Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/337
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dc.contributor.authorÇayan, Fatih-
dc.contributor.authorDeveci, Ebru-
dc.contributor.authorÇayan, Gülsen Tel-
dc.contributor.authorDuru, Mehmet Emin-
dc.date.accessioned2021-12-13T10:24:03Z-
dc.date.available2021-12-13T10:24:03Z-
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/20.500.13091/337-
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.language.isoenen_US
dc.publisherTAYLOR & FRANCIS INCen_US
dc.relation.ispartofANALYTICAL LETTERSen_US
dc.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.subjectWild Edible Mushroomsen_US
dc.subjectChemical-Compositionen_US
dc.subjectNutritional-Valueen_US
dc.subjectProfilesen_US
dc.subjectConstituentsen_US
dc.subjectBenefitsen_US
dc.titleChemometric Approaches for the Characterization of the Fatty Acid Composition of Seventeen Mushroom Speciesen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00032719.2020.1759082-
dc.identifier.scopus2-s2.0-85084302709en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Kimya Mühendisliği Bölümüen_US
dc.authoridTel-Cayan, Gulsen/0000-0002-1916-7391-
dc.authorwosidDURU, Mehmet Emin/ABA-2426-2021-
dc.identifier.volume53en_US
dc.identifier.issue17en_US
dc.identifier.startpage2784en_US
dc.identifier.endpage2798en_US
dc.identifier.wosWOS:000532995000001en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid56005323200-
dc.authorscopusid56089358000-
dc.authorscopusid57194732739-
dc.authorscopusid12789661400-
dc.identifier.scopusqualityQ3-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextembargo_20300101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept07. 04. Department of Chemistry and Chemical Processing Technologies-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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