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Mechanics and transport phenomena in agarose-based hydrogels studied by compression-relaxation tests.
Caccavo, Diego; Cascone, Sara; Poto, Serena; Lamberti, Gaetano; Barba, Anna Angela.
Afiliación
  • Caccavo D; Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, 84084 Fisciano, SA, Italy. Electronic address: dcaccavo@unisa.it.
  • Cascone S; Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, 84084 Fisciano, SA, Italy. Electronic address: scascone@unisa.it.
  • Poto S; Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, 84084 Fisciano, SA, Italy. Electronic address: serenapoto@gmail.com.
  • Lamberti G; Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, 84084 Fisciano, SA, Italy. Electronic address: glamberti@unisa.it.
  • Barba AA; Dipartimento di Farmacia, Università degli Studi di Salerno, 84084 Fisciano, SA, Italy. Electronic address: aabarba@unisa.it.
Carbohydr Polym ; 167: 136-144, 2017 Jul 01.
Article en En | MEDLINE | ID: mdl-28433148
Hydrogels are widespread materials, used in several frontier fields, due to their peculiar behavior: they couple solvent mass transport to system mechanics, exhibiting viscoelastic and poroelastic characteristics. The full understanding of this behavior is crucial to correctly design such complex systems. In this study agarose gels has been investigated through experimental stress-relaxation tests and with the aid of a 3D poroviscoelastic model. At the investigated experimental conditions, the agarose gels samples show a prevalent viscoelastic behavior, revealing limited water transport and an increase of the stiffness as well as of the relaxation time along with the polymer concentration. The model parameters, derived from the fitting of some experimental data, have been generalized and used to purely predict the behavior of another set of gels. The stress-relaxation tests coupled with mathematical modeling demonstrated to be a powerful tool to study hydrogels' behavior.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Carbohydr Polym Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Carbohydr Polym Año: 2017 Tipo del documento: Article