Tailoring the viscoelasticity of polymer gels of gluten proteins through solvent quality
Salvatore Costanzo, Am\'elie Banc, Ameur Louhichi, Edouard Chauveau,, Baohu Wu, Marie-H\'el\`ene Morel, and Laurence Ramos

TL;DR
This study explores how solvent quality affects the viscoelastic properties of gluten protein gels, revealing a superposition principle and a solvent-dependent transition in molecular interactions that can be used to tailor gelation.
Contribution
It demonstrates a universal superposition principle for gluten gels in water-ethanol mixtures and links molecular interactions to macroscopic viscoelastic properties.
Findings
Gels exhibit a time/solvent composition superposition principle.
Viscoelastic parameters span several orders of magnitude with solvent change.
Molecular interactions transition from intra- to interchain with increased ethanol.
Abstract
We investigate the linear viscoelasticity of polymer gels produced by the dispersion of gluten proteins in water:ethanol binary mixtures with various ethanol contents, from pure water to 60% v/v ethanol. We show that the complex viscoelasticity of the gels exhibits a time/solvent composition superposition principle, demonstrating the self-similarity of the gels produced in different binary solvents. All gels can be regarded as near critical gels with characteristic rheological parameters, elastic plateau and characteristic relaxation time, which are related one to another, as a consequence of self-similarity, and span several orders of magnitude when changing the solvent composition. Thanks to calorimetry and neutron scattering experiments, we evidencea co-solvency effect with a better solvation of the complex polymer-like chains of the gluten proteins as the amount of ethanol…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
