Fourier transform infrared spectroscopy supported by multivariate statistics in compatibility study of atenolol with excipients

Abstract

The objective of this study was to use Fourier transform infrared spectroscopy (FTIR) and multivariate statistics to investigate compatibility/incompatibility of atenolol as a representative of active pharmaceutical ingredients and excipients, such as β-cyclodextrin, methylcellulose, starch and chitosan, when used in solid dosage formulations. Two-component physical mixtures consisting of atenolol and selected excipients were studied by FTIR spectroscopy and two methods of multivariate statistical analysis – principal component analysis (PCA) and cluster analysis (CA), which were used as a supplementary tool for interpretation of the FTIR spectra. Taking into account variability explained by the first two principal components, the results of PCA were visualized in the form of a bi-dimensional scatterplot. A lack of interaction was confirmed by two distinct clusters created by both atenolol and a particular excipient with their mixtures. In the case of CA, lack of interaction between both ingredients was also indicated by two large clusters at a level of 33 or 66% of the maximum distance. The results of the investigations show that with the exception of β-cyclodextrin, the remaining excipients are compatible with atenolol. These findings were confirmed by complementary methods, such as differential scanning calorimetry, thermogravimetry and X-ray powder diffraction.