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Data Publication

Dataset underlying the publication: All-lignin polyelectrolyte multilayers as renewable and biodegradable nanofiltration membranes

Wiebe M. de Vos | Jurjen Regenspurg | Frederik Wurm | Stefan Peil | Wendy Jonkers | Tjerk Watt

4TU.ResearchData

(2023)

The data includes the following datasets:


dn_dc_for_Q_factor_determination: refractive indexes of lignin solutions measured at different concentrations (g/L) of lignin at different wavelengths (nm) of incoming light. The linear fit function in excel was used to determine the dn/dc from the presented data. The fit data can be found in the SI of the article.


Filtration: Contains experimental results of crossflow filtration measurements for pure water permeability, 90% molecular weight cut off (MWCO) data based on polyethylene glycol (PEG) retentions (100-10000 g/mol) as measured by Gell permeation chromatography (GPC), and MgSO4 retention data. Measured quantities are: active fibre length (m), average [inlet and outlet] pressure (bar), permeate mass (g) [filled beaker-empty beaker], permeation time (s), feed and permeate conductivity (microS/cm).


Fourier transform infrared spectroscopy data (FTIR): From the 3 different cationic lignin batches used in the article, the lignosulfonates and the unmodified Kraft lignin. batch number 1 was used for figure 2 in the article; batch number 2 was used for the salt stability, pH stability and biodegradability experiments (Figure 4, 5 and 6 of the main article and figure S4, S6, S7 and S9 of the SI); batch number 3 was used for the reflectometry and layer growth experiments at different NaCl concentrations (figure 3 in the article). the wavelength (cm-1) and signal intensity (a.u.) are presented.


H-NMR: 1H-NMR data of the different cationic lignin batches, lignosulfonate and unmodified Kraft lignin. The chemical shift (ppm) and signal intensity (a.u.) are presented


P-NMR: 31P-NMR data of the unmodified Kraft lignin and lignosulfonate. To calculate the OH content of the lignin from this data the MestreNova software was used. The chemical shift (ppm) and signal intensity (a.u.) are presented


SEM: FESEM images of the bare support and the support coated with 9.5 or 10.0 bilayers of lignin


Reflectometry: Reflectometry data for the lignins coated from 5, 50 and 500 mM NaCl solutions onto a silicon waver. The Q factors as determined from the dn/dc data and the professor Huygens software are presented together with the signal (S) base signal (So) and calculated adsorption (Ads) in mg/m2.


Keywords


Originally assigned keywords
Organic Chemistry
Materials Engineering
Analytical Chemistry
Macromolecular and Materials Chemistry
Engineering
Chemical Sciences
Polyelectrolyte multilayers
membranes
lignosulfonate
cationic lignin
Kraft lignin
nanofiltration
lignin
biodegradation
reflectometry
layerbylayer

MSL enriched keywords
minerals
chemical elements
silicon
analogue modelling material
elastic modelling material
synthetic elastic material
polyethylene (LDPE) foam
Measured property
permeability
measured property
pH
silicon
Technique
chemical and mineralogical analysis
infrared spectroscopy
fourier transform infrared spectroscopy (FTIR)

MSL enriched sub domains i

rock and melt physics
geochemistry
microscopy and tomography


Source publisher

4TU.ResearchData


DOI

10.4121/afcd7ef6-4b2b-402f-a406-9ff559eabc83.v1


Authors

Wiebe M. de Vos

Jurjen Regenspurg

Frederik Wurm

Stefan Peil

Wendy Jonkers

Tjerk Watt


Contributers

University of Twente, Membrane Surface Science, Membrane Science and Technology, MESA+ Institute of Nanotechnology

Other

University of Twente, Sustainable Polymer Chemistry, Department of Molecule and Materials, MESA+ Institute of Nanotechnology

Other


References

Watt, T. R., Peil, S., Jonkers, W. A., Regenspurg, J. A., Wurm, F. R., & de Vos, W. M. (2023). All-Lignin Polyelectrolyte Multilayers as Renewable and Biodegradable Nanofiltration Membranes. ACS Applied Polymer Materials, 5(10), 8547–8558. https://doi.org/10.1021/acsapm.3c01661

10.1021/acsapm.3c01661

IsSupplementTo


Citiation

de Vos, W. M., Regenspurg, J., Wurm, F., Peil, S., Jonkers, W., & Watt, T. (2023). Dataset underlying the publication: All-lignin polyelectrolyte multilayers as renewable and biodegradable nanofiltration membranes (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/AFCD7EF6-4B2B-402F-A406-9FF559EABC83.V1