Experimental design for a pharmaceutical formulation: optimisation and robustness

被引:28
作者
Campisi, B
Chicco, D
Vojnovic, D
Phan-Tan-Luu, R
机构
[1] Univ Trieste, Dept Econ & Commod Sci, I-34127 Trieste, Italy
[2] Univ Trieste, Dept Pharmaceut Sci, I-34127 Trieste, Italy
[3] Ctr St Jerome, LMRE, F-13397 Marseille, France
关键词
experimental mixture design; component proportion approach; mathematically independent variable approach; cosolvent mixture optimisation; theophylline solubility;
D O I
10.1016/S0731-7085(98)00175-7
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In pharmaceutical industries, the formulator is usually faced with the optimisation of the excipient mixture composition aimed to prepare a product with the required characteristics. Experimental research methodology represents an efficient approach for solving such optimisation problems. Planning mixture experiments using specific designs allows to analyse the blending properties of each mixture component and estimate an empirical model approximating the response of interest as a function of excipient proportions. In this study the evolution of theophylline solubility in a four-component system with constraints was analysed using two mixture design approaches: a classical mixture component proportion approach and a mathematically independent variable approach. An optimal region characterised by high solubility values was found and further explored in order to verify the insensitivity of theophylline solubility to slight variations of the excipient mixture composition. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:57 / 65
页数:9
相关论文
共 8 条
[1]   EXTREME VERTEXES DESIGN IN FORMULATION DEVELOPMENT - SOLUBILITY OF BUTOCONAZOLE NITRATE IN A MULTICOMPONENT SYSTEM [J].
ANIK, ST ;
SUKUMAR, L .
JOURNAL OF PHARMACEUTICAL SCIENCES, 1981, 70 (08) :897-900
[2]   STATISTICAL TECHNIQUES APPLIED TO SOLUBILITY PREDICTIONS AND PHARMACEUTICAL FORMULATIONS - AN APPROACH TO PROBLEM-SOLVING USING MIXTURE RESPONSE-SURFACE METHODOLOGY [J].
BELLOTO, RJ ;
DEAN, AM ;
MOUSTAFA, MA ;
MOLOKHIA, AM ;
GOUDA, MW ;
SOKOLOSKI, TD .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 1985, 23 (02) :195-207
[3]   A COMPARISON OF ALGORITHMS FOR CONSTRUCTING EXACT D-OPTIMAL DESIGNS [J].
COOK, RD ;
NACHTSHEIM, CJ .
TECHNOMETRICS, 1980, 22 (03) :315-324
[4]  
Cornell JA., 1990, EXPT MIXTURES
[5]  
SCHEFFE H, 1958, J ROY STAT SOC B, V20, P344
[6]   EXPERIMENTAL DESIGNS FOR QUADRATIC MODELS IN CONSTRAINED MIXTURE SPACES [J].
SNEE, RD .
TECHNOMETRICS, 1975, 17 (02) :149-159
[7]   ASSESSING THE ACCURACY OF MIXTURE MODEL REGRESSION CALCULATIONS [J].
SNEE, RD ;
RAYNER, AA .
JOURNAL OF QUALITY TECHNOLOGY, 1982, 14 (02) :67-79
[8]   Mixture experimental design applied to solubility predictions [J].
Vojnovic, D ;
Chicco, D .
DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 1997, 23 (07) :639-645