Assessment of mucoadhesive buccal tablets with propranolol hydrochloride using principal component analysis

Abstract

Multivariate analysis methods are a set of statistical techniques that allow multiple variables to be tested simultaneously. This makes them ideal for studying relationships in large complex datasets. Pharmaceutical products and drug manufacturing processes are complex systems by nature and can therefore, be described using multifactorial relationships. One of the commonly used methods of multivariate analysis is principal components analysis (PCA), which in short, transforms a large set of variables into a smaller set of new variables, which are designated as principal components (PCs). Principal component represents a linear combination of the original variables (Ferreira et Tobyn, 2015; Esbensen et Geladi, 2009). This study aimed to investigate the variability and the possibility of differentiation of the formulated buccal tablet formulations using PCA.