4.7 Article

Highly Stretchable, Adhesive, and Self-Healing Silk Fibroin-Dopted Hydrogels for Wearable Sensors

期刊

ADVANCED HEALTHCARE MATERIALS
卷 10, 期 10, 页码 -

出版社

WILEY
DOI: 10.1002/adhm.202002083

关键词

adhesives; flexible sensors; hydrogels; self‐ healing; silk fibroin; voice detection

资金

  1. National Nature Science Foundation of China [51502253]
  2. Guangdong Natural Science Foundation [2016A030310369]
  3. Fundamental Research Funds for the Central Universities of China [20720160127, 20720180013]
  4. Opening Foundation of State Key Laboratory of Physical Chemistry of Solid Surfaces in Xiamen University [201704]

向作者/读者索取更多资源

The one-pot method of thermal polymerization is introduced to fabricate silk fibroin-doped hydrogels, which exhibit excellent mechanical properties, adhesion, and self-healing capabilities, making them suitable for applications in pressure sensors and electronic skin fields.
In recent years, the preparations of flexible electronic devices have attracted great attention. Here, a simple one-pot method of thermal polymerization is introduced to fabricate silk fibroin-dopted hydrogels (SFHs), which are both chemically and physically cross-linked by acrylamide (AM), acrylic acid (AA), and silk fibroin (SF). The addition of SF can effectively enhance the mechanical property of the SFH12% by 59% compared with SFH0%. Taking the advantage of its wide working range of stress (about 0.455-568.9 kPa), the SFH can work as a resistance-type pressure sensor to monitor different human motions. What is more, the excellent adhesion, about 75.17 N m(-1) of SFH46% enables it to fit tightly to other objects during the testing, which significantly reduces the loss of small signals due to poor fit. In addition, the SFH demonstrates excellent self-healing property without requiring external excitation and a sensitive temperature response in the range of -10 to 60 degrees C. The SFH is expected to be applied in the field of electronic skin, soft robots, and other flexible electronic products as well as speech recognition.

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