Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Author: search.filters.author.Öztürk, BetülSubject: search.filters.subject.Olive oil

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  • Book Part
    Citation - WoS: 7
    Citation - Scopus: 14
    Olive Oil Adulteration With Sunflower and Corn Oil Using Molecular Fluorescence Spectroscopy
    (Elsevier Ltd., 2010) Öztürk, Betül; Arıkan, Aysun; Özdemir, Durmuş; Öztürk, Betül; 04.01. Department of Chemistry; 04. Faculty of Science; 01. Izmir Institute of Technology
    Adulteration of olive oil with cheaper substitutes such as sunflower and corn oil is a major concern for the public. Rapid analysis methods are required for a quick and easy screening of possible adulteration attempts. Fluorescence spectroscopy coupled with a genetic algorithm-based multivariate calibration method allows the determination of olive oil adulteration with sunflower and corn oil. Because the standard error of prediction values are all below 1.30% (w/w) for the ternary set, fluorescence spectroscopy can be used as a fast screening method for possible olive oil adulteration with cheaper vegetable oils. In addition, the genetic algorithm used in the genetic inverse least squares (GILS) method is able to select and extract the most relevant information to build successful calibration models that have high predictive ability for the independent test samples.
  • Article
    Citation - WoS: 63
    Citation - Scopus: 73
    Near Infrared Spectroscopic Determination of Olive Oil Adulteration With Sunflower and Corn Oil
    (Taiwan Food and Drug Administration, 2007) Özdemir, Durmuş; Öztürk, Betül; Özdemir, Durmuş; 04.01. Department of Chemistry; 04. Faculty of Science; 01. Izmir Institute of Technology
    Determination of authenticity of extra virgin olive oils has become very important in recent years due to the increasing public concerns about possible adulterations with relatively cheap vegetable oils such as sunflower oil. This study was focused on the application of near infrared (NIR) spectroscopy in conjunction with multivariate calibration to identify the adulteration of olive oils. NIR transmittance measurements were made on pure olive oil and olive oil adulterated with varying concentrations (4-96%, v/v) of sunflower and corn oil in two sets of 26 binary and ternary mixtures. Multivariate calibration models were generated using genetic inverse least squares (GILS) method and used to predict the concentration of adulterants along with the concentration of olive oil in the samples. Over all, standard error of predictions ranged between 2.49 and 2.88% (v/v) for the binary mixtures of olive and sunflower oil and between 1.42 and 6.38% (v/v) for the ternary mixtures of olive, sunflower and corn oil.