Original scientific paper

https://doi.org/10.2478/acph-2018-0008

Advanced spectrophotometric chemometric methods for resolving the binary mixture of doxylamine succinate and pyridoxine hydrochloride

PLAMEN KATSAROV orcid.org/0000-0002-9158-6208 ; Department of Pharmaceutical Sciences, Faculty of Pharmacy, Medical University-Plovdiv 4002 Plovdiv, Bulgaria
GEORGI GERGOV ; Department of Chemistry, Faculty of Pharmacy, Medical University Sofia, 1000 Sofia, Bulgaria
AYLIN ALIN orcid.org/0000-0002-2977-331X ; Department of Statistics, Dokuz Eylul University, 35160 Izmir, Turkey
BISSERA PILICHEVA orcid.org/0000-0002-5737-536X ; Department of Pharmaceutical Sciences, Faculty of Pharmacy, Medical University-Plovdiv 4002 Plovdiv, Bulgaria
YAHYA AL-DEGS ; Chemistry Department, The Hashemite University, P. O. Box 150459 Zarqa 13115, Jordan
VASIL SIMEONOV orcid.org/0000-0003-1164-9561 ; Laboratory of Chemometrics and Environmetrics, Faculty of Chemistry and Pharmacy, Sofia University “St. Kliment Ohridski” 1164 Sofia, Bulgaria
MARGARITA KASSAROVA orcid.org/0000-0002-9158-6208 ; Department of Pharmaceutical Sciences, Faculty of Pharmacy, Medical University-Plovdiv 4002 Plovdiv, Bulgaria; High-technological Center of Emergency Medicine, Plovdiv, Bulgaria

Abstract

The prediction power of partial least squares (PLS) and multivariate curve resolution-alternating least squares (MCR-ALS) methods have been studied for simultaneous quantitative analysis of the binary drug combination – doxylamine succinate and pyridoxine hydrochloride. Analysis of first-order UV overlapped spectra was performed using different PLS models – classical PLS1 and PLS2 as well as partial robust M-regression (PRM). These linear models were compared to MCR-ALS with equality and correlation constraints (MCR-ALS-CC). All techniques operated within the full spectral region and extracted maximum information for the drugs analysed. The developed chemometric methods were validated on external sample sets and were applied to the analyses of pharmaceutical formulations. The obtained statistical parameters were satisfactory for calibration and validation sets. All developed methods can be successfully applied for simultaneous spectrophotometric determination of doxylamine and pyridoxine both in laboratory-prepared mixtures and commercial dosage forms.

Keywords

doxylamine succinate; pyridoxine hydrochloride; binary mixture; partial least squares (PLS); partial robust M-regression (PRM); multivariate curve resolution-alternative least squares (MCR-ALS)

Hrčak ID:

189686

URI

https://hrcak.srce.hr/189686

Publication date:

31.3.2018.

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