<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

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

Acta Pharmaceutica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The prediction power of partial least squares (PLS) and multivariate curve resolution-alternating least squares (MCR-ALS) methods have been studied for...

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

Data publikacji: 16 lut 2018

Zakres stron: 61 - 73

Przyjęty: 15 lis 2017

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

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

© by Plamen Katsarov

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Data publikacji: 16 lut 2018

Zakres stron: 61 - 73

Przyjęty: 15 lis 2017

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

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

© by Plamen Katsarov

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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