Prediction of Various Chemical Parameters of Olive Oils With Fourier Transform Infrared Spectroscopy
| dc.contributor.author | Uncu, Oğuz | |
| dc.contributor.author | Özen, Banu | |
| dc.coverage.doi | 10.1016/j.lwt.2015.05.002 | |
| dc.date.accessioned | 2017-06-02T08:09:03Z | |
| dc.date.available | 2017-06-02T08:09:03Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Vibrational spectroscopic techniques offer advantages such as rapid and accurate measurements with minimum sample preparation and waste generation. In this study, it was aimed at determining some important quality parameters (oxidative stability, colour pigments, fatty acid profile and phenolic composition) of olive oils by Fourier transform infrared spectroscopy as one of the vibrational spectroscopic methods. Partial least square calibration models were constructed in order to reveal any correlation between quality parameters and spectral data. Regression coefficients for developed models showed that oxidative stability (0.99), chlorophyll content (0.98), some major fatty acids (palmitic (0.87), oleic (0.94), and linoleic acids (0.97), saturated (0.91), monounsaturated (0.94) and polyunsaturated fatty acids (0.97)), hydroxytyrosol as a phenolic compound (0.97) and total phenolic content (0.99) were predicted successfully. Variable influence on the projection values indicated that palmitic, vanillic and cinnamic acids and hydroxytyrosol are the most significant contributors to oxidative stability of olive oils. © 2015 Elsevier Ltd. | en_US |
| dc.identifier.citation | Uncu, O., and Özen, B. (2015). Prediction of various chemical parameters of olive oils with Fourier transform infrared spectroscopy. LWT - Food Science and Technology, 63(2), 978-984. doi:10.1016/j.lwt.2015.05.002 | en_US |
| dc.identifier.doi | 10.1016/j.lwt.2015.05.002 | |
| dc.identifier.doi | 10.1016/j.lwt.2015.05.002 | en_US |
| dc.identifier.issn | 0023-6438 | |
| dc.identifier.issn | 1096-1127 | |
| dc.identifier.scopus | 2-s2.0-84930379850 | |
| dc.identifier.uri | http://doi.org/10.1016/j.lwt.2015.05.002 | |
| dc.identifier.uri | https://hdl.handle.net/11147/5680 | |
| dc.language.iso | en | en_US |
| dc.publisher | Academic Press Inc. | en_US |
| dc.relation.ispartof | LWT - Food Science and Technology | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Olive oil | en_US |
| dc.subject | Oxidative stability | en_US |
| dc.subject | Quality parameters | en_US |
| dc.subject | Partial least square analysis | en_US |
| dc.subject | FTIR | en_US |
| dc.subject | Fourier transform infrared spectroscopy | en_US |
| dc.title | Prediction of Various Chemical Parameters of Olive Oils With Fourier Transform Infrared Spectroscopy | en_US |
| dc.type | Article | en_US |
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| gdc.author.institutional | Uncu, Oğuz | |
| gdc.author.institutional | Özen, Banu | |
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| gdc.description.department | İzmir Institute of Technology. Food Engineering | en_US |
| gdc.description.endpage | 984 | en_US |
| gdc.description.issue | 2 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 978 | en_US |
| gdc.description.volume | 63 | en_US |
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| gdc.oaire.keywords | Partial least square analysis | |
| gdc.oaire.keywords | Quality parameters | |
| gdc.oaire.keywords | FTIR | |
| gdc.oaire.keywords | Fourier transform infrared spectroscopy | |
| gdc.oaire.keywords | Olive oil | |
| gdc.oaire.keywords | Oxidative stability | |
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