Utility of multivariate analysis in modeling the effects of raw material properties and operating parameters on granule and ribbon properties prepared in roller compaction

Josephine L P Soh; Feng Wang; Nathan Boersen; Rodolfo Pinal; Garnet E Peck; M Teresa Carvajal; James Cheney; Hedinn Valthorsson; Jim Pazdan

doi:10.1080/03639040801925990

Utility of multivariate analysis in modeling the effects of raw material properties and operating parameters on granule and ribbon properties prepared in roller compaction

Drug Dev Ind Pharm. 2008 Oct;34(10):1022-35. doi: 10.1080/03639040801925990.

Authors

Josephine L P Soh¹, Feng Wang, Nathan Boersen, Rodolfo Pinal, Garnet E Peck, M Teresa Carvajal, James Cheney, Hedinn Valthorsson, Jim Pazdan

Affiliation

¹ Department of Industrial and Physical Pharmacy, School of Pharmacy and Pharmaceutical Sciences, Purdue University, West Lafayette, IN 47907, USA.

PMID: 18777445
DOI: 10.1080/03639040801925990

Abstract

This article aimed to model the effects of raw material properties and roller compactor operating parameters (OPs) on the properties of roller compacted ribbons and granules with the aid of principal component analysis (PCA) and partial least squares (PLS) projection. A database of raw material properties was established through extensive physical and mechanical characterization of several microcrystalline cellulose (MCC) and lactose grades and their blends. A design of experiment (DoE) was used for ribbon production. PLS models constructed with only OP-modeled roller compaction (RC) responded poorly. Inclusion of raw material properties markedly improved the goodness of fit (R(2) = .897) and model predictability (Q(2) = 0.72).

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Cellulose
Excipients
Lactose
Least-Squares Analysis
Multivariate Analysis
Principal Component Analysis
Tablets*
Technology, Pharmaceutical*

Substances

Excipients
Tablets
Cellulose
Lactose
microcrystalline cellulose