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

Author

Listed:
  • Matteo Caprioli

    (Politecnico di Torino
    The Hebrew University of Jerusalem, Edmond J. Safra Campus – Givat Ram)

  • Ignazio Roppolo

    (Politecnico di Torino)

  • Annalisa Chiappone

    (Politecnico di Torino)

  • Liraz Larush

    (The Hebrew University of Jerusalem, Edmond J. Safra Campus – Givat Ram)

  • Candido Fabrizio Pirri

    (Politecnico di Torino
    Center for Sustainable Future Technologies)

  • Shlomo Magdassi

    (The Hebrew University of Jerusalem, Edmond J. Safra Campus – Givat Ram)

Abstract

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.

Suggested Citation

  • Matteo Caprioli & Ignazio Roppolo & Annalisa Chiappone & Liraz Larush & Candido Fabrizio Pirri & Shlomo Magdassi, 2021. "3D-printed self-healing hydrogels via Digital Light Processing," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22802-z
    DOI: 10.1038/s41467-021-22802-z
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    Cited by:

    1. Xueru Xiong & Yunhua Chen & Zhenxing Wang & Huan Liu & Mengqi Le & Caihong Lin & Gang Wu & Lin Wang & Xuetao Shi & Yong-Guang Jia & Yanli Zhao, 2023. "Polymerizable rotaxane hydrogels for three-dimensional printing fabrication of wearable sensors," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Liang Yue & S. Macrae Montgomery & Xiaohao Sun & Luxia Yu & Yuyang Song & Tsuyoshi Nomura & Masato Tanaka & H. Jerry Qi, 2023. "Single-vat single-cure grayscale digital light processing 3D printing of materials with large property difference and high stretchability," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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