Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities

The classical least squares (CLS) model and three augmented CLS models are adopted and validated for the analysis of pyridoxine HCl (PYR), cyclizine HCl (CYC), and meclizine HCl (MEC) in a quinary mixture with two related impurities: the CYC main impurity, Benzhydrol (BEH), which has carcinogenic an...

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Main Authors: Muneera S. M. Al-Saleem, Hany W. Darwish, Ibrahim A. Naguib, Mohammed E. Draz
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/28/20/7044
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author Muneera S. M. Al-Saleem
Hany W. Darwish
Ibrahim A. Naguib
Mohammed E. Draz
author_facet Muneera S. M. Al-Saleem
Hany W. Darwish
Ibrahim A. Naguib
Mohammed E. Draz
author_sort Muneera S. M. Al-Saleem
collection DOAJ
description The classical least squares (CLS) model and three augmented CLS models are adopted and validated for the analysis of pyridoxine HCl (PYR), cyclizine HCl (CYC), and meclizine HCl (MEC) in a quinary mixture with two related impurities: the CYC main impurity, Benzhydrol (BEH), which has carcinogenic and hepatotoxic effects, and the MEC official impurity, 4-Chlorobenzophenone (BEP). The proposed augmented CLS models are orthogonal signal correction CLS (OSC-CLS), direct orthogonal signal correction CLS (DOSC-CLS), and net analyte processing CLS (NAP-CLS). These models were applied to quantify the three active constituents in their raw materials and their corresponding dosage forms using their UV spectra. To evaluate the CLS-based models sensibly, we design a comparative study involving two sets: the training set to construct models and the validation set to assess the prediction abilities of these models. A five-level, five-factor calibration design was established to produce 25 mixtures for the calibration set. In addition, 16 experiments were performed for a test set distributed equally between the in-space and out-space samples. The primary criterion for comparing the models’ performance was the validation set’s root mean square error of prediction (RMSEP) value. Finally, augmented CLS models showed acceptable results for assaying the three analytes. The results were compared statistically with the reported HPLC methods; however, the DOSC-CLS model proved the best for assaying the dosage forms.
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spelling doaj.art-aa3b84f4cd7543da93147cfeb0bc58ad2023-11-19T17:31:57ZengMDPI AGMolecules1420-30492023-10-012820704410.3390/molecules28207044Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related ImpuritiesMuneera S. M. Al-Saleem0Hany W. Darwish1Ibrahim A. Naguib2Mohammed E. Draz3Department of Chemistry, Science College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi ArabiaDepartment of Pharmaceutical Chemistry, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Delta University for Science and Technology, Gamasa 35712, EgyptThe classical least squares (CLS) model and three augmented CLS models are adopted and validated for the analysis of pyridoxine HCl (PYR), cyclizine HCl (CYC), and meclizine HCl (MEC) in a quinary mixture with two related impurities: the CYC main impurity, Benzhydrol (BEH), which has carcinogenic and hepatotoxic effects, and the MEC official impurity, 4-Chlorobenzophenone (BEP). The proposed augmented CLS models are orthogonal signal correction CLS (OSC-CLS), direct orthogonal signal correction CLS (DOSC-CLS), and net analyte processing CLS (NAP-CLS). These models were applied to quantify the three active constituents in their raw materials and their corresponding dosage forms using their UV spectra. To evaluate the CLS-based models sensibly, we design a comparative study involving two sets: the training set to construct models and the validation set to assess the prediction abilities of these models. A five-level, five-factor calibration design was established to produce 25 mixtures for the calibration set. In addition, 16 experiments were performed for a test set distributed equally between the in-space and out-space samples. The primary criterion for comparing the models’ performance was the validation set’s root mean square error of prediction (RMSEP) value. Finally, augmented CLS models showed acceptable results for assaying the three analytes. The results were compared statistically with the reported HPLC methods; however, the DOSC-CLS model proved the best for assaying the dosage forms.https://www.mdpi.com/1420-3049/28/20/7044classical least squarestraining setindependent test setNAP/CLSOSC/CLSDOSC/CLS
spellingShingle Muneera S. M. Al-Saleem
Hany W. Darwish
Ibrahim A. Naguib
Mohammed E. Draz
Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
Molecules
classical least squares
training set
independent test set
NAP/CLS
OSC/CLS
DOSC/CLS
title Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
title_full Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
title_fullStr Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
title_full_unstemmed Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
title_short Comparative Study of Augmented Classical Least Squares Models for UV Assay of Co-Formulated Antiemetics Together with Related Impurities
title_sort comparative study of augmented classical least squares models for uv assay of co formulated antiemetics together with related impurities
topic classical least squares
training set
independent test set
NAP/CLS
OSC/CLS
DOSC/CLS
url https://www.mdpi.com/1420-3049/28/20/7044
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AT hanywdarwish comparativestudyofaugmentedclassicalleastsquaresmodelsforuvassayofcoformulatedantiemeticstogetherwithrelatedimpurities
AT ibrahimanaguib comparativestudyofaugmentedclassicalleastsquaresmodelsforuvassayofcoformulatedantiemeticstogetherwithrelatedimpurities
AT mohammededraz comparativestudyofaugmentedclassicalleastsquaresmodelsforuvassayofcoformulatedantiemeticstogetherwithrelatedimpurities