Prediction of Chemical Parameters and Authentication of Various Cold Pressed Oils With Fluorescence and Mid-Infrared Spectroscopic Methods
| dc.contributor.author | Doğruer, Ilgın | |
| dc.contributor.author | Uyar, H. Hilal | |
| dc.contributor.author | Uncu, Oğuz | |
| dc.contributor.author | Özen, Banu | |
| dc.coverage.doi | 10.1016/j.foodchem.2020.128815 | |
| dc.date.accessioned | 2021-01-24T18:32:51Z | |
| dc.date.available | 2021-01-24T18:32:51Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | It was aimed to compare the performances of two spectroscopic methods, fluorescence and mid-infrared spectroscopy, in terms of their adulteration detection and estimation of several chemical properties for various cold pressed seed oils. Spectroscopic profiles, fatty acid, free fatty acid and total phenol contents of pumpkin seed, grape seed, black cumin oil, and sesame seed oils were determined and these oils were mixed with sunflower oil at 1–50% (v/v). Both spectroscopic techniques provided comparable results for determination of adulteration of each oil type and the most successful prediction was obtained for pumpkin seed oil at levels >%1. Combined data set of oils resulted in successful quantification of their free fatty acid value, total phenol and major fatty acids contents with both spectroscopic methods regardless of oil type. Both techniques could be used as reliable, fast and environmentally friendly alternatives in the analyses of different types of seed oils. © 2020 Elsevier Ltd | en_US |
| dc.description.sponsorship | Smithsonian Environmental Research Center | en_US |
| dc.description.sponsorship | We would like to thank Environmental Research Center and Chemical Engineering Department of Izmir Institute of Technology for their help in GC analyses and fluorescence spectroscopy, respectively. | en_US |
| dc.identifier.doi | 10.1016/j.foodchem.2020.128815 | |
| dc.identifier.issn | 0308-8146 | |
| dc.identifier.scopus | 2-s2.0-85097722036 | |
| dc.identifier.uri | https://doi.org/10.1016/j.foodchem.2020.128815 | |
| dc.identifier.uri | https://hdl.handle.net/11147/10192 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd. | en_US |
| dc.relation.ispartof | Food Chemistry | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Adulteration | en_US |
| dc.subject | Black cumin seed oil | en_US |
| dc.subject | Fluorescence spectroscopy | en_US |
| dc.subject | Grape seed oil | en_US |
| dc.subject | Infrared spectroscopy | en_US |
| dc.subject | Pumpkin seed oil | en_US |
| dc.subject | Sesame seed oil | en_US |
| dc.title | Prediction of Chemical Parameters and Authentication of Various Cold Pressed Oils With Fluorescence and Mid-Infrared Spectroscopic Methods | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Doğruer, Ilgın | |
| gdc.author.institutional | Uyar, H.Hilal | |
| gdc.author.institutional | Uncu, Oğuz | |
| gdc.author.institutional | Özen, Banu | |
| 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.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.volume | 345 | en_US |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W3111834060 | |
| gdc.identifier.pmid | 33333358 | |
| gdc.identifier.wos | WOS:000619236500010 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.index.type | PubMed | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 22.0 | |
| gdc.oaire.influence | 3.525681E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Spectrometry, Fluorescence | |
| gdc.oaire.keywords | Spectrophotometry, Infrared | |
| gdc.oaire.keywords | Fraud | |
| gdc.oaire.keywords | Food Quality | |
| gdc.oaire.keywords | Plant Oils | |
| gdc.oaire.keywords | Food Analysis | |
| gdc.oaire.popularity | 2.280907E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0404 agricultural biotechnology | |
| gdc.oaire.sciencefields | 04 agricultural and veterinary sciences | |
| gdc.oaire.sciencefields | 0405 other agricultural sciences | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 1.90528064 | |
| gdc.openalex.normalizedpercentile | 0.82 | |
| gdc.opencitations.count | 24 | |
| gdc.plumx.crossrefcites | 26 | |
| gdc.plumx.mendeley | 45 | |
| gdc.plumx.pubmedcites | 3 | |
| gdc.plumx.scopuscites | 30 | |
| gdc.scopus.citedcount | 30 | |
| gdc.wos.citedcount | 25 | |
| relation.isAuthorOfPublication.latestForDiscovery | 9ed811bc-7431-41d7-81f5-4e572157a5ae | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4019-8abe-a4dfe192da5e |
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