Analytical chemistry council

METHODS AND OBJECTS OF CHEMICAL ANALYSIS

 

An international journal devoted to all aspects of analytical chemistry

ISSN 2413-6166 (Online), ISSN 1991-0290 (Print)

Kiev University
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Simultaneous Spectrophotometric Determination of Piroxicam, Naproxen, Diclofenac Sodium and Mefenamic Acid in Pharmaceutical Formulations by Partial Least Squares Method

Ruaa M. Mahmood*, Samar A. Darweesh, Nahla A. Alassaf, Rokayia S. Al-Khalisy

* Corresponding authors

Department of Chemistry, College of Education for Pure Science (Ibn Al-Haitham), University of Baghdad, Iraq;

 *e-mail: ruaa.m.m@ihcoedu.uobaghdad.edu.iq

Methods Objects Chem. Anal., 2024, 19(2), p. 101-110

https://doi.org/10.17721/moca.2024.101-110

The article is distributed under open access Creative Commons Attribution License CC BY 4.0.

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Abstract

A chemometric method, partial least squares regression (PLS) was applied for the simultaneous determination of piroxicam (PIR), naproxen (NAP), diclofenac sodium (DIC), and mefenamic acid (MEF) in synthetic mixtures and commercial formulations. The proposed method is based on the use of spectrophotometric data coupled with PLS multivariate calibration. The Spectra of drugs were recorded at concentrations in the linear range of 1.0 - 10 μg mL-1 for NAP and from 1.0 - 20 μg mL-1 for PIR, DIC, and MEF. 34 sets of mixtures were used for calibration and 10 sets of mixtures were used for validation in the wavelength range of 200 to 400 nm with the wavelength interval λ = 1 nm in methanol. This method has been used successfully to quantify drugs in pharmaceutical formulations with no interference from excipients. The proposed method is simple, quick, and can be used as an alternative analysis tool in drug and formulation quality control as well as process control.

Keywords: partial least squares method; piroxicam; naproxen; diclofenac sodium; mefenamic acid

Article language: En


Publisher: Taras Shevchenko National University, Kiev Ukraine

(Analytical chemistry department at Taras Shevchenko National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua, www.univ.kiev.ua, +380 (44) 2393444

The journal is indexed in SCOPUS and Web of Science

The journal website: www.moca.net.ua

The articles in this journal are licensed under CC BY 4.0