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METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
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Simultaneous Spectrophotometric Determination of Piroxicam, Naproxen, Diclofenac Sodium and Mefenamic Acid in Pharmaceutical Formulations by Partial Least Squares Method |
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* 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 |
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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

