Authentication of Turkish Olive Oils by Using Detailed Pigment Profile and Spectroscopic Techniques
| dc.contributor.author | Uncu, Oğuz | |
| dc.contributor.author | Uncu, Oğuz | |
| dc.contributor.author | Özen, Banu | |
| dc.contributor.author | Özen, Fatma Banu | |
| dc.contributor.author | Tokatlı, Figen | |
| dc.contributor.author | Tokatlı, Figen | |
| dc.coverage.doi | 10.1002/jsfa.10239 | |
| dc.date.accessioned | 2021-01-24T18:44:55Z | |
| dc.date.available | 2021-01-24T18:44:55Z | |
| dc.date.issued | 2020 | |
| dc.description | PubMed: 31901137 | en_US |
| dc.description.abstract | BACKGROUND Minor compounds of olive oil could have discriminatory characteristics in the authentication of this product. It was aimed to determine the detailed pigment profiles of Turkish olive oils and use them in differentiation of the samples in comparison to fast, reliable, and environmentally friendly Fourier-transform infrared (FTIR) and ultraviolet (UV)-visible spectroscopic techniques. Pigment contents of 91 olive oils obtained from different locations for two consecutive harvesting years were determined with chromatographic analysis and FTIR and UV-visible spectra of these samples were also obtained. All data were analyzed with orthogonal partial least-squares discriminant analysis to investigate the differentiation ability of these methods with regard to their detailed pigment and spectroscopic profiles. RESULTS Pheophytin a (2.78-8.98 mg kg(-1)) and lutein (1.19-4.07 mg kg(-1)) were the major pigments in all samples. Pigment profiles provided successful classification of olive oils with respect to their designated origins and harvesting year with average correct classification rates of 97%. UV-visible spectroscopy has quite similar results with pigment profiles in terms of its discriminatory power. In addition, FTIR and fused data were slightly better in discrimination of the samples, and the fused dataset has the highest correct classification rate of 100%. CONCLUSION Use of detailed pigment profiles is quite promising in authentication of olive oils. However, UV-visible and FTIR spectroscopic techniques could be reliable alternatives for the same purposes. All of the techniques studied have great potential in 'protected designation of origin' certification studies. (c) 2020 Society of Chemical Industry | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [TUBITAK TOVAG115O584]; Biotechnology and Bioengineering Research Center of Izmir Institute of Technology | en_US |
| dc.description.sponsorship | This study was supported by the Scientific and Technological Research Council of Turkey (project no.: TUBITAK TOVAG115O584). We would like to thank the Biotechnology and Bioengineering Research Center of Izmir Institute of Technology for their help in HPLC analysis and Taris Olive and the Olive Oil Agriculture Sales Cooperatives Union for providing some of the olive oil samples. | en_US |
| dc.identifier.doi | 10.1002/jsfa.10239 | en_US |
| dc.identifier.doi | 10.1002/jsfa.10239 | |
| dc.identifier.issn | 0022-5142 | |
| dc.identifier.issn | 1097-0010 | |
| dc.identifier.scopus | 2-s2.0-85078654146 | |
| dc.identifier.uri | https://doi.org/10.1002/jsfa.10239 | |
| dc.identifier.uri | https://hdl.handle.net/11147/10492 | |
| dc.language.iso | en | en_US |
| dc.publisher | John Wiley and Sons Inc. | en_US |
| dc.relation.ispartof | Journal of The Science of Food And Agriculture | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | authentication | en_US |
| dc.subject | olive oil | en_US |
| dc.subject | pigments | en_US |
| dc.subject | FTIR spectroscopy | en_US |
| dc.subject | UV-visible spectroscopy | en_US |
| dc.title | Authentication of Turkish Olive Oils by Using Detailed Pigment Profile and Spectroscopic Techniques | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Uncu, Oğuz | |
| gdc.author.institutional | Özen, Banu | |
| gdc.author.institutional | Tokatlı, Figen | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Food Engineering | en_US |
| gdc.description.departmenttemp | [Uncu, Oguz; Ozen, Banu; Tokatli, Figen] Izmir Inst Technol, Dept Food Engn, TR-35430 Izmir, Turkey | en_US |
| gdc.description.endpage | 2165 | en_US |
| gdc.description.issue | 5 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.startpage | 2153 | en_US |
| gdc.description.volume | 100 | en_US |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W2998632785 | |
| gdc.identifier.pmid | 31901137 | |
| gdc.identifier.wos | WOS:000509798000001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.index.type | PubMed | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.downloads | 4 | |
| gdc.oaire.impulse | 7.0 | |
| gdc.oaire.influence | 3.0816105E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Turkey | |
| gdc.oaire.keywords | Calibration | |
| gdc.oaire.keywords | Spectroscopy, Fourier Transform Infrared | |
| gdc.oaire.keywords | Color | |
| gdc.oaire.keywords | Discriminant Analysis | |
| gdc.oaire.keywords | Reproducibility of Results | |
| gdc.oaire.keywords | Food Contamination | |
| gdc.oaire.keywords | Spectrophotometry, Ultraviolet | |
| gdc.oaire.keywords | Least-Squares Analysis | |
| gdc.oaire.keywords | Olive Oil | |
| gdc.oaire.keywords | Food Analysis | |
| gdc.oaire.popularity | 8.396291E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.oaire.sciencefields | 0104 chemical sciences | |
| gdc.oaire.views | 2 | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.88913097 | |
| gdc.openalex.normalizedpercentile | 0.64 | |
| gdc.openalex.toppercent | TOP 1% | |
| gdc.opencitations.count | 12 | |
| gdc.plumx.crossrefcites | 13 | |
| gdc.plumx.mendeley | 26 | |
| gdc.plumx.pubmedcites | 2 | |
| gdc.plumx.scopuscites | 13 | |
| gdc.scopus.citedcount | 13 | |
| gdc.wos.citedcount | 13 | |
| relation.isAuthorOfPublication.latestForDiscovery | 9ed811bc-7431-41d7-81f5-4e572157a5ae | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4019-8abe-a4dfe192da5e |
