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Two new spectrophotometric approaches to the multicomponent analysis of the acetaminophen and caffeine in tablets by classical least-squares and principal component regression techniques

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dc.contributor.author Dinç, Erdal
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2020-04-15T20:11:28Z
dc.date.available 2020-04-15T20:11:28Z
dc.date.issued 2002-01
dc.identifier.citation Dinç, E.; Baleanu, Dumitru, "Two new spectrophotometric approaches to the multicomponent analysis of the acetaminophen and caffeine in tablets by classical least-squares and principal component regression techniques" Farmaco, Vol.57, No.1, pp.33-37, (2002). tr_TR
dc.identifier.issn 0014-827X
dc.identifier.uri http://hdl.handle.net/20.500.12416/3160
dc.description.abstract Classical least-squares (CLS) and principal. component regression (PCR) techniques were proposed for the simultaneous analysis of tablets containing acetaminophen and caffeine without using a chemical separation procedure. The chemometric calibrations were prepared by measuring the absorbances values at the 15 wavelengths in the spectral region 215-285 nm and by using a training set of the mixtures of both drugs in 0.1 M HCl. The obtained chemometric calibrations were used for the estimation of acetaminophen and caffeine in samples. The numerical calculations were performed with the 'MAPLE V' software. By applying two techniques to synthetic mixtures, the mean recoveries and the relative standard deviations in the CLS and PCR techniques were found as 99.5 and 1.29, 99.7 and 1.00% for acetaminophen and 99.9 and 1.92, 100.0 and 1.178% for caffeine, respectively. Our results were compared with those obtained previously by one of us considering HPLC method as a reference method. These two methods were successfully applied to a pharmaceutical tablet formulation of two drugs. (C) 2002 Elsevier Science S.A. All rights reserved. tr_TR
dc.language.iso eng tr_TR
dc.publisher Elsevier Science SA tr_TR
dc.relation.isversionof 10.1016/S0014-827X(01)01169-7 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Spectrophotometric Approach tr_TR
dc.subject Classical Least-Squares tr_TR
dc.subject Principal Component Regression Techniques tr_TR
dc.subject Acetaminophen tr_TR
dc.subject Caffeine tr_TR
dc.title Two new spectrophotometric approaches to the multicomponent analysis of the acetaminophen and caffeine in tablets by classical least-squares and principal component regression techniques tr_TR
dc.type article tr_TR
dc.relation.journal Farmaco tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 57 tr_TR
dc.identifier.issue 1 tr_TR
dc.identifier.startpage 33 tr_TR
dc.identifier.endpage 37 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen-Edebiyat Fakültesi,Matematik Bölümü tr_TR


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