A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients

Attenuate Total Reflectance infrared spectroscopy ATR-IR method is a routine, easy and non-time consuming approach to determine and detect drugs in pharmaceutical samples. In this study, sertraline as a widely used antidepressant drug was mixed with various amounts of tablet matrix excipients (lacto...

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Main Authors: Amirhossein Sakhteman, Fatemeh Ahmadi, Hamidreza Mahsouli, Elahehnaz Parhizkar
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2021-03-01
Series:Trends in Pharmaceutical Sciences
Subjects:
Online Access:https://tips.sums.ac.ir/article_47383_335cc6cf65d684c5935ae9be8db99996.pdf
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author Amirhossein Sakhteman
Fatemeh Ahmadi
Hamidreza Mahsouli
Elahehnaz Parhizkar
author_facet Amirhossein Sakhteman
Fatemeh Ahmadi
Hamidreza Mahsouli
Elahehnaz Parhizkar
author_sort Amirhossein Sakhteman
collection DOAJ
description Attenuate Total Reflectance infrared spectroscopy ATR-IR method is a routine, easy and non-time consuming approach to determine and detect drugs in pharmaceutical samples. In this study, sertraline as a widely used antidepressant drug was mixed with various amounts of tablet matrix excipients (lactose, starch and sodium lauryl sulfate that are common excipients in tablet formulations) and the amount of sertraline was assessed by ATR-IR method. At first, ATR-IR spectra data converted to normal matrix by SNV preprocessing approach and then, related signals were assessed by chemometrics model (Partial least squares discriminant analysis (PLS-DA)) with different variables. PLS-DA is able to analyze highly noisy ATR-IR data and can provide a variety of useful and accurate statistics and predictions. The model was able to determine sertraline amount in précised approach with zero error percentage when the number of the components was 7. As a result, the method was able to predict the sertraline amount and can be used in other applications of drug quantitation.
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spelling doaj.art-1397cbdb1b80481f8ca5b9dc0174c5432022-12-21T18:22:40ZengShiraz University of Medical SciencesTrends in Pharmaceutical Sciences2423-56522021-03-0171212610.30476/tips.2021.90236.108147383A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipientsAmirhossein Sakhteman0Fatemeh Ahmadi1Hamidreza Mahsouli2Elahehnaz Parhizkar3Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran Research Center for Nanotechnology in Drug Delivery, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Pharmaceutics, School of Pharmacy , Shiraz University of Medical Sciences , Shiraz , Iran.Attenuate Total Reflectance infrared spectroscopy ATR-IR method is a routine, easy and non-time consuming approach to determine and detect drugs in pharmaceutical samples. In this study, sertraline as a widely used antidepressant drug was mixed with various amounts of tablet matrix excipients (lactose, starch and sodium lauryl sulfate that are common excipients in tablet formulations) and the amount of sertraline was assessed by ATR-IR method. At first, ATR-IR spectra data converted to normal matrix by SNV preprocessing approach and then, related signals were assessed by chemometrics model (Partial least squares discriminant analysis (PLS-DA)) with different variables. PLS-DA is able to analyze highly noisy ATR-IR data and can provide a variety of useful and accurate statistics and predictions. The model was able to determine sertraline amount in précised approach with zero error percentage when the number of the components was 7. As a result, the method was able to predict the sertraline amount and can be used in other applications of drug quantitation.https://tips.sums.ac.ir/article_47383_335cc6cf65d684c5935ae9be8db99996.pdfatr-irchemometricsplsdasertraline
spellingShingle Amirhossein Sakhteman
Fatemeh Ahmadi
Hamidreza Mahsouli
Elahehnaz Parhizkar
A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
Trends in Pharmaceutical Sciences
atr-ir
chemometrics
plsda
sertraline
title A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
title_full A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
title_fullStr A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
title_full_unstemmed A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
title_short A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients
title_sort novel classification method for determination of sertraline in pharmaceutical formulation containing different amount of excipients
topic atr-ir
chemometrics
plsda
sertraline
url https://tips.sums.ac.ir/article_47383_335cc6cf65d684c5935ae9be8db99996.pdf
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