@article{Uncu_Ozen_Tokatli_2019, title={Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil}, volume={70}, url={https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1758}, DOI={10.3989/gya.0579181}, abstractNote={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<sup>-1</sup> 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<sub>2</sub> (calibration) = 0.96 and R<sub>2</sub> (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.}, number={1}, journal={Grasas y Aceites}, author={Uncu, O. and Ozen, B. and Tokatli, F.}, year={2019}, month={Mar.}, pages={e290} }