Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil

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...

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Main Authors: O. Uncu, B. Ozen, F. Tokatli
Format: Article
Language:English
Published: Consejo Superior de Investigaciones Científicas 2019-03-01
Series:Grasas y Aceites
Subjects:
Online Access:http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1758
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spelling doaj-b1ec8d40b9ce49a9940e336e2fa123be2021-05-05T07:28:16ZengConsejo Superior de Investigaciones CientíficasGrasas y Aceites0017-34951988-42142019-03-01701e290e29010.3989/gya.05791811724Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oilO. Uncu0https://orcid.org/0000-0001-7710-624XB. Ozen1https://orcid.org/0000-0002-0428-320XF. Tokatli2https://orcid.org/0000-0003-2643-5523Izmir Institute of Technology, Department of Food EngineeringIzmir Institute of Technology, Department of Food EngineeringIzmir Institute of Technology, Department of Food EngineeringThe 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.http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1758adulterationchemometricsmid-infrared spectroscopysafflower oilsunflower oil
collection DOAJ
language English
format Article
sources DOAJ
author O. Uncu
B. Ozen
F. Tokatli
spellingShingle O. Uncu
B. Ozen
F. Tokatli
Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
Grasas y Aceites
adulteration
chemometrics
mid-infrared spectroscopy
safflower oil
sunflower oil
author_facet O. Uncu
B. Ozen
F. Tokatli
author_sort O. Uncu
title Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
title_short Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
title_full Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
title_fullStr Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
title_full_unstemmed Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
title_sort mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
publisher Consejo Superior de Investigaciones Científicas
series Grasas y Aceites
issn 0017-3495
1988-4214
publishDate 2019-03-01
description 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.
topic adulteration
chemometrics
mid-infrared spectroscopy
safflower oil
sunflower oil
url http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1758
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AT ftokatli midinfraredspectroscopicdetectionofsunfloweroiladulterationwithsaffloweroil
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