Dergi makalesi Açık Erişim
Kaya, Yasin; Demirci, Betul; Aydin, Zubeyde Ugurlu; Donmez, Emel Oybak; Baser, Kemal Husnu Can; Donmez, Ali A.
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Demirci, Betul</subfield> <subfield code="u">Anadolu Univ, Fac Pharm, Dept Pharmacognosy, Eskisehir, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Aydin, Zubeyde Ugurlu</subfield> <subfield code="u">Hacettepe Univ, Fac Sci, Dept Biol, Ankara, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Donmez, Emel Oybak</subfield> <subfield code="u">Hacettepe Univ, Fac Sci, Dept Biol, Ankara, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Baser, Kemal Husnu Can</subfield> <subfield code="u">Near East Univ, Fac Pharm, Dept Pharmacognosy, Nicosia, Northern Cyprus, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Donmez, Ali A.</subfield> <subfield code="u">Hacettepe Univ, Fac Sci, Dept Biol, Ankara, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="p">JOURNAL OF ESSENTIAL OIL RESEARCH</subfield> <subfield code="v">35</subfield> <subfield code="n">1</subfield> <subfield code="c">11-23</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Creative Commons Attribution</subfield> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1080/10412905.2022.2147591</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Structural similarities of phytochemicals significantly contribute to species delimitation of Nigella and Garidella (Ranunculaceae)</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Kaya, Yasin</subfield> <subfield code="u">Hacettepe Univ, Fac Sci, Dept Biol, Ankara, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:aperta.ulakbim.gov.tr:254465</subfield> <subfield code="p">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="2">opendefinition.org</subfield> <subfield code="a">cc-by</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2023-01-01</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="u">https://aperta.ulakbim.gov.trrecord/254465/files/bib-068f801f-84a3-430a-9002-6ebcc9496990.txt</subfield> <subfield code="z">md5:44b9740c8aa53bf043aaf91dd03e2bb4</subfield> <subfield code="s">258</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="005">20230728210612.0</controlfield> <controlfield tag="001">254465</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a">The genera Nigella and Garidella are two members of the Nigelleae tribe. Among all the taxa of the tribe, black cumin (Nigella sativa L.) is one of the most important plants concerning economic and medicinal uses. In this study, volatiles were analyzed in detail to elucidate the phytochemical profiles and to understand the taxonomic patterns of secondary metabolites for 19 taxa of Nigella and Garidella collected from Turkey and the neighboring countries. Volatiles were analyzed by gas chromatography (GC-FID) and gas chromatography-mass spectrometry (GC/MS) using different polarity columns. Seventeen Nigella and two Garidella taxa were investigated, with 130 volatile oil components characterized. Structural similarities of the compounds were clustered by a machine learning algorithm using the molecular fingerprinting method. Our results depict that the phytochemicals produced by Nigelleae can be classified independently of their chemical families and significantly contribute to genera delimitation by their structural distances.</subfield> </datafield> </record>
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