Chemometric Evaluation of Discrimination of Aromatic Plants by Using NIRS, LIBS

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dc.authorid0000-0002-2321-4453
dc.authorscopusid57151202100
dc.authorscopusid25423141800
dc.authorscopusid6603211547
dc.authorwosidErcioğlu, Elif/AAF-9880-2020
dc.contributor.authorErcioğlu, Elif
dc.contributor.authorVelioğlu, Hasan Murat
dc.contributor.authorBoyacı, İsmail Hakkı
dc.date.accessioned2022-05-11T14:45:27Z
dc.date.available2022-05-11T14:45:27Z
dc.date.issued2018
dc.departmentFakülteler, Ziraat Fakültesi, Tarımsal Biyoteknoloji Bölümü
dc.description.abstractAromatic plants have different chemical compositions that give them specific properties such as colour, aroma and taste and can be classified based on differentiation of various chemical constituents such as protein, vitamins, minerals, volatile and non-volatile oil, carbohydrates and the presence of adulterants. The aim of the present study was to develop a fast, simple and non-destructive method for discrimination of aromatic plants, juniper (Juniperus communis), rosemary (Rosmarinus officinalis), laurel (Laurus nobilis), sweet basil (Ocimum basilicum), black pepper (Piper nigrum), thyme (Origanum majorana), lavender (Lavandula latifolia), spearmint (Mentha spicata) and ginger (Zingiber officinale), commonly used. In order to discriminate aromatic plants, chemometric methods, namely principal component analysis (PCA), were used together with spectroscopic methods. Analysis of plant samples was carried out using Raman spectroscopy (RS), near-infrared spectroscopy (NIRS) and laser-induced breakdown spectroscopy (LIBS). Although Raman spectra of aromatic plant samples could not be obtained due to problems with sample degradation and fluorescence effect, satisfying classification of aromatic plant samples was accomplished by LIBS and NIRS. PCA models developed using NIRS data showed that the first two principal components explained 82.56% of the total variance. Elemental composition of the aromatic plant samples was investigated using LIBS, and the first two principal components explained 77.97% of the total variance in the PCA model generated by using the LIBS data. The ability to rapidly discriminate various culinary herbs makes these spectroscopic methods available to use by the aromatic plant industry in order to perform a fast quality control of incoming raw materials.
dc.identifier.doi10.1007/s12161-018-1145-x
dc.identifier.endpage1667
dc.identifier.issn1936-9751
dc.identifier.issn1936-976X
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85041316422
dc.identifier.scopusqualityQ2
dc.identifier.startpage1656
dc.identifier.urihttps://doi.org/10.1007/s12161-018-1145-x
dc.identifier.urihttps://hdl.handle.net/20.500.11776/10048
dc.identifier.volume11
dc.identifier.wosWOS:000431323000011
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorVelioğlu, Hasan Murat
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofFood Analytical Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAromatic plants
dc.subjectRaman spectroscopy
dc.subjectNIRS
dc.subjectLIBS
dc.subjectChemometrics
dc.subjectInduced Breakdown Spectroscopy
dc.subjectNear-Infrared Spectroscopy
dc.subjectReflectance Spectroscopy
dc.subjectAdulterant Detection
dc.subjectRaman-Spectroscopy
dc.subjectIdentification
dc.subjectProducts
dc.subjectMarkers
dc.subjectResidues
dc.subjectRegions
dc.titleChemometric Evaluation of Discrimination of Aromatic Plants by Using NIRS, LIBS
dc.typeArticle

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