Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4159
Publisher DOI: 10.1021/acs.jcim.1c01076
Title: DEM-based approach for the modeling of gelation and its application to alginate
Language: English
Authors: Depta, Philipp Nicolas 
Gurikov, Pavel 
Schroeter, Baldur  
Forgács, Attila 
Kalmár, József 
Paul, Geo 
Marchese, Leonardo 
Heinrich, Stefan 
Dosta, Maksym 
Keywords: Multiscale modeling; Gelation; Alginate; Langevin dynamics
Issue Date: 10-Jan-2022
Publisher: American Chemical Society
Source: Journal of Chemical Information and Modeling 62 (1): 49-70 (2022-01-10)
Abstract (english): 
The gelation of biopolymers is of great interest in the material science community and has gained increasing relevance in the past few decades, especially in the context of aerogels lightweight open nanoporous materials. Understanding the underlying gel structure and influence of process parameters is of great importance to predict material properties such as mechanical strength. In order to improve understanding of the gelation mechanism in aqueous solution, this work presents a novel approach based on the discrete element method for the mesoscale for modeling gelation of hydrogels, similarly to an extremely coarse-grained molecular dynamics (MD) approach. For this, polymer chains are abstracted as dimer units connected by flexible bonds and interactions between units and with the environment, that is, diffusion in implicit water, are described. The model is based on Langevin dynamics and includes an implicit probabilistic ion model to capture the effects of ion availability during ion-mediated gelation. The model components are fully derived and parameterized using literature data and theoretical considerations based on a simplified representation of atomistic processes. The presented model enables investigations of the higher-scale network formation during gelation on the micrometer and millisecond scale, which are beyond classical modeling approaches such as MD. As a model system, calcium-mediated alginate gelation is investigated including the influence of ion concentration, polymer composition, polymer concentration, and molecular weight. The model is verified against numerous literature data as well as own experimental results for the corresponding Ca-alginate hydrogels using nitrogen porosimetry, NMR cryoporometry, and small-angle neutron scattering. The model reproduces both bundle size and pore size distribution in a reasonable agreement with the experiments. Overall, the modeling approach paves the way to physically motivated design of alginate gels.
URI: http://hdl.handle.net/11420/11501
DOI: 10.15480/882.4159
ISSN: 1549-9596
Journal: Journal of chemical information and modeling 
Institute: Feststoffverfahrenstechnik und Partikeltechnologie V-3 
Entwicklung und Modellierung Neuartiger Nanoporöser Materialien V-EXK2 
Thermische Verfahrenstechnik V-8 
Mehrskalensimulation von Feststoffsystemen V-EXK1 (H) 
Document Type: Article
Project: Teilprojekt von SPP 1934: Multiskalige modellgestützte Untersuchungen funktionaler Enzym- und Proteinagglomerate für biotechnologische Anwendung - Teil 2: Von der Struktur zur Funktion 
Stofftransportprozesse bei der Herstellung von biopolymerbasierten Aerogelen: in situ Charakterisierung und Modellierung 
More Funding information: The NMR measurements have been financially supported by the National Research, Development and Innovation Office, Hungarian Science Foundation (OTKA: FK_17-124 571).
Peer Reviewed: Yes
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
Appears in Collections:Publications with fulltext

Files in This Item:
File Description SizeFormat
acs.jcim.1c01076.pdfVerlags-PDF10,28 MBAdobe PDFView/Open
Thumbnail
Show full item record

Page view(s)

113
Last Week
0
Last month
checked on Dec 9, 2022

Download(s)

75
checked on Dec 9, 2022

Google ScholarTM

Check

Note about this record

Cite this record

Export

This item is licensed under a Creative Commons License Creative Commons