Mapping the Polymorphic Forms of Fexofenadine in Pharmaceutical Tablets Using near Infrared Chemical Imaging. Issue 3 (June 2014)

• Record Type: Journal Article
• Authors: Brondi, Ariadne M.; Terra, Luciana A.; Sabin, Guilherme P.; Garcia, Jerusa S.; Poppi, Ronei J.; Trevisan, Marcello G.
• Is Part Of: Journal of near infrared spectroscopy. Volume 22:Issue 3(2014)
• Page Start: 211
• Page End: 220
• Publication Date: 2014-06
• Subjects: PLS -- MCR-ALS -- near infrared chemical image -- hyperspectral imaging -- polymorphism -- fexofenadine -- HCl; Near infrared spectroscopy -- Periodicals; 543.5
• DOI: 10.1255/jnirs.1094
• Languages: English
• ISSNs: 0967-0335

Abstract

This study presents a comparison of partial least squares (PLS) and multivariate curve resolution (MCR-ALS) in the quantification of polymorphic forms I and II of fexofenadine. HCl in pharmaceutical tablets using near infrared chemical imaging (NIR-CI). The PLS model built using a standard normal variate (SNV) pre-processing method resulted in satisfactory fits between the reference and predicted values, with a root mean square error of prediction ( RMSEP ) for both polymorphic forms below 1.5% (w/w). The MCR-ALS results were obtained using an augmented matrix and SNV pre-processing method. The lack of fit value for decomposition was 0.13%, the correlation coefficient between the pure spectra and the obtained spectral profiles was 99.94% and the RMSEP was below 6% (w/w). The MCR-ALS model efficiently quantified the polymorphic forms and generated distribution maps; however, the PLS model exhibited better recovery of the concentrations.