Data underlying the publication: Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties.

DOI:10.4121/f2c7d989-a25f-46e2-9866-27f57b24468a.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/f2c7d989-a25f-46e2-9866-27f57b24468a

Datacite citation style

Junker, Moritz; de Vos, Wiebe M.; de Grooth, Joris; Lammertink, Rob (2023): Data underlying the publication: Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f2c7d989-a25f-46e2-9866-27f57b24468a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties." Journal of Membrane Science 668 (2023): 121164.

In this work, the fabrication and performance of polyelectrolyte multilayer based nanofiltration membranes were analysed by a combination of experimental filtration studies and theoretical transport modeling. Experimental methods applied for membrane characterisation include pure water permeability, MgSO4 retention, polyethylene glycol retention. The selective membrane layer was imaged using Field Emission Scanning Electron Microscopy. Based on experimental results, different pore flow models were parametrised to describe the filtration behaviour.

The dataset contains all relevant data for the study. This includes experimental and theoretical results. More information on the specific files can be found within the README.txt file.

History

  • 2023-06-01 first online, published, posted

Publisher

4TU.ResearchData

Format

text/m, text/txt, text/csv, image/bmp, text/xlsx

Funding

  • University of Twente Connecting Industry Program: Oasen (Gouda, Netherlands), NX Filtration (Enschede, Netherlands), TKI HTSM, Netherlands.

Organizations

University of Twente, Faculty of Science and Technology (TNW)

DATA

Files (15)