Predicting hydrophilic drug encapsulation inside unilamellar liposomes

被引:100
作者
Xu, Xiaoming [1 ]
Khan, Mansoor A. [2 ]
Burgess, Diane J. [1 ]
机构
[1] Univ Connecticut, Dept Pharmaceut Sci, Storrs, CT 06269 USA
[2] FDA CDER DPQR, Silver Spring, MD 20993 USA
关键词
Liposome; Encapsulation efficiency; Lipid molecular area; Mathematical model; Langmuir balance; Log-Normal distribution; REVERSE-PHASE EVAPORATION; SIZE; MULTILAMELLAR; EXTRUSION; PHOSPHATIDYLCHOLINE; GENERATION; MONOLAYERS; EFFICIENCY; INJECTION; THICKNESS;
D O I
10.1016/j.ijpharm.2011.12.019
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
A mathematical model has been developed to predict the encapsulation efficiency of hydrophilic drugs in unilamellar liposomes, and will be useful in formulation development to rapidly achieve optimized formulations. This model can also be used to compare drug encapsulation efficiencies of liposomes prepared via different methods, and will assist in the development of suitable process analytical technologies to achieve real-time monitoring and control of drug encapsulation during liposome manufacturing for hydrophilic molecules. Liposome particle size as well as size distribution, lipid concentration, lipid molecular surface area, and bilayer thickness were used in constructing the model. Most notably, a Log-Normal probability function was utilized to account for sample particle size distribution. This is important to avoid significant estimation error. The model-generated predictions were validated using experimental results as well as literature data, and excellent correlations were obtained in both cases. A Langmuir balance study provided insight regarding the effect of media on the liposome drug encapsulation process. The results revealed an inverse correlation between media ionic strength and lipid average molecular area, which helps to explain the phenomenon of inverse correlation between media ionic strength and drug encapsulation efficiency. Finally, a web application has been written to facilitate use of the model allowing calculations to be easily performed. This model will be useful in formulation development to rapidly achieve optimized formulation. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:410 / 418
页数:9
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