详细信息

Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology

作者:Ma, Ying[1,2];Zhang, Ying[1,3];Zhao, Shan[1];Wang, Yu[1,2];Wang, Siran[1];Zhou, Yan[3];Li, Na[1,2];Xie, Hongguo[1];Yu, Weiting[1];Liu, Yang[1];Wang, Wei[1];Ma, Xiaojun[1]

机构:[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

年份:2012

卷号:100A

期号:4

起止页码:989

外文期刊名:JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A

收录:;EI(收录号:20120914811265);WOS:【SCI-EXPANDED(收录号:WOS:000300677600020)】;

基金:Contract grant sponsor: National Natural Science Foundation of China; contract grant numbers: 20906088, 21076207, 10979050, 20806080, 30970885, 81101757, and 51103157Contract grant sponsor: Natural Science Foundation of Liaoning province; contract grant number: 20101087Contract grant sponsor: National Natural Science Foundation of China; contract grant number: 20736006Contract grant sponsor: Science and technology fund of Dalian city; contract grant number: 2008J23JH023Contract grant sponsor: National Key Sci-Tech Special Project of China; contract grant number: 2008ZX10002-019Contract grant sponsor: "Strategic Priority Research Program" of the Chinese Academy of Sciences, Stem Cell and Regenerative Medicine Research; contract grant number: XDA01030303Contract grant sponsor: The Funding Project of the State Key Laboratory of Bioreactor Engineering

语种:英文

外文关键词:microencapsulation; membrane preparation; optimization conditions; response surface methodology; modeling

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.

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