Data underlying the publication: Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena.

DOI:10.4121/c101c837-555a-4c2c-8290-69980f520bdd.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/c101c837-555a-4c2c-8290-69980f520bdd
Datacite citation style:
Junker, Moritz; te Brinke, Esra; Vall Compte, Clara; Lammertink, Rob; de Grooth, Joris et. al. (2023): Data underlying the publication: Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c101c837-555a-4c2c-8290-69980f520bdd.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. "Asymmetric polyelectrolyte multilayer nanofiltration membranes: Structural characterisation via transport phenomena." Journal of Membrane Science 681 (2023): 121718.

In this work, the fabrication and performance of asymmetric 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, single salt retention, polyethylene glycol retention, and ternary ion retention. Additionally, polyelectrolyte multilayers were studied on a model surface via spectroscopic ellipsometry. Based on experimental results, different pore flow models were parametrised to describe and predict 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

  • 2023-06-02 first online, published, posted

Publisher

4TU.ResearchData

Format

text/txt, text/csv, text/xlsx, text/m

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 (17)