Multivariate methods in the development of a new tablet formulation

被引:20
作者
Gabrielsson, J
Lindberg, NO
Pålsson, M
Nicklasson, F
Sjöström, M
Lundstedt, T
机构
[1] Umea Univ, Dept Chem, Chemometr Res Grp, Umea, Sweden
[2] Pfizer Consumer Healthcare, Pharmaceut R&D, Helsingborg, Sweden
[3] Melacure Therapeut AB, Uppsala, Sweden
关键词
multivariate design; principal properties; PCA; PLS; excipient; tablet formulation; DESIGN;
D O I
10.1081/DDC-120025864
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The overall objective of this article is to use an efficient approach to find a suitable tablet formulation for direct compression. By using traditional approaches to statistical experimental design in tablet formulation, the number of experiments quickly grows when many descriptive variables or many excipients are included. To facilitate the screening process, a multivariate design, which allows a systematical evaluation of a large number of excipients with a limited number of experiments, was implemented. Formulations with acceptable values for disintegration time and crushing strength were obtained with some of the formulations in the present study. The multivariate experimental design strategy yielded PLS models that will be used to identify a region of interest for the optimization. The strategy is general and can be applied in many different areas of pharmaceutical research and development.
引用
收藏
页码:1053 / 1075
页数:23
相关论文
共 11 条
[1]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[2]   Mixture design design generation, PLS analysis, and model usage [J].
Eriksson, L ;
Johansson, E ;
Wikström, C .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1998, 43 (1-2) :1-24
[3]   Multivariate methods in developing an evolutionary strategy for tablet formulation [J].
Gabrielsson, J ;
Nyström, Å ;
Lundstedt, T .
DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 2000, 26 (03) :275-296
[4]   Multivariate methods in pharmaceutical applications [J].
Gabrielsson, J ;
Lindberg, NO ;
Lundstedt, T .
JOURNAL OF CHEMOMETRICS, 2002, 16 (03) :141-160
[5]   Experimental design and optimization [J].
Lundstedt, T ;
Seifert, E ;
Abramo, L ;
Thelin, B ;
Nystrom, A ;
Pettersen, J ;
Bergman, R .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1998, 42 (1-2) :3-40
[6]   Near infrared reflectance spectroscopy for online particle size analysis of powders and ground materials [J].
Pasikatan, MC ;
Steele, JL ;
Spillman, CK ;
Haque, E .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2001, 9 (03) :153-164
[7]   CLASSIFICATION OF ESTRADURIN(R) BATCHES - CORRELATION BETWEEN P-31 NMR AND A BIOLOGICAL DURATION TEST FOR BATCH APPROVAL [J].
THELIN, B ;
LUNDSTEDT, T ;
LUNDGREN, R ;
OLSSON, A ;
BATRA, S .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1995, 27 (01) :135-145
[8]   PRINCIPAL COMPONENT ANALYSIS [J].
WOLD, S ;
ESBENSEN, K ;
GELADI, P .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1987, 2 (1-3) :37-52
[9]   MULTIVARIATE DESIGN [J].
WOLD, S ;
SJOSTROM, M ;
CARLSON, R ;
LUNDSTEDT, T ;
HELLBERG, S ;
SKAGERBERG, B ;
WIKSTROM, C ;
OHMAN, J .
ANALYTICA CHIMICA ACTA, 1986, 191 :17-32
[10]   THE COLLINEARITY PROBLEM IN LINEAR-REGRESSION - THE PARTIAL LEAST-SQUARES (PLS) APPROACH TO GENERALIZED INVERSES [J].
WOLD, S ;
RUHE, A ;
WOLD, H ;
DUNN, WJ .
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1984, 5 (03) :735-743