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Effect of Stiffness on the Dynamics of Entangled Nanofiber Networks at Low Concentrations
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Centres, Wallenberg Wood Science Center.ORCID iD: 0000-0002-6302-0004
Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States.ORCID iD: 0000-0001-8775-5251
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Fibre- and Polymer Technology. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Centres, Wallenberg Wood Science Center.ORCID iD: 0000-0002-2346-7063
KTH, School of Engineering Sciences (SCI), Engineering Mechanics.ORCID iD: 0000-0002-2504-3969
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2023 (English)In: Macromolecules, ISSN 0024-9297, E-ISSN 1520-5835, Vol. 56, no 23, p. 9595-9603Article in journal, Editorial material (Refereed) Published
Abstract [en]

Biopolymer network dynamics play a significant role in both biological and materials science. This study focuses on the dynamics of cellulose nanofibers as a model system given their relevance to biology and nanotechnology applications. Using large-scale coarse-grained simulations with a lattice Boltzmann fluid coupling, we investigated the reptation behavior of individual nanofibers within entangled networks. Our analysis yields essential insights, proposing a scaling law for rotational diffusion, quantifying effective tube diameter, and revealing release mechanisms during reptation, spanning from rigid to semiflexible nanofibers. Additionally, we examine the onset of entanglement in relation to the nanofiber flexibility within the network. Microrheology analysis is conducted to assess macroscopic viscoelastic behavior. Importantly, our results align closely with previous experiments, validating the proposed scaling laws, effective tube diameters, and onset of entanglement. The findings provide an improved fundamental understanding of biopolymer network dynamics and guide the design of processes for advanced biobased materials. 

Place, publisher, year, edition, pages
American Chemical Society (ACS) , 2023. Vol. 56, no 23, p. 9595-9603
National Category
Biophysics Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-343525DOI: 10.1021/acs.macromol.3c01526ISI: 001141570800001Scopus ID: 2-s2.0-85178555657OAI: oai:DiVA.org:kth-343525DiVA, id: diva2:1838199
Funder
Swedish Research Council, 2018-06469Knut and Alice Wallenberg Foundation
Note

QC 20240216

Available from: 2024-02-15 Created: 2024-02-15 Last updated: 2024-02-16Bibliographically approved

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Rosén, TomasLundell, FredrikSöderberg, Daniel

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Motezakker, Ahmad RezaCórdoba, AndrésRosén, TomasLundell, FredrikSöderberg, Daniel
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Fluid Mechanics and Engineering AcousticsWallenberg Wood Science CenterFibre- and Polymer TechnologyEngineering MechanicsFiberprocesser
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