Affiliation:
1. The Zhejiang University ‐ University of Edinburgh Institute Zhejiang University School of Medicine Zhejiang University Hangzhou 310058 China
2. J2 Lab for Engineering Living Materials Sibley School of Mechanical and Aerospace Engineering Cornell University Ithaca NY 14853 USA
3. Department of Biomedical Engineering Tufts University Medford MA 02155 USA
4. Department of Orthopedics of the Second Affiliated Hospital Zhejiang University School of Medicine Zhejiang University Hangzhou 310058 China
5. Dr. Li Dak Sum & Yip Yio Chin Center for Stem Cells and Regenerative Medicine Zhejiang University School of Medicine Zhejiang University Hangzhou 310058 China
Abstract
AbstractProtein hydrogels with tailored stimuli‐responsive features and tunable stiffness have garnered considerable attention due to the growing demand for biomedical soft robotics. However, integrating multiple responsive features toward intelligent yet biocompatible actuators remains challenging. Here, a facile approach that synergistically combines genetic and chemical engineering for the design of protein hydrogel actuators with programmable complex spatial deformation is reported. Genetically engineered silk‐elastin‐like proteins (SELPs) are encoded with stimuli‐responsive motifs and enzymatic crosslinking sites via simulation‐guided genetic engineering strategies. Chemical modifications of the recombinant proteins are also used as secondary control points to tailor material properties, responsive features, and anisotropy in SELP hydrogels. As a proof‐of‐concept example, diazonium coupling chemistry is exploited to incorporate sulfanilic acid groups onto the tyrosine residues in the elastin domains of SELPs to achieve patterned SELP hydrogels. These hydrogels can be programmed to perform various actuations, including controllable bending, buckling, and complex deformation under external stimuli, such as temperature, ionic strength, or pH. With the inspiration of genetic and chemical engineering in natural organisms, this work offers a predictable, tunable, and environmentally sustainable approach for the fabrication of programmed intelligent soft actuators, with implications for a variety of biomedical materials and biorobotics needs.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province