Data underlying the publication: Transport and surface reaction model of a photocatalytic membrane during the radical filtration of methylene blue

doi: 10.4121/19508191.v1
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doi: 10.4121/19508191
Datacite citation style:
Heredia Deba, Shuyana; Wols, B.A. (Bas); Doekle Yntema; Lammertink, Rob (2022): Data underlying the publication: Transport and surface reaction model of a photocatalytic membrane during the radical filtration of methylene blue. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19508191.v1
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Dataset

This study explores the synergy between photocatalytic oxidation and membrane filtration using a photocatalytic membrane. Titanium dioxide coated alumina membranes were fabricated and tested in a customized Photocatalytic Membrane Reactor (PMR) module. The discoloration of methylene blue (MB), 3.2 mg.L-1 in an aqueous solution, was evaluated in dead-end filtration mode. A simple 1D analytic transport and surface reaction model was used based on advection and diffusion, containing intrinsic retention by the membrane and reaction kinetics to predict the permeate concentration. The discoloration of MB by the photocatalytic membrane could be well described by a single retention and reaction rate constant (second Damköhler number) for fluxes from 1.6 to 16.2 L.m-2.h-1. The model furthermore indicates the potential synergy between membrane retention, which leads to increased concentration, and accompanying photocatalytic conversion, at the membrane surface.

history
  • 2022-04-28 first online, published, posted
publisher
4TU.ResearchData
funding
  • Dutch Ministry of Economic Affairs and Ministry of Infrastructure and Environment, the European Union Regional Development Fund, the Province of Frysland, and the Norther Netherlands Provinces.
  • European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement 665874.
organizations
Wetsus European Center of Excellence for Sustainable Water Technology
University of Twente, Membrane Science and Technology, Faculty of Science and Technology

DATA

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