A New application of PARAFAC model to UPLC dataset for the quantitative resolution of a tri-component drug mixture

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dc.contributor.authorGüzel, Remziye
dc.contributor.authorErtekin, Zehra Ceren
dc.contributor.authorDinç, Erdal
dc.date.accessioned2022-08-24T07:54:39Z
dc.date.available2022-08-24T07:54:39Z
dc.date.issued2021en_US
dc.departmentDicle Üniversitesi, Ziya Gökalp Eğitim Fakültesi, Matematik ve Fen Bilimleri Eğitimi Bölümüen_US
dc.descriptionWOS:000648949600007
dc.descriptionPMID: 33454729
dc.description.abstractIn the presented work, a three-way analysis of ultra-performance liquid chromatography-photodiode array (UPLC-PDA) dataset was performed by parallel factor analysis (PARAFAC) for quantitatively resolving a ternary mixture containing paracetamol and methocarbamol with indapamide selected as an internal standard in their co-eluted chromatographic conditions. Paracetamol and methocarbamol were quantified in the working range between 3-24 and 5-50 mu g/mL by applying PARAFAC decomposition to UPLC-PDA data array obtained under unresolved chromatographic peak conditions. To compare the experimental results provided by co-eluted UPLC-PARAFAC method, an ordinary UPLC method was developed ensuring proper separation of the peaks. The performance of both PARAFAC and ordinary UPLC methods were assessed by quantifying independent test samples, intra- and inter-day samples and spiked samples of pharmaceutical preparations. Then, both methods were applied for quantitative estimation of the related drugs in a commercial pharmaceutical preparation. In this study, PARAFAC method was proved to be a very powerful alternative for the quality control of pharmaceutical preparations containing paracetamol and methocarbamol even in their co-eluted chromatograms with high precision and accuracy in a short chromatographic runtime of 1.2 min.en_US
dc.identifier.citationGüzel, R., Ertekin, Z.C. ve Dinç, E. (2021). A New application of PARAFAC model to UPLC dataset for the quantitative resolution of a tri-component drug mixture. Journal of Chromatographic Science, 59(4), 361-370. https://doi.org/10.1093/chromsci/bmaa119en_US
dc.identifier.doi10.1093/chromsci/bmaa119
dc.identifier.endpage370en_US
dc.identifier.issn0021-9665
dc.identifier.issn1945-239X
dc.identifier.issue4en_US
dc.identifier.pmid33454729
dc.identifier.scopus2-s2.0-85103305713
dc.identifier.scopusqualityQ3
dc.identifier.startpage361en_US
dc.identifier.urihttps://academic.oup.com/chromsci/article/59/4/361/6102626?login=true
dc.identifier.urihttps://hdl.handle.net/11468/10250
dc.identifier.volume59en_US
dc.identifier.wosWOS:000648949600007
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorGüzel, Remziye
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.relation.ispartofJournal of Chromatographic Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleA New application of PARAFAC model to UPLC dataset for the quantitative resolution of a tri-component drug mixtureen_US
dc.titleA New application of PARAFAC model to UPLC dataset for the quantitative resolution of a tri-component drug mixture
dc.typeArticleen_US

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