Literature DB >> 23237846

Estimation of ibuprofen in urine and tablet formulations by transmission Fourier Transform Infrared spectroscopy by partial least square.

Abdul Rauf Khaskheli1, S T H Sherazi, S A Mahesar, Aftab A Kandhro, Nazar Hussain Kalwar, Muhammad Ali Mallah.   

Abstract

A rapid, reliable and cost effective analytical procedure for the estimation of ibuprofen in pharmaceutical formulations and human urine samples was developed using transmission Fourier Transform Infrared (FT-IR) spectroscopy. For the determination of ibuprofen, a KBr window with 500 μm spacer was used to acquire the FT-IR spectra of standards, pharmaceuticals as well as urine samples. Partial least square (PLS) calibration model was developed based on region from 1807 to 1,461 cm(-1) using ibuprofen standards ranging from 10 to 100 μg ml(-1). The developed model was evaluated by cross-validation to determine standard error of the models such as root mean square error of calibration (RMSEC), root mean square error of cross validation (RMSECV) and root mean square error of prediction (RMSEP). The coefficient of determination (R(2)) achieved was 0.998 with minimum errors in RMSEC, RMSECV and RMSEP with the value of 1.89%, 1.63% and 4.07%, respectively. The method was successfully applied to urine and pharmaceutical samples and obtained good recovery (98-102%).
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23237846     DOI: 10.1016/j.saa.2012.10.021

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  An augmented classical least squares method for quantitative Raman spectral analysis against component information loss.

Authors:  Yan Zhou; Hui Cao
Journal:  ScientificWorldJournal       Date:  2013-07-08
  1 in total

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