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  5. Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΧΗΜ
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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/8337
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dc.contributor.authorTsogas, G. Z.en
dc.contributor.authorGiokas, D. L.en
dc.contributor.authorKapakoglou, N. I.en
dc.contributor.authorEfstathiou, D. E.en
dc.contributor.authorVlessidis, A. G.en
dc.contributor.authorDimitrellos, G. N.en
dc.contributor.authorGeorgiadis, T. D.en
dc.contributor.authorCharchanti, A. V.en
dc.date.accessioned2015-11-24T16:40:56Z-
dc.date.available2015-11-24T16:40:56Z-
dc.identifier.issn0003-2719-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/8337-
dc.rightsDefault Licence-
dc.subjectantioxidant activityen
dc.subjectcluster analysisen
dc.subjectdiscriminant analysisen
dc.subjectherbsen
dc.subjectmineral elementsen
dc.subjectphenolics and flavonoidsen
dc.subjectantioxidant capacityen
dc.subjectmultivariate-analysisen
dc.subjectgeographical originen
dc.subjectpolyphenolicsen
dc.subjectproductsen
dc.subjectextractsen
dc.subjectvarietyen
dc.subjectisotopeen
dc.subjectmarketen
dc.subjectfoodsen
dc.titleLand-Based Classification of Herb's Origin Based on Supervised and Unsupervised Pattern Recognition of Plant and Soil Chemical Profilingen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1080/00032711003783168-
heal.identifier.secondary<Go to ISI>://000280891100004-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/00032711003783168-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείαςel
heal.publicationDate2010-
heal.abstractIn this work, a series of supervised and unsupervised pattern recognition techniques are assessed for the first time as a tool in order to elaborate a common approach able to classify different plant species based on a common pattern determined by their geographical origin. For this reason, soil samples and extracts from various parts of 7 self-sown indigenous Greek plants were collected in nature from two regions (highlands and insular) in NW Greece. Based on the chemical profiling of each species and the respective soil matrix composition, the identification of similarities and dissimilarities on a regional basis were pursued. The results indicate that hierarchical cluster classification and discriminant analysis using the chemical profile of inorganic elements and soil matrix composition provide the basis for the provision of an area-specific geographic marker that enables the classification of different herbs based on their origin with high discrimination efficiency.en
heal.publisherTaylor & Francisen
heal.journalNameAnalytical Lettersen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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