Приказ основних података о документу

dc.creatorRakić, Tijana
dc.creatorStanimirović, Zorica
dc.creatorDenić, Aleksandar
dc.creatorMarić, Miroslav
dc.creatorJančić-Stojanović, Biljana
dc.creatorMedenica, Mirjana
dc.date.accessioned2019-09-02T11:33:42Z
dc.date.available2019-09-02T11:33:42Z
dc.date.issued2013
dc.identifier.issn0886-9383
dc.identifier.urihttps://farfar.pharmacy.bg.ac.rs/handle/123456789/1895
dc.description.abstractA novel approach to mathematical modeling of chromatographic responses based on interpolation polynomials with divided differences and with finite differences is discussed. These interpolational techniques as well as traditionally applied second-order polynomial models obtained by least squares are compared. Interpolation techniques can be useful in situations where commonly used linear or quadratic models are not applicable: when the nature of dependence is complex or the investigated factor intervals are broad. The three analyzed modeling techniques are incorporated in a design of experiments methodology for systematic development and optimization of liquid chromatographic methods. The direct modeling of retention factors is carried out first, while the objective function for final quality measurement is calculated last. An interpolation polynomial with divided differences resulted in a high quality fit compared with the results obtained by the other two modeling approaches and succeeded in locating the desired optimum. It is shown that this modeling technique can be a useful alternative for modeling of chromatographic responses. Copyrighten
dc.publisherWiley-Blackwell, Hoboken
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172052/RS//
dc.rightsrestrictedAccess
dc.sourceJournal of Chemometrics
dc.subjectinterpolation polynomial with divided differencesen
dc.subjectinterpolation polynomial with finite differencesen
dc.subjectchromatographic response modelingen
dc.subjectoptimizationen
dc.subjectobjective functionsen
dc.subjectliquid chromatographyen
dc.titleComparison of interpolation polynomials with divided differences, interpolation polynomials with finite differences, and quadratic functions obtained by the least squares method in modeling of chromatographic responsesen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractЈанчић-Стојановић, Биљана; Ракић, Тијана; Меденица, Мирјана; Марић, Мирослав; Денић, Aлександар; Станимировић, Зорица;
dc.citation.volume27
dc.citation.issue12
dc.citation.spage466
dc.citation.epage474
dc.citation.other27(12): 466-474
dc.citation.rankM21
dc.identifier.wos000327885200004
dc.identifier.doi10.1002/cem.2559
dc.identifier.scopus2-s2.0-84889658636
dc.type.versionpublishedVersion


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Приказ основних података о документу