaraldo
Faculty of Engineering & Design
Chemical Engineering
Research Centres & Institutes
Centre for Advanced Separations Engineering (CASE)
