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学科主题: 药学
题名:
Two modelling data analytical methods applied to optimise the preparation of norcantharidin chitosan nanoparticles
作者: Zhang, Wei1; Liu, Yang1; Chen, Xiao-Yan1; Bei, Yong-Yan1; Xu, Jing-Yu1; Wang, Wen-Juan1; Zhang, Xue-Nong1; Zhang, Qiang2
关键词: chitosan ; nanoparticles ; non-linear regression ; artificial neural networks
刊名: JOURNAL OF EXPERIMENTAL NANOSCIENCE
发表日期: 2010
DOI: 10.1080/17458080903513284
卷: 5, 期:3, 页:271-284
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Chemistry, Multidisciplinary ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied
研究领域[WOS]: Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
关键词[WOS]: PH-SENSITIVE NANOPARTICLES ; CYCLOSPORINE-A ; DELIVERY ; DESIGN ; EXTRACTION ; SYSTEMS ; PROTEIN ; BIOAVAILABILITY ; MICROSPHERES ; INHIBITOR
英文摘要:

In our study, the non-linear regression model and artificial neural networks (ANNs) were used to optimise the preparation of the loading norcantharidin chitosan nanoparticles (NPs) by ionic cross-linkage. Two major indexes, the particle size and the entrapment efficiency of the drug vehicles were synchronously optimised according to the normalised value calculated referring to the weights of the indexes and factors. For the purpose, a multiple regression model was constructed for fitting several preparation factors, including the low molecular weight of chitosan (LCS), sodium tripolyphosphate (TPP) concentrations and the temperature of the ionic cross-linkage reaction. Each of the level values in the factors was arranged using the L9(34) table and their linear weighted sum of the normalised value was taken as optimised object. A back-propagation (BP) network (3 x 7 x 2) in ANNs was created and trained for further checking the optimal results and the trained network was applied to simulate the experiment system and screen the optimal conditions. Finally, when the weights of temperature, particle size and entrapment efficiency were 0.1, 0.4 and 0.5, respectively, the best preparation condition of NPs was obtained as 131 +/- 7 nm of particle size and 45.12% of entrapment efficiency at 40 degrees C.

语种: 英语
所属项目编号: 2006BAI09B00 ; 07C26223201333 ; BS2005022 ; JHB05-46 ; H200630
项目资助者: National Key Technology RD Program ; Innovation Fund of Medium or Small Science and Technology Enterprises ; National Science and Technology Ministry ; Social Development Foundation of Jiangsu Province ; Department of Education of Jinagsu Province ; Health Department of Jinagsu Province
WOS记录号: WOS:000279451800008
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/51280
Appears in Collections:北京大学药学院_药剂学系_期刊论文

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作者单位: 1.Soochow Univ, Coll Pharm, Suzhou 215123, Peoples R China
2.Peking Univ, Sch Pharmaceut Sci, Dept Pharmaceut, Beijing 100083, Peoples R China

Recommended Citation:
Zhang, Wei,Liu, Yang,Chen, Xiao-Yan,et al. Two modelling data analytical methods applied to optimise the preparation of norcantharidin chitosan nanoparticles[J]. JOURNAL OF EXPERIMENTAL NANOSCIENCE,2010,5(3):271-284.
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