Abstract
OBJECTIVE To select norcantharidin as module drug and synchronously optimize the preparation of low molecular weight(LMW)chitosan nanoparticles(CS-NP)through orthogonal design combined with multi-variable regression analysis.METHODS LMW CS-NP loading norcantharidin was prepared with ionic cross-linkage.Three factors,LCS concentration,TPP concentration and temperature which might affect the preparation technique of CS-NP were arranged in a L9(34)orthogonal experimental table using particle size and entrapment efficiency as integration indexes.Multi-variable regression model combined with the weight value of each indexes/factors was used to fit the design conditions.Meanwhile,two-dimensional/three-dimension curve line/response surface plots showing the index variation with the factors change was drawn,and the experiment results were predicted.RESULTS The particle size of prepared CS-NP by the optimized technique,were(131±6)nm,entrapment efficiency 45.12% and loading capacity 7.3%,and the observed data were similar with the predicted results.CONCLUSION The analytical method of orthogonal data is accurate,efficient and scientific to optimize the preparation of CS-NP.
Key words
orthogonal design /
multiple regress /
chitosan nanoparticle /
formula optimization /
norcantharidin
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ZHNG Wei;GONG Jin-hong;ZHNG Xue-nong;LIU Yng;YNG Zhi-qing.
Multi-Variable Regression Analysis Applied to Synchronously Optimize Preparation of Nanoparticles [J]. Chinese Pharmaceutical Journal, 2008, 43(15): 1162-1166
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