Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/9135
Title: | Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil | Authors: | Uncu, Oğuz Özen, Banu Tokatlı, Figen |
Keywords: | Adulteration Chemometrics Mid-infrared spectroscopy Safflower oil Sunflower oil |
Publisher: | CSIC Consejo Superior de Investigaciones Cientificas | Abstract: | 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. | URI: | https://doi.org/10.3989/gya.0579181 https://hdl.handle.net/11147/9135 |
ISSN: | 0017-3495 1988-4214 |
Appears in Collections: | Food Engineering / Gıda Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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1758-Article Text-4783-1-10-20190121.pdf | 2.48 MB | Adobe PDF | View/Open |
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