A new technique for spectrophotometric determination of Pseudoephedrine and Guaifenesin in syrup and synthetic mixture

The accuracy in predicting different chemometric methods was compared when applied on ordinary UV spectra and first order derivative spectra. Principal component regression (PCR) and partial least squares with one dependent variable (PLS1) and two dependent variables (PLS2) were applied on spectral...

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Veröffentlicht in:Drug testing and analysis 2011-05, Vol.3 (5), p.319-324
Hauptverfasser: Riahi, Siavash, Hadiloo, Farshad, Milani, Seyed Mohammad R., Davarkhah, Nazila, Ganjali, Mohammad R., Norouzi, Parviz, Seyfi, Payam
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container_end_page 324
container_issue 5
container_start_page 319
container_title Drug testing and analysis
container_volume 3
creator Riahi, Siavash
Hadiloo, Farshad
Milani, Seyed Mohammad R.
Davarkhah, Nazila
Ganjali, Mohammad R.
Norouzi, Parviz
Seyfi, Payam
description The accuracy in predicting different chemometric methods was compared when applied on ordinary UV spectra and first order derivative spectra. Principal component regression (PCR) and partial least squares with one dependent variable (PLS1) and two dependent variables (PLS2) were applied on spectral data of pharmaceutical formula containing Pseudoephedrine (PDP) and Guaifenesin (GFN). The ability to derivitize in resolved overlapping spectra chloropheniramine maleate was evaluated when multivariate methods are adopted for analysis of two component mixtures without using any chemical pretreatment. The chemometrics models were tested on an external validation dataset and finally applied to the analysis of pharmaceuticals. Significant advantages were found in analysis of the real samples when the calibration models from derivative spectra were used. It should also be mentioned that the proposed method is a simple and rapid way requiring no preliminary separation steps and can be used easily for the analysis of these compounds, especially in quality control laboratories. Copyright © 2011 John Wiley & Sons, Ltd. The accuracy in predicting different chemometric methods were compared when applied on ordinary UV spectra and first order derivative spectra. Principal component regression (PCR) and partial least squares with one dependent variable (PLS‐1) and two dependent variables (PLS2) were applied on spectral data of pharmaceutical formula containing Pseudoephedrine (PDP) and Guaifenesin (GFN). The ability to derivitize in resolved overlapping spectra chloropheniramine maleate was evaluated when the multivariate methods are adopted for analysis of two component mixtures without using any chemical pre‐treatment.
doi_str_mv 10.1002/dta.235
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dosage</subject><subject>Pseudoephedrine - analysis</subject><subject>Pseudoephedrine - chemistry</subject><subject>Pseudoephedrine and Guaifenesin</subject><subject>spectrophotometer</subject><subject>Spectrophotometry, Ultraviolet - methods</subject><issn>1942-7603</issn><issn>1942-7611</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kFtLHDEUgINYvFX8B5I3H8rYXCZzeVy0rrbSC2zxMWSSM2x0JxmTjLr_3ti126dC4ATOxwfnQ-iEknNKCPtskjpnXOygA9qWrKgrSne3f8L30WGM94RUZYb20D6jom1KSg7Q0ww7eMYJ9NLZxwlw7wOOI-gU_Lj0yQ-QgtXYQIIwWKeS9Q77Hv-MMBkP4xJMsA6wcgbPJ2V7cBCtw_nFdZjGP4u4dmkJKXsG-5KmAB_Rh16tIhy_zyP0--rL4uK6uP0xv7mY3Raai1IUJehOt7RjrBMt60xTNYw3xlSKCFppQ5uO1aQWrFfctKXoodUaSNNBrY3pFD9CZxvvGHy-LiY52KhhtVIO_BRlFhJOWir-kTr4GAP0cgx2UGEtKZFvjWVuLHO-TJ6-O6duALPl_kbNwKcN8GxXsP6fR14uZhtdsaFtTPCypVV4kFXNayHvvs_lYtE2X39dE_mNvwLCkZdb</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Riahi, Siavash</creator><creator>Hadiloo, Farshad</creator><creator>Milani, Seyed Mohammad R.</creator><creator>Davarkhah, Nazila</creator><creator>Ganjali, Mohammad R.</creator><creator>Norouzi, Parviz</creator><creator>Seyfi, Payam</creator><general>John Wiley &amp; 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Principal component regression (PCR) and partial least squares with one dependent variable (PLS1) and two dependent variables (PLS2) were applied on spectral data of pharmaceutical formula containing Pseudoephedrine (PDP) and Guaifenesin (GFN). The ability to derivitize in resolved overlapping spectra chloropheniramine maleate was evaluated when multivariate methods are adopted for analysis of two component mixtures without using any chemical pretreatment. The chemometrics models were tested on an external validation dataset and finally applied to the analysis of pharmaceuticals. Significant advantages were found in analysis of the real samples when the calibration models from derivative spectra were used. It should also be mentioned that the proposed method is a simple and rapid way requiring no preliminary separation steps and can be used easily for the analysis of these compounds, especially in quality control laboratories. Copyright © 2011 John Wiley &amp; Sons, Ltd. The accuracy in predicting different chemometric methods were compared when applied on ordinary UV spectra and first order derivative spectra. Principal component regression (PCR) and partial least squares with one dependent variable (PLS‐1) and two dependent variables (PLS2) were applied on spectral data of pharmaceutical formula containing Pseudoephedrine (PDP) and Guaifenesin (GFN). The ability to derivitize in resolved overlapping spectra chloropheniramine maleate was evaluated when the multivariate methods are adopted for analysis of two component mixtures without using any chemical pre‐treatment.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><pmid>21598410</pmid><doi>10.1002/dta.235</doi><tpages>6</tpages></addata></record>
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subjects Bronchodilator Agents - administration & dosage
Bronchodilator Agents - analysis
Bronchodilator Agents - chemistry
chemometrics
derivative
Drug Combinations
Drug Stability
Expectorants - administration & dosage
Expectorants - analysis
Expectorants - chemistry
Guaifenesin - administration & dosage
Guaifenesin - analysis
Guaifenesin - chemistry
Least-Squares Analysis
partial least squares (PLS)
Principal Component Analysis
principal component regression (PCR)
Pseudoephedrine - administration & dosage
Pseudoephedrine - analysis
Pseudoephedrine - chemistry
Pseudoephedrine and Guaifenesin
spectrophotometer
Spectrophotometry, Ultraviolet - methods
title A new technique for spectrophotometric determination of Pseudoephedrine and Guaifenesin in syrup and synthetic mixture
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