Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms

Purpose: In this work a numerical method, based on the use of spectrophotometric data coupled to partial least squares (PLS) regression and net analyte preprocessing combined with classical least square (NAP/CLS) multivariate calibration, is reported for the simultaneous determination of metformin h...

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Main Authors: Vipin Saini, Mahendra K. Sagar, Radhika Bhaskar, Rahul Bhaskar
Format: Article
Language:English
Published: Tabriz University of Medical Sciences 2013-02-01
Series:Advanced Pharmaceutical Bulletin
Subjects:
Online Access:http://journals.tbzmed.ac.ir/PDF/APB/Manuscript/APB-3-79.pdf
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spelling doaj-f838ff19e9d44aafb00f4c31124ee85c2020-11-24T23:23:06ZengTabriz University of Medical Sciences Advanced Pharmaceutical Bulletin2228-58812251-73082013-02-0131798410.5681/apb.2013.013Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage FormsVipin SainiMahendra K. SagarRadhika Bhaskar, Rahul BhaskarPurpose: In this work a numerical method, based on the use of spectrophotometric data coupled to partial least squares (PLS) regression and net analyte preprocessing combined with classical least square (NAP/CLS) multivariate calibration, is reported for the simultaneous determination of metformin hydrochloride (MET), gliclazide (GLZ) and pioglitazone hydrochloride (PIO) in synthetic samples and combined commercial tablets. Methods: Spectra of MET, GLZ and PIO were recorded at concentrations within their linear ranges (5-25 μg/ml, 0.5-8 μg/ml and 0.5-3 μg/ml respectively) and were used to compute a total of 25 synthetic mixtures involving 15 calibration and 10 validation sets between wavelength range of 200 and 400 nm in 0.1N HCl. The suitability of the models was decided on the basis of root mean square error (RMSE) values of calibration and validation data. Results: The analytical performances of these chemometric methods were characterized by relative prediction errors and recovery studies (%) and were compared with each other. These two methods were successfully applied to pharmaceutical formulation, tablet, with no interference with excipients as indicated by the recovery study results. Mean recoveries of the commercial formulation set together with the figures of merit (calibration sensitivity, selectivity, limit of detection, limit of quantification etc.) were estimated. Conclusion: The proposed methods are simple, rapid and can be easily used as an alternative analysis tool in the quality control of drugs and formulation.http://journals.tbzmed.ac.ir/PDF/APB/Manuscript/APB-3-79.pdfPartial least-squaresSpectroscopyMetforminGliclazidePioglitazone
collection DOAJ
language English
format Article
sources DOAJ
author Vipin Saini
Mahendra K. Sagar
Radhika Bhaskar, Rahul Bhaskar
spellingShingle Vipin Saini
Mahendra K. Sagar
Radhika Bhaskar, Rahul Bhaskar
Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
Advanced Pharmaceutical Bulletin
Partial least-squares
Spectroscopy
Metformin
Gliclazide
Pioglitazone
author_facet Vipin Saini
Mahendra K. Sagar
Radhika Bhaskar, Rahul Bhaskar
author_sort Vipin Saini
title Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
title_short Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
title_full Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
title_fullStr Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
title_full_unstemmed Multivariate Chemometric Assisted Analysis of Metformin Hydrochloride, Gliclazide and Pioglitazone Hydrochloride in Bulk Drug and Dosage Forms
title_sort multivariate chemometric assisted analysis of metformin hydrochloride, gliclazide and pioglitazone hydrochloride in bulk drug and dosage forms
publisher Tabriz University of Medical Sciences
series Advanced Pharmaceutical Bulletin
issn 2228-5881
2251-7308
publishDate 2013-02-01
description Purpose: In this work a numerical method, based on the use of spectrophotometric data coupled to partial least squares (PLS) regression and net analyte preprocessing combined with classical least square (NAP/CLS) multivariate calibration, is reported for the simultaneous determination of metformin hydrochloride (MET), gliclazide (GLZ) and pioglitazone hydrochloride (PIO) in synthetic samples and combined commercial tablets. Methods: Spectra of MET, GLZ and PIO were recorded at concentrations within their linear ranges (5-25 μg/ml, 0.5-8 μg/ml and 0.5-3 μg/ml respectively) and were used to compute a total of 25 synthetic mixtures involving 15 calibration and 10 validation sets between wavelength range of 200 and 400 nm in 0.1N HCl. The suitability of the models was decided on the basis of root mean square error (RMSE) values of calibration and validation data. Results: The analytical performances of these chemometric methods were characterized by relative prediction errors and recovery studies (%) and were compared with each other. These two methods were successfully applied to pharmaceutical formulation, tablet, with no interference with excipients as indicated by the recovery study results. Mean recoveries of the commercial formulation set together with the figures of merit (calibration sensitivity, selectivity, limit of detection, limit of quantification etc.) were estimated. Conclusion: The proposed methods are simple, rapid and can be easily used as an alternative analysis tool in the quality control of drugs and formulation.
topic Partial least-squares
Spectroscopy
Metformin
Gliclazide
Pioglitazone
url http://journals.tbzmed.ac.ir/PDF/APB/Manuscript/APB-3-79.pdf
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AT radhikabhaskarrahulbhaskar multivariatechemometricassistedanalysisofmetforminhydrochloridegliclazideandpioglitazonehydrochlorideinbulkdruganddosageforms
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