Multivariate methods in tablet formulation suitable for early drug development: Predictive models from a screening design of several linked responses

Chemometrics and Intelligent Laboratory Systems

Volumn 87, Issue 1, 2007, Pages 125-130

  Andersson, Mattias ^a   Ringberg, Anders ^a   Gustafsson, Christina ^a  

^a ASTRAZENECA R AND D   (Sweden)

Author keywords

Chemometrics; Confoundings; Desirability function; Experimental design; Fractional factorial design; Normal probability plot; Tablet formulation

Indexed keywords

ARTICLE; DRUG DESIGN; DRUG FORMULATION; DRUG GRANULATION; DRUG RELEASE; DRUG SCREENING; DRUG SOLUBILITY; DRUG SYNTHESIS; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; SIMULATION; TABLET HARDNESS;

EID: 34247592064     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2006.10.008     Document Type: Article

References (21)

1. Bergman R., Johansson M.E., Lundstedt T., Seifert E., and Åberg J. Optimization of a granulation and tabletting process by sequential design and multivariate analysis. Chemom. Intell. Lab. Syst. 44 (1998) 271-286
2. Gabrielsson J., Nyström Å., and Lundstedt T. Multivariate methods in developing an evolutionary strategy for tablet formulation. Drug Dev. Ind. Pharm. 26 3 (2000) 275-296
3. Westerhuis J.A., and Coenegracht P.M.J. Multivariate modelling of the pharmaceutical two-step process of wet granulation and tableting with multiblock partial least squares. J. Chemom. 11 (1997) 379-392
4. Wehrle P., Nobelis Ph., Cuiné A., and Stamm A. Scaling-up of wet granulation - a statistical methodology. Drug Dev. Ind. Pharm. 19 16 (1993) 1983-1997
5. Eriksson L., Johansson E., Müller M., and Wold S. Cluster-based design in environmental QSAR. Quant. Struct.-Act. Res. 16 (1997) 383-390
6. Guervenou J., Giamarchi P., Coulouarn C., Guerda M., Le Lez C., and Oboyet T. Experimental design methodology and data analysis technique applied to optimise an organic synthesis. Chemom. Intell. Lab. Syst. 63 (2002) 81-89
7. Lepeniotis S.S., and Vigezzi M.J. Lowering manufacturing cost of material by formulating it through statistical modeling and design. Chemom. Intell. Lab. Syst. 29 (1995) 133-139
8. Gabrielsson J., Lindberg N.-O., and Lundstedt T. Multivariate methods in pharmaceutical applications. J. Chemom. 16 (2002) 141-160
9. Lindberg N.-O., Jönsson C., and Holmqvist B. Optimization of disintegration time and crushing strength of a tablet formulation. Drug Dev. Ind. Pharm. 11 4 (1985) 931-943
10. Modde 6.0 and its manual, http://www.umetrics.com.
11. Harrington Jr. E.C. The desirability function. Ind. Qual. Control 21 10 (1965) 494-498
12. Hendriks M.W.B., de Boer J.H., Smilde A.K., and Doornbos D.A. Multicriteria decision making. Chemom. Intell. Lab. Syst. 16 (1992) 175-191
13. Derringer G., and Suich R. Simultaneous optimization of several response variables. J. Qual. Technol. 12 (1980) 214-219
14. Nelder J.A., and Mead R. A simplex method for function minimization. Comput. J. 7 (1965) 308-313
15. Eriksson L., Hermens J.L.M., Johansson E., Verhaar H.J.M., and Wold S. Multivariate analysis of aquatic toxicity data with PLS. Aquat. Sci. 57 (1995) 217-241
16. Box G.E.P., Hunter W.G., and Hunter J.S. Statistics for Experimenters (1978), Wiley, New York
17. Lundstedt T., Seifert E., Abramo L., Thelin B., Nyström Å., Pettersen J., and Bergman R. Experimental design and optimisation. Chemom. Intell. Lab. Syst. 42 (1998) 3-40
18. Fell J.T., and Newton J.M. Determination of tablet strength by the diametrical compression test. J. Pharm. Sci. 59 (1970) 688-691
19. Carlson R., Hansson L., and Lundstedt T. Optimization in organic synthesis. Strategies when the desired reaction is accompanied by parasitic side reactions. An example with enamine synthesis. Acta Chem. Scand., B 40 (1986) 444-452
20. Carlson R. Design and Optimization in Organic Synthesis (1992), Elsevier, Amsterdam
21. Wold S., Sjöström M., and Eriksson L. PLS-regression: a basic tool of chemometrics. Chemom. Intell. Lab. Syst. 58 (2001) 109-130