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.
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DOI：
10.1002/jbm.a.34032
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发表时间：
2012-04
期刊：
影响因子：
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通讯作者：
Ying Ma;Ying Zhang;Shan Zhao;Yu Wang;Siran Wang;Yan Zhou;Nan Li;Hongguo Xie;Weiting Yu;Yang Liu;Wei Wang;Xiao-jun Ma
中科院分区：
文献类型：
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作者：
Ying Ma;Ying Zhang;Shan Zhao;Yu Wang;Siran Wang;Yan Zhou;Nan Li;Hongguo Xie;Weiting Yu;Yang Liu;Wei Wang;Xiao-jun Ma
微囊化已成为药物输送、细胞植入、基于细胞的基因治疗和大规模细胞培养的一种有前途的方法。为了更有效地利用微胶囊，准确构建具有所需性能（包括一定厚度、强度等）的微胶囊膜非常重要。迄今为止，单因素实验已被广泛使用，然而，获得所需的膜制备条件非常耗时。响应面法 (RSM) 是一种用于构建经验模型的数学和统计技术，对于优化反应条件具有重要意义。本研究采用Plackett-Burman法确定了影响海藻酸盐基微胶囊膜性能的三个显着影响因素，包括膜厚度、溶胀度和机械稳定性，然后根据这三个显着影响因素分别用RSM建立了三个经验模型来优化微胶囊膜的制备条件。这些模型可用于预测不同膜制备条件下微胶囊的特性，为优化微胶囊技术提供指导。
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 Plackett-Burman 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.