3D-printed self-healing hydrogels via Digital Light Processing.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
28 04 2021
Historique:
received: 09 06 2020
accepted: 25 03 2021
entrez: 29 4 2021
pubmed: 30 4 2021
medline: 13 5 2021
Statut: epublish

Résumé

Self-healing hydrogels may mimic the behavior of living tissues, which can autonomously repair minor damages, and therefore have a high potential for application in biomedicine. So far, such hydrogels have been processed only via extrusion-based additive manufacturing technology, limited in freedom of design and resolution. Herein, we present 3D-printed hydrogel with self-healing ability, fabricated using only commercially available materials and a commercial Digital Light Processing printer. These hydrogels are based on a semi-interpenetrated polymeric network, enabling self-repair of the printed objects. The autonomous restoration occurs rapidly, at room temperature, and without any external trigger. After rejoining, the samples can withstand deformation and recovered 72% of their initial strength after 12 hours. The proposed approach enables 3D printing of self-healing hydrogels objects with complex architecture, paving the way for future applications in diverse fields, ranging from soft robotics to energy storage.

Identifiants

pubmed: 33911075
doi: 10.1038/s41467-021-22802-z
pii: 10.1038/s41467-021-22802-z
pmc: PMC8080574
doi:

Substances chimiques

Hydrogels 0
Polymers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2462

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Auteurs

Matteo Caprioli (M)

Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy.
Casali Center for Applied Chemistry, Institute of Chemistry, The Hebrew University of Jerusalem, Edmond J. Safra Campus - Givat Ram, Jerusalem, Israel.

Ignazio Roppolo (I)

Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy. ignazio.roppolo@polito.it.

Annalisa Chiappone (A)

Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy.

Liraz Larush (L)

Casali Center for Applied Chemistry, Institute of Chemistry, The Hebrew University of Jerusalem, Edmond J. Safra Campus - Givat Ram, Jerusalem, Israel.

Candido Fabrizio Pirri (CF)

Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy.
Istituto Italiano di Tecnologia, Center for Sustainable Future Technologies, Turin, Italy.

Shlomo Magdassi (S)

Casali Center for Applied Chemistry, Institute of Chemistry, The Hebrew University of Jerusalem, Edmond J. Safra Campus - Givat Ram, Jerusalem, Israel. magdassi@mail.huji.ac.il.

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Classifications MeSH