Univariate versus multivariate approaches for resolving the overlapped spectra of azelastine hydrochloride and mometasone furoate.

Azelastine hydrochloride (AZE) and Mometasone furoate (MOM) combination is used to treat allergic rhinitis' symptoms. The aim of this work is to qualitatively and quantitatively analyze both medications using univariate and multivariate spectrophotometric techniques in a comparative study. Regarding univariate approaches; AZE was quantified by direct measurement at 291 nm within (5-60 μg/mL) concentration range. While, MOM was assayed by absorption correction (AC) approach at 250 nm within the range of (2-18 μg/mL). The LOD values for AZE and MOM were (0.79 μg/mL) and (0.21 μg/mL), respectively. Classical least squares (CLS), partial least squares (PLS), principal component regression (PCR), multivariate curve resolution-alternating least squares (MCR-ALS) and artificial neural networks (ANN) were the applied multivariate chemometric models. The proposed methods were utilized for analyzing the binary mixture in laboratory-synthetic mixtures and pharmaceutical preparation with correlation coefficients values ≥ 0.9996. No statistically significant variation was found between the applied methods and the reported HPLC one. The methods' sustainability was assessed using blue applicability grade index (BAGI) and Red-Green-Blue 12 (RGB12) metrics. The obtained findings revealed that the suggested methodologies are safer option than the published HPLC technique for the conventional pharmaceutical analysis of the studied medications.