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Erschienen in: Tribology Letters 3/2022

01.09.2022 | Original Paper

Compositional Tuning Reveals a Pathway to Achieve a Strong and Lubricious Double Network in Agarose-Polyacrylamide Hydrogels

verfasst von: Tooba Shoaib, Paige Prendergast, Rosa M. Espinosa-Marzal

Erschienen in: Tribology Letters | Ausgabe 3/2022

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Abstract

Hydrogels, bearing microstructural semblance to biological tissues, are prime candidates for translation replacement materials. Among them, double network (DN) hydrogels are at the forefront with their superior mechanical properties compared to conventional single network hydrogels. However, the functional design of the microstructure to control mechanical and tribological performance still poses a challenge. Here, hydrogels composed of physically crosslinked agarose and chemically crosslinked poly(acrylamide) were studied by spectroscopy, dynamic light scattering, atomic force microscopy and rheology. A viable hydrogel formed with the lowest acrylamide concentration, but the loose PAAm network did not reinforce the agarose network. Increasing the monomer and crosslinker concentration led to fast gelation of the second network, yielding poorly interconnected acrylamide-rich domains within the agarose network, and a weak and heterogenous hydrogel. Reducing the crosslinking degree to the half slowed down gelation, which favored the formation of an interpenetrating PAAm network, affording a two-fold increase in strength. While the adhesion of the investigated hydrogels is remarkably dictated and reduced by agarose, their frictional characteristics are highly sensitive to the composition. Importantly, friction can be modulated by varying the imbibed fluid.

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Metadaten
Titel
Compositional Tuning Reveals a Pathway to Achieve a Strong and Lubricious Double Network in Agarose-Polyacrylamide Hydrogels
verfasst von
Tooba Shoaib
Paige Prendergast
Rosa M. Espinosa-Marzal
Publikationsdatum
01.09.2022
Verlag
Springer US
Erschienen in
Tribology Letters / Ausgabe 3/2022
Print ISSN: 1023-8883
Elektronische ISSN: 1573-2711
DOI
https://doi.org/10.1007/s11249-022-01604-4

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