Dataset for "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation"

Dataset

Description

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.
Date made available5 Dec 2022
PublisherUniversity of Bath
Date of data production10 Aug 2020 - 31 Jul 2021

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