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dc.contributor.authorÇayan, Fatih
dc.contributor.authorDeveci, Ebru
dc.contributor.authorTel-Çayan, Gülsen
dc.contributor.authorDuru, Mehmet Emin
dc.date.accessioned2020-11-20T14:39:35Z
dc.date.available2020-11-20T14:39:35Z
dc.date.issued2020
dc.identifier.issn0003-2719
dc.identifier.issn1532-236X
dc.identifier.urihttps://doi.org/10.1080/00032719.2020.1759082
dc.identifier.urihttps://hdl.handle.net/20.500.12809/504
dc.descriptionDeveci, Ebru/0000-0002-2597-9898; Tel-Cayan, Gulsen/0000-0002-1916-7391; DURU, Mehmet Emin/0000-0001-7252-4880en_US
dc.descriptionWOS: 000532995000001en_US
dc.description.abstractMushrooms have been used since ancient times because of their nutritional, medicinal and economic potential. In this study, fatty acid compositions of seventeen mushroom species, naturally growing in Turkey, were determined by using gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). Totally, twenty-four fatty acids were identified in mushroom species. Generally, oleic (6.76-59.25%), linoleic (6.45-61.63%), palmitic (3.57-28.09%) and stearic (0.90-19.77%) acids were identified as the main fatty acids in all studied mushroom species. Principal component analyses (PCA) and hierarchical clustering analyses (HCA) were applied to analyze the chemometry of twenty-four fatty acids of the seventeen mushroom species by using Minitab 16.0 software. The main fatty acid compounds found in the mushrooms and their concentrations have been effective in distinguishing mushroom species from each other. As a result of PCA and HCA analysis, it was determined that Daedalea quercina (DQ) was distinctly separated from other mushroom species in terms of fatty acid composition. This study reveals that the chemometric analysis by PCA and HCA techniques could be used for the classification of the mushroom species according to their fatty acid compositions.en_US
dc.item-language.isoengen_US
dc.publisherTaylor & Francis Incen_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChemometric Analysisen_US
dc.subjectFatty Acidsen_US
dc.subjectHierarchical Clustering Analysesen_US
dc.subjectMushroom Speciesen_US
dc.subjectPrincipal Component Analysesen_US
dc.titleChemometric Approaches for the Characterization of the Fatty Acid Composition of Seventeen Mushroom Speciesen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Muğla Meslek Yüksekokulu, Kimya Ve Kimyasal İşleme Teknolojileri Bölümüen_US
dc.contributor.departmentMÜ, Fen Fakültesi, Kimya Bölümü
dc.contributor.institutionauthorÇayan, Fatih
dc.contributor.institutionauthorTel-Çayan, Gülsen
dc.contributor.institutionauthorDuru, Mehmet Emin
dc.identifier.doi10.1080/00032719.2020.1759082
dc.identifier.volume53en_US
dc.identifier.issue17en_US
dc.identifier.startpage2784en_US
dc.identifier.endpage2798en_US
dc.relation.journalAnalytical Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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