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Additive manufacturing of highly entangled polymer networks.
Dhand, Abhishek P; Davidson, Matthew D; Zlotnick, Hannah M; Kolibaba, Thomas J; Killgore, Jason P; Burdick, Jason A.
Afiliação
  • Dhand AP; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Davidson MD; BioFrontiers Institute & Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80303, USA.
  • Zlotnick HM; BioFrontiers Institute & Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80303, USA.
  • Kolibaba TJ; Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, CO 80305, USA.
  • Killgore JP; Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, CO 80305, USA.
  • Burdick JA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Science ; 385(6708): 566-572, 2024 Aug 02.
Article em En | MEDLINE | ID: mdl-39088628
ABSTRACT
Incorporation of polymer chain entanglements within a single network can synergistically improve stiffness and toughness, yet attaining such dense entanglements through vat photopolymerization additive manufacturing [e.g., digital light processing (DLP)] remains elusive. We report a facile strategy that combines light and dark polymerization to allow constituent polymer chains to densely entangle as they form within printed structures. This generalizable approach reaches high monomer conversion at room temperature without the need for additional stimuli, such as light or heat after printing, and enables additive manufacturing of highly entangled hydrogels and elastomers that exhibit fourfold- to sevenfold-higher extension energies in comparison to that of traditional DLP. We used this method to print high-resolution and multimaterial structures with features such as spatially programmed adhesion to wet tissues.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article