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学科主题: 物理化学
题名: Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology
作者: Ma, Ying1, 2;  Zhang, Ying1, 3;  Zhao, Shan1;  Wang, Yu1, 2;  Wang, Siran1;  Zhou, Yan3;  Li, Na1, 2;  Xie, Hongguo1;  Yu, Weiting1;  Liu, Yang1;  Wang, Wei1;  Ma, Xiaojun1
通讯作者: 马小军
关键词: microencapsulation ;  membrane preparation ;  optimization conditions ;  response surface methodology ;  modeling
刊名: JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
发表日期: 2012-04-01
DOI: 10.1002/jbm.a.34032
卷: 100A, 期:4, 页:989-998
收录类别: SCI
文章类型: Article
部门归属: 18
项目归属: 1802
产权排名: 1,1
类目[WOS]: Engineering, Biomedical ;  Materials Science, Biomaterials
研究领域[WOS]: Engineering ;  Materials Science
英文摘要: Microencapsulation has been a promising approach for drug delivery, cell implantation, cell-based gene therapy and large-scale cell culture. To make use of microcapsules more effectively, it is important to accurately construct the microcapsule membranes with desired properties including a certain thickness, strength, and so forth. To date single factor experiments have been widely used, however, they are time-consuming to obtain the desired membrane preparation conditions. Response surface methodology (RSM) is a mathematical and statistical technique for building empirical models that gained importance for optimizing reacting conditions. In this study, three signifficant effect factors that affect alginate-based microcapsule membrane properties, including membrane thickness, swelling degree, and mechanical stability, were determined with PlackettBurman method, and then three empirical models were built to optimize the preparation conditions of the microcapsule membranes according to the responses of these three signifficant effect factors respectively with RSM. These models can be used to predict the characteristics of microcapsules under different membrane preparation conditions, which provide a guide for optimizing the microencapsulation technology. (C) 2012 Wiley Periodicals, Inc. J Biomed Mater Res Part A:, 2012.
关键词[WOS]: EXPERIMENTAL-DESIGNS ;  SEMIPERMEABLE MICROCAPSULES ;  POLYCATION MICROCAPSULES ;  SACCHAROMYCES-CEREVISIAE ;  MICROENCAPSULATION ;  IMMOBILIZATION ;  PANCREAS ;  ETHANOL ;  LIPASE
语种: 英语
WOS记录号: WOS:000300677600020
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/117773
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Chinese Acad Sci, Dalian Inst Chem Phys, Lab Biomed Mat Engn, Dalian 116023, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
3.E China Univ Sci & Technol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China

Recommended Citation:
Ma, Ying,Zhang, Ying,Zhao, Shan,et al. Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology[J]. JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A,2012,100A(4):989-998.
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