Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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

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Access type: Open accessSubject: search.filters.subject.Sunflower oil

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  • Article
    Citation - WoS: 12
    Citation - Scopus: 12
    Mid-Infrared Spectroscopic Detection of Sunflower Oil Adulteration With Safflower Oil
    (CSIC Consejo Superior de Investigaciones Cientificas, 2019) Uncu, Oğuz; Uncu, Oğuz; Özen, Banu; Tokatlı, Figen; Tokatlı, Figen; Özen, Fatma Banu; 03.08. Department of Food Engineering; 01. Izmir Institute of Technology; 03. Faculty of Engineering
    The oil industry is in need of rapid analysis techniques to differentiate mixtures of safflower-sunflower oils from pure oils. The current adulteration detection methods are generally cumbersome and detection limits are questionable. The aim of this study was to test the capability of a mid-infrared spectroscopic method to detect the adulteration of sunflower oil with safflower oil compared to fatty acid analysis. Mid-infrared spectra of pure oils and their mixtures at the 10-60% range were obtained at 4000-650 cm(-1) wavenumber and fatty acid profiles were determined. Data were analyzed by multivariate statistical analysis techniques. The lowest level of detection was obtained with mid-infrared spectroscopy at 30% while the fatty acid profile could determine adulteration at around 60%. Adulteration levels were predicted successfully using PLS regression analysis of infrared data with R-2 (calibration) = 0.96 and R-2 (validation) = 0.93. As a rapid and minimum waste generating technique, mid-infrared spectroscopy could be a useful tool for the screening of raw material to detect safflower-sunflower oil mixtures.
  • 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.