Your browser doesn't support javascript.
loading
An improved correlation to predict molecular weight between crosslinks based on equilibrium degree of swelling of hydrogel networks.
Jimenez-Vergara, Andrea C; Lewis, John; Hahn, Mariah S; Munoz-Pinto, Dany J.
Afiliação
  • Jimenez-Vergara AC; Department of Engineering Science, Trinity University, San Antonio, Texas, 78212.
  • Lewis J; Department of Engineering Science, Trinity University, San Antonio, Texas, 78212.
  • Hahn MS; Biomedical Engineering Department, Rensselaer Polytechnic Institute, Troy, New York, 12180.
  • Munoz-Pinto DJ; Department of Engineering Science, Trinity University, San Antonio, Texas, 78212.
J Biomed Mater Res B Appl Biomater ; 106(3): 1339-1348, 2018 04.
Article em En | MEDLINE | ID: mdl-28714234
ABSTRACT
Accurate characterization of hydrogel diffusional properties is of substantial importance for a range of biotechnological applications. The diffusional capacity of hydrogels has commonly been estimated using the average molecular weight between crosslinks (Mc ), which is calculated based on the equilibrium degree of swelling. However, the existing correlation linking Mc and equilibrium swelling fails to accurately reflect the diffusional properties of highly crosslinked hydrogel networks. Also, as demonstrated herein, the current model fails to accurately predict the diffusional properties of hydrogels when polymer concentration and molecular weight are varied simultaneously. To address these limitations, we evaluated the diffusional properties of 48 distinct hydrogel formulations using two different photoinitiator systems, employing molecular size exclusion as an alternative methodology to calculate average hydrogel mesh size. The resulting data were then utilized to develop a revised correlation between Mc and hydrogel equilibrium swelling that substantially reduces the limitations associated with the current correlation. © 2017 Wiley Periodicals, Inc. J Biomed Mater Res Part B Appl Biomater, 106B 1339-1348, 2018.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hidrogéis Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomed Mater Res B Appl Biomater Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hidrogéis Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomed Mater Res B Appl Biomater Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2018 Tipo de documento: Article