Regresní analýza disolučního profilu léčiva a odhad mechanismu uvolňování léčiva

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dc.contributor.author Muselik, Jan cze
dc.contributor.author Komersová, Alena cze
dc.contributor.author Lochař, Václav cze
dc.contributor.author Kubova, Katerina cze
dc.date.accessioned 2020-03-19T12:51:01Z
dc.date.available 2020-03-19T12:51:01Z
dc.date.issued 2019 cze
dc.identifier.issn 0009-2770 cze
dc.identifier.uri https://hdl.handle.net/10195/74908
dc.description.abstract Kvantitativní analýza disolučních dat na základě matematického popisu disolučního profilu léčiva umožňuje určit mechanismus uvolňování léčiva a získat kinetické parametry uvolňování léčiva v podmínkách in vitro, které mohou být využity např. pro predikci mechanismu a rychlosti uvolňování léčiva v podmínkách in vivo. cze
dc.format p. 328-336 cze
dc.language.iso cze cze
dc.publisher Česká společnost chemická cze
dc.relation.ispartof Chemické listy, volume 113, issue: 5 cze
dc.rights open access eng
dc.subject disoluce cze
dc.subject matematický model cze
dc.subject nelineární regresní analýza cze
dc.subject disoluce eng
dc.subject matematický model eng
dc.subject nelineární eng
dc.subject regresní analýza eng
dc.title Regresní analýza disolučního profilu léčiva a odhad mechanismu uvolňování léčiva cze
dc.title.alternative Regression Analysis of the Drug Dissolution Profile and Estimation of The Drug Release Mechanism eng
dc.type article cze
dc.description.abstract-translated A drug dissolution profile is one of the most important characteristics of the dosage form with controlled drug release. Obtained dissolution data can be used for evaluation of a drug release rate and mechanism of its release from the dosage form. Nowadays various mathematical models can be used for this purpose. An accordance with a particular mathematical model is determined by regression characteristics and by the relevance of the regression model parameter estimation. Since the dissolution curves are not linear with the exception of the zeroorder kinetics, the transformation of dependencies into a linear form is often performed. However, linearization is connected with a change in the deviation magnitudes and the resulting function does not minimize squared deviations. The main aim of this manuscript was to show an overview of basic mathematical models in a form suitable for nonlinear regression which work with original experimental data and to summarize basic steps for determining the drug release mechanism and rate constants. eng
dc.peerreviewed yes cze
dc.publicationstatus published version cze
dc.relation.publisherversion http://www.chemicke-listy.cz/ojs3/index.php/chemicke-listy/article/view/3359/3315 cze
dc.identifier.wos 000467386200008 cze
dc.identifier.obd 39883026 cze


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