Biomimetic cell-actuated artificial muscle with nanofibrous bundles

作     者：Yongwoo Jang Sung Min Kim Eunyoung Kim Dong Yeop Lee Tong Mook Kang Seon Jeong Kim 

作者机构：Center for Self-Powered ActuationDepartment of Biomedical EngineeringHanyang UniversitySeoul 04763South Korea Department of Physical Education and Human-Tech Convergence Program(BK21 Four)Hanyang UniversitySeoul 04763South Korea Department of PhysiologySungkyunkwan University School of MedicineSuwon 16419South Korea 

出 版 物：《Microsystems & Nanoengineering》 (微系统与纳米工程（英文）)

年 卷 期：2021年第7卷第5期

页      面：205-211页

核心收录：

学科分类：07[理学] 070205[理学-凝聚态物理] 08[工学] 080501[工学-材料物理与化学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：This work was supported by the Creative Research Initiative Center for Self-powered Actuation in the National Research Foundation of Korea 

主　　题：artificial fibers integrating 

摘      要：Biohybrid artificial muscle produced by integrating living muscle cells and their scaffolds with free movement in vivo is promising for advanced biomedical applications,including cell-based microrobotic systems and therapeutic drug delivery ***,we provide a biohybrid artificial muscle constructed by integrating living muscle cells and their scaffolds,inspired by bundled myofilaments in skeletal ***,a bundled biohybrid artificial muscle was fabricated by the integration of skeletal muscle cells and hydrophilic polyurethane(HPU)/carbon nanotube(CNT)nanofibers into a fiber shape similar to that of natural skeletal *** HPU/CNT nanofibers provided a stretchable basic backbone of the 3-dimensional fiber structure,which is similar to aain-myosin *** incorporated skeletal muscle fibers contribute to the actuation of biohybrid artificial *** fact,electrical field stimulation reversibly leads to the contraction of biohybrid artificial ***,the current development of cell-actuated artificial muscle provides great potential for energy delivery systems as actuators for implantable medibot movement and drug delivery ***,the innervation of the biohybrid artificial muscle with motor neurons is of great interest for human-machine interfaces.