Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities
Abstract The multivariate models that are used for spectral data analysis have many beneficial applications, and one of the important applications is the analysis of drugs and their impurities. Three Chemometrically-assisted spectrophotometric models have been proposed and validated. The proposed mo...
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BMC
2023-12-01
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Series: | BMC Chemistry |
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Online Access: | https://doi.org/10.1186/s13065-023-01095-x |
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author | Mona A. Abdel Rahman Mohamed R. Elghobashy Hala E. Zaazaa Sally S. El-Mosallamy |
author_facet | Mona A. Abdel Rahman Mohamed R. Elghobashy Hala E. Zaazaa Sally S. El-Mosallamy |
author_sort | Mona A. Abdel Rahman |
collection | DOAJ |
description | Abstract The multivariate models that are used for spectral data analysis have many beneficial applications, and one of the important applications is the analysis of drugs and their impurities. Three Chemometrically-assisted spectrophotometric models have been proposed and validated. The proposed models are Partial Least Squares (PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS). The advanced chemometric models were applied to resolve the significantly overlapping spectra of Etoricoxib (ETO) and Paracetamol (PCM), along with impurities of PCM namely; P-aminophenol (PAP) and P-hydroxy acetophenone (PHA). The proposed models succeeded in simultaneously analyzing the mixture of ETO and PCM along with the impurities of PCM. So, the proposed techniques can be used without requiring a separation step in the analysis of pharmaceutical formulation. Moreover, no significant differences were found when the results of the suggested and published chemometric models were compared statistically with the reported HPLC method. |
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institution | Directory Open Access Journal |
issn | 2661-801X |
language | English |
last_indexed | 2024-03-09T01:21:26Z |
publishDate | 2023-12-01 |
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spelling | doaj.art-5f069ab803ba4b83bc3b0cff0675f7402023-12-10T12:06:03ZengBMCBMC Chemistry2661-801X2023-12-0117111110.1186/s13065-023-01095-xNovel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impuritiesMona A. Abdel Rahman0Mohamed R. Elghobashy1Hala E. Zaazaa2Sally S. El-Mosallamy3Analytical Chemistry Department, Faculty of Pharmacy, October 6 UniversityAnalytical Chemistry Department, Faculty of Pharmacy, October 6 UniversityAnalytical Chemistry Department, Faculty of Pharmacy, Cairo UniversityAnalytical Chemistry Department, Faculty of Pharmacy, Cairo UniversityAbstract The multivariate models that are used for spectral data analysis have many beneficial applications, and one of the important applications is the analysis of drugs and their impurities. Three Chemometrically-assisted spectrophotometric models have been proposed and validated. The proposed models are Partial Least Squares (PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS). The advanced chemometric models were applied to resolve the significantly overlapping spectra of Etoricoxib (ETO) and Paracetamol (PCM), along with impurities of PCM namely; P-aminophenol (PAP) and P-hydroxy acetophenone (PHA). The proposed models succeeded in simultaneously analyzing the mixture of ETO and PCM along with the impurities of PCM. So, the proposed techniques can be used without requiring a separation step in the analysis of pharmaceutical formulation. Moreover, no significant differences were found when the results of the suggested and published chemometric models were compared statistically with the reported HPLC method.https://doi.org/10.1186/s13065-023-01095-xEtoricoxibParacetamolImpuritiesPLSANNMCR-ALS |
spellingShingle | Mona A. Abdel Rahman Mohamed R. Elghobashy Hala E. Zaazaa Sally S. El-Mosallamy Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities BMC Chemistry Etoricoxib Paracetamol Impurities PLS ANN MCR-ALS |
title | Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities |
title_full | Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities |
title_fullStr | Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities |
title_full_unstemmed | Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities |
title_short | Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities |
title_sort | novel analytical method based on chemometric models applied to uv vis spectrophotometric data for simultaneous determination of etoricoxib and paracetamol in presence of paracetamol impurities |
topic | Etoricoxib Paracetamol Impurities PLS ANN MCR-ALS |
url | https://doi.org/10.1186/s13065-023-01095-x |
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