Table of Contents Author Guidelines Submit a Manuscript
Spectroscopy
Volume 23, Issue 2, Pages 113-121
http://dx.doi.org/10.3233/SPE-2009-0376

Quantitative determination of naltrexone by attenuated total reflectance – FTIR spectrometry using partial least squares (PLS) wavelength selection

Mohammadreza Khanmohammadi,1,4 Hamid Mobedi,2 Elaheh Mobedi,1 Kazem Kargosha,3 Amir Bagheri Garmarudi,1 and Keyvan Ghasemi1

1Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin, Iran
2Department of Novel Drug Delivery Systems, Iran Polymer and Petrochemical Institute, Tehran, Iran
3Department of Chemistry, Chemistry and Chemical Engineering Research Institute, Tehran, Iran
4Department of Chemistry , Faculty of Science, Imam Khomeini International University, P.O. Box 288, Qazvin, Iran

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A new method is presented for quantitative determination of naltrexone in aqueous solutions based up on the wavelength selection in mid-FTIR spectra using partial least squares (PLS) technique. The main aim is to find wavelengths which produce significant improvements in PLS prediction. PLS wavelength selection treatment is performed on the data obtained by attenuated total reflectance Fourier transform infrared spectrometry in 830–1800 cm−1 wavenumber range. No separation or extraction steps are required prior to determination procedure and a simple pretreatment is performed. Absorbance spectra were employed for measurements using a set of 7 aqueous standard solutions of naltrexone. The method is applicable for pharmaceutical samples in aqueous solution in the presence of impurities, while it is simple, rapid and accurate. The results obtained from real samples were compared with those obtained using Ultra Violet spectrophotometry as a reference method. Statistical parameters such as R2, REP, RMSEC and RMSECV were evaluated, and number of factors, number of scans and resolution were also optimized. In this method R2 and RMSEC for proposed procedure have been found to be 0.9983 and 0.1297, respectively.