DICP OpenIR
学科主题物理化学
Modeling and optimization of membrane preparation conditions of the alginate-based microcapsules with response surface methodology
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; Ma XJ(马小军)
关键词Microencapsulation Membrane Preparation Optimization Conditions Response Surface Methodology Modeling
刊名JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
2012-04-01
DOI10.1002/jbm.a.34032
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
关键词[WOS]EXPERIMENTAL-DESIGNS ; SEMIPERMEABLE MICROCAPSULES ; POLYCATION MICROCAPSULES ; SACCHAROMYCES-CEREVISIAE ; MICROENCAPSULATION ; IMMOBILIZATION ; PANCREAS ; ETHANOL ; LIPASE
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.
语种英语
WOS记录号WOS:000300677600020
引用统计
被引频次:22[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://cas-ir.dicp.ac.cn/handle/321008/117773
专题中国科学院大连化学物理研究所
通讯作者Ma XJ(马小军)
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.,...&马小军.(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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2012Wt0r9sSL8M.PDF(2106KB) 开放获取--请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ma, Ying]的文章
[Zhang, Ying]的文章
[Zhao, Shan]的文章
百度学术
百度学术中相似的文章
[Ma, Ying]的文章
[Zhang, Ying]的文章
[Zhao, Shan]的文章
必应学术
必应学术中相似的文章
[Ma, Ying]的文章
[Zhang, Ying]的文章
[Zhao, Shan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。