Determination of Adulteration of Sunflower Oil with Safflower Oil Using Some Sterol Components and Fatty Acid Compositions

2021 ◽  
Author(s):  
Fatma Nevin Başaran ◽  
Ferda Altuner ◽  
Aziz Tekin ◽  
Murat Tasan ◽  
Yusuf Özgür Anuk
2019 ◽  
Vol 55 (1) ◽  
pp. 99-101
Author(s):  
Salih Gorgun ◽  
Nukhet Akpinar ◽  
Mehmet Tekin ◽  
Hilal Karakas

OCL ◽  
2021 ◽  
Vol 28 ◽  
pp. 35
Author(s):  
Joaquín J. Salas ◽  
Miguel A. Bootello ◽  
Enrique Martínez-Force ◽  
Mónica Venegas Calerón ◽  
Rafael Garcés

Regular sunflower oil is rich in linoleic acid. To improve its properties for different applications several genotypes with modified fatty acid compositions have been developed. Amongst them, the most remarkable have been high oleic and high stearic types. High stearic sunflower lines reported to date have been produced by traditional methods of breeding and mutagenesis. The mutations affected the expression of enzymes responsible for stearate desaturation in developing seeds. This trait has been combined with standard and high oleic backgrounds, giving high stearic lines with high contents of linoleic or oleic acids and thus different physical properties, increasing their functionality and potential applications. Nevertheless, for applications requiring plastic or confectionery fats, the oils have to be fractionated to obtain derived fats and butters with higher levels of solids. In the present review we present recent advances for the above mentioned topics related to high stearic sunflower oils.


2019 ◽  
Vol 70 (1) ◽  
pp. 290 ◽  
Author(s):  
O. Uncu ◽  
B. Ozen ◽  
F. Tokatli

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 R2 (calibration) = 0.96 and R2 (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.


2018 ◽  
Vol 27 (7) ◽  
pp. 803-810
Author(s):  
Ayşe Gürel Inanlı ◽  
Özlem Emir Çoban ◽  
Ökkeş Yılmaz ◽  
Emine Özpolat ◽  
Nermin Karaton Kuzgun

2016 ◽  
Vol 59 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Kadanthottu Sebastian Joseph ◽  
Sushma Bolla ◽  
Kavita Joshi ◽  
Medha Bhat ◽  
Krupa Naik ◽  
...  

2012 ◽  
Vol 135 (2) ◽  
pp. 603-609 ◽  
Author(s):  
Jitraporn Vongsvivut ◽  
Philip Heraud ◽  
Wei Zhang ◽  
Jaroslav A. Kralovec ◽  
Don McNaughton ◽  
...  

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