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

	Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology
	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
刊名	journal of biomedical materials research part a
	2012-04-01
卷号	100a 期号:4 页码:989-998
关键词	microencapsulation membrane preparation optimization conditions response surface methodology modeling
通讯作者	马小军
产权排序	1,1
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.
学科主题	物理化学
类目[WOS]	engineering, biomedical ; materials science, biomaterials
研究领域[WOS]	engineering ; materials science
关键词[WOS]	experimental-designs ; semipermeable microcapsules ; polycation microcapsules ; saccharomyces-cerevisiae ; microencapsulation ; immobilization ; pancreas ; ethanol ; lipase
收录类别	SCI
语种	英语
WOS记录号	WOS:000300677600020
公开日期	2013-10-11
内容类型	期刊论文
源URL	[http://159.226.238.44/handle/321008/117773]
专题	大连化学物理研究所_中国科学院大连化学物理研究所
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
推荐引用方式 GB/T 7714	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.
APA	Ma, Ying.,Zhang, Ying.,Zhao, Shan.,Wang, Yu.,Wang, Siran.,...&Ma, Xiaojun.(2012).Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology.journal of biomedical materials research part a,100a(4),989-998.
MLA	Ma, Ying,et al."Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology".journal of biomedical materials research part a 100a.4(2012):989-998.