TY - JOUR
T1 - 3D-printed self-healing hydrogels via Digital Light Processing
AU - Caprioli, Matteo
AU - Roppolo, Ignazio
AU - Chiappone, Annalisa
AU - Larush, Liraz
AU - Pirri, Candido Fabrizio
AU - Magdassi, Shlomo
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/4/28
Y1 - 2021/4/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85105050957&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-22802-z
DO - 10.1038/s41467-021-22802-z
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C2 - 33911075
AN - SCOPUS:85105050957
SN - 2041-1723
VL - 12
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 2462
ER -