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题目:
Electrically-Responsive Core-Shell Hybrid Microfibers for Controlled Drug Release and Cell Culture
 
 
作者:
Chuntao Chen a, Xiao Chen a, Heng Zhang a, Qi Zhang c, Li Wang a, Chenxi Li b, Beibei Dai a, Jiazhi Yang a, Jian Liu b,*, Dongping Sun a,*
 
 
单位:
a Institute of Chemicobiology and Functional Materials, School of Chemical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei Street, Nanjing, Jiangsu Province, China
b Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu Province, China
c School of Radiation Medicine and Protection and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Medical College of Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu Province, China
 
 
摘要:
It is an active research field to develop fiber-shaped smart materials for biomedical applications. Here we report the development of the multifunctional core-shell hybrid microfibers with excellent mechanical and electrical performance as a new smart biomaterial. The microfibers were synthesized using a combination of co-axial spinning with a microfluidic device and subsequent dip-coating, containing a hydrogel core of bacterial cellulose (BC) and a conductive polymer shell layer of poly(3,4-ethylenedioxythiophene) (PEDOT). The hybrid microfibers were featured with a well-controlled microscopic morphology, exhibiting enhanced mechanic properties. A model drug, diclofenac sodium, can be loaded in the core layer of the microfibers in situ during the process of synthesis. Our experiments suggested that the releasing behaviors of the drug molecules from the microfibers were enhanced by external electrical stimulation. Interestingly, we demonstrated an excellent biocompatibility and electroactivity of the hybrid microfibers for PC12 cell culture, thus promising a flexible template for the reconstruction of electrically- responsive tissues mimicking muscle fibers or nerve networks.
 
 
影响因子:
6.008
 
 
分区情况:
一区
 
 
链接:


 

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