Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis

In the quality control of medicines and the fight against the phenomenon of poor quality medicines, there is an urgent need for rapid and broad spectrum methods for screening these types of medicines. In the present work, we have used near infrared spectroscopy combined with multivariate data analys...

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Main Authors: Abdoul Karim SAKIRA, Corenthin MEES, Kris De BRAEKELEER, Cédric DELPORTE, Josias YAMEOGO, Moussa YABRE, Touridomon Issa SOME, Pierre Van ANTWERPEN, Dominique MERTENS, Jean Michel KAUFFMANN
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Talanta Open
Subjects:
PCA
Online Access:http://www.sciencedirect.com/science/article/pii/S2666831920300278
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spelling doaj-d521167f07a94787865f4e38cd9612a92021-06-25T04:50:58ZengElsevierTalanta Open2666-83192021-08-013100027Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysisAbdoul Karim SAKIRA0Corenthin MEES1Kris De BRAEKELEER2Cédric DELPORTE3Josias YAMEOGO4Moussa YABRE5Touridomon Issa SOME6Pierre Van ANTWERPEN7Dominique MERTENS8Jean Michel KAUFFMANN9Laboratoire de Toxicologie, Environnement et Santé (LATES), Université Joseph KI-ZERBO, 03 BP 7021 03 Ouagadougou, Burkina Faso; Corresponding author.Unité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueUnité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueUnité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueLaboratoire de Développement du Médicament (LADME), Université Joseph KI-ZERBO, 03 BP 7021 03 Ouagadougou, Burkina FasoLaboratoire de Toxicologie, Environnement et Santé (LATES), Université Joseph KI-ZERBO, 03 BP 7021 03 Ouagadougou, Burkina FasoLaboratoire de Toxicologie, Environnement et Santé (LATES), Université Joseph KI-ZERBO, 03 BP 7021 03 Ouagadougou, Burkina FasoUnité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueUnité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueUnité de Pharmacognosie, Bioanalyse et Médicaments (RD3), Université Libre de Bruxelles, Campus de la Plaine, ULB CP205/05, boulevard du Triomphe, Ixelles, 1050 Bruxelles, BelgiqueIn the quality control of medicines and the fight against the phenomenon of poor quality medicines, there is an urgent need for rapid and broad spectrum methods for screening these types of medicines. In the present work, we have used near infrared spectroscopy combined with multivariate data analysis to develop chemometric models for the classification and quantification of metronidazole in Burkina Faso pharmaceutical formulations. For this purpose, drug samples were collected in drugstores located in different Burkina Faso border zones. Four product classes were defined based on the national nomenclature: 3 classes for the generic drugs (C1, C3, and C4) and one class for the reference (C2) drugs. The exploratory analysis using PCA identified two clusters of drugs within class C1. Discrimination was confirmed by the developed and optimised DD-SIMCA model, with only one target class. The quality control of the samples from product class C1 was proven to be very satisfactory with specificities and sensitivities of 100%. The quantification models developed with the PLS-R method were successfully applied for the determination of the active ingredient content in the samples, with acceptable relative bias between 0.15 and 12.7 % with respect to the dose determined by the HPLC method. The RMSEC was estimated at 13.57 (R2, 0.9937), the RMSECV at 18.07 (R2, 0.9888) and the RMSEP at 13.69 (R2, 0.9941).The models developed and the results obtained are promising for routine quality control of similar formulations of metronidazole.http://www.sciencedirect.com/science/article/pii/S2666831920300278NIRSMetronidazoleQuality controlPCASIMCAPLS-R
collection DOAJ
language English
format Article
sources DOAJ
author Abdoul Karim SAKIRA
Corenthin MEES
Kris De BRAEKELEER
Cédric DELPORTE
Josias YAMEOGO
Moussa YABRE
Touridomon Issa SOME
Pierre Van ANTWERPEN
Dominique MERTENS
Jean Michel KAUFFMANN
spellingShingle Abdoul Karim SAKIRA
Corenthin MEES
Kris De BRAEKELEER
Cédric DELPORTE
Josias YAMEOGO
Moussa YABRE
Touridomon Issa SOME
Pierre Van ANTWERPEN
Dominique MERTENS
Jean Michel KAUFFMANN
Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
Talanta Open
NIRS
Metronidazole
Quality control
PCA
SIMCA
PLS-R
author_facet Abdoul Karim SAKIRA
Corenthin MEES
Kris De BRAEKELEER
Cédric DELPORTE
Josias YAMEOGO
Moussa YABRE
Touridomon Issa SOME
Pierre Van ANTWERPEN
Dominique MERTENS
Jean Michel KAUFFMANN
author_sort Abdoul Karim SAKIRA
title Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
title_short Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
title_full Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
title_fullStr Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
title_full_unstemmed Determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
title_sort determination of the quality of metronidazole formulations by near-infrared spectrophotometric analysis
publisher Elsevier
series Talanta Open
issn 2666-8319
publishDate 2021-08-01
description In the quality control of medicines and the fight against the phenomenon of poor quality medicines, there is an urgent need for rapid and broad spectrum methods for screening these types of medicines. In the present work, we have used near infrared spectroscopy combined with multivariate data analysis to develop chemometric models for the classification and quantification of metronidazole in Burkina Faso pharmaceutical formulations. For this purpose, drug samples were collected in drugstores located in different Burkina Faso border zones. Four product classes were defined based on the national nomenclature: 3 classes for the generic drugs (C1, C3, and C4) and one class for the reference (C2) drugs. The exploratory analysis using PCA identified two clusters of drugs within class C1. Discrimination was confirmed by the developed and optimised DD-SIMCA model, with only one target class. The quality control of the samples from product class C1 was proven to be very satisfactory with specificities and sensitivities of 100%. The quantification models developed with the PLS-R method were successfully applied for the determination of the active ingredient content in the samples, with acceptable relative bias between 0.15 and 12.7 % with respect to the dose determined by the HPLC method. The RMSEC was estimated at 13.57 (R2, 0.9937), the RMSECV at 18.07 (R2, 0.9888) and the RMSEP at 13.69 (R2, 0.9941).The models developed and the results obtained are promising for routine quality control of similar formulations of metronidazole.
topic NIRS
Metronidazole
Quality control
PCA
SIMCA
PLS-R
url http://www.sciencedirect.com/science/article/pii/S2666831920300278
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