Приказ основних података о документу

dc.creatorAćimović, Milica
dc.creatorPezo, Lato
dc.creatorTešević, Vele
dc.creatorČabarkapa, Ivana
dc.creatorTodosijević, Marina
dc.date.accessioned2021-04-26T19:52:36Z
dc.date.available2021-04-26T19:52:36Z
dc.date.issued2020
dc.identifier.issn0926-6690
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/1994
dc.description.abstractA prediction model of retention indices of compounds from the aboveground parts of Satureja kitaibelii essential oil, obtained by hydrodistillation and analysed by Gas Chromatography coupled with Mass Spectrometry (GC-MS), was the aim of this study. The quantitative structure-retention relationship was employed to predict the retention time using five molecular descriptors selected by a genetic algorithm. The selected descriptors were used as inputs of an artificial neural network. Total of 53 experimentally obtained retention indices (log RI) were used to build a prediction model. The selected descriptors were used as inputs of an artificial neural network model, to build a prediction time predictive quantitative structure-retention relationship model. The coefficient of determination for the training cycle was 0.962, indicating that this model could be used for prediction of retention indices for S. kitaibelii essential oil compounds.en
dc.publisherElsevier, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200032/RS//
dc.rightsrestrictedAccess
dc.sourceIndustrial Crops and Products
dc.subjectSatureja kitaibeliien
dc.subjectEssential oilen
dc.subjectHydrodistillationen
dc.subjectGC-MSen
dc.subjectQSRRen
dc.subjectArtificial neural networksen
dc.titleQSRR Model for predicting retention indices of Satureja kitaibelii Wierzb. ex Heuff. essential oil compositionen
dc.typearticle
dc.rights.licenseARR
dc.citation.other154
dc.citation.rankaM21
dc.citation.volume154
dc.identifier.doi10.1016/j.indcrop.2020.112752
dc.identifier.scopus2-s2.0-85087283113
dc.identifier.wos000554526900121
dc.type.versionpublishedVersion


Документи

Thumbnail

Овај документ се појављује у следећим колекцијама

Приказ основних података о документу