Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5680
Title: Prediction of various chemical parameters of olive oils with Fourier transform infrared spectroscopy
Authors: Uncu, Oğuz
Özen, Banu
Uncu, Oğuz
Özen, Banu
Keywords: Olive oil
Oxidative stability
Quality parameters
Partial least square analysis
FTIR
Fourier transform infrared spectroscopy
Issue Date: Oct-2015
Publisher: Academic Press Inc.
Source: Uncu, O., and Özen, B. (2015). Prediction of various chemical parameters of olive oils with Fourier transform infrared spectroscopy. LWT - Food Science and Technology, 63(2), 978-984. doi:10.1016/j.lwt.2015.05.002
Abstract: Vibrational spectroscopic techniques offer advantages such as rapid and accurate measurements with minimum sample preparation and waste generation. In this study, it was aimed at determining some important quality parameters (oxidative stability, colour pigments, fatty acid profile and phenolic composition) of olive oils by Fourier transform infrared spectroscopy as one of the vibrational spectroscopic methods. Partial least square calibration models were constructed in order to reveal any correlation between quality parameters and spectral data. Regression coefficients for developed models showed that oxidative stability (0.99), chlorophyll content (0.98), some major fatty acids (palmitic (0.87), oleic (0.94), and linoleic acids (0.97), saturated (0.91), monounsaturated (0.94) and polyunsaturated fatty acids (0.97)), hydroxytyrosol as a phenolic compound (0.97) and total phenolic content (0.99) were predicted successfully. Variable influence on the projection values indicated that palmitic, vanillic and cinnamic acids and hydroxytyrosol are the most significant contributors to oxidative stability of olive oils. © 2015 Elsevier Ltd.
URI: http://doi.org/10.1016/j.lwt.2015.05.002
http://hdl.handle.net/11147/5680
ISSN: 0023-6438
1096-1127
Appears in Collections:Food Engineering / Gıda Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
5680.pdfMakale1.01 MBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

35
checked on Oct 23, 2021

WEB OF SCIENCETM
Citations

39
checked on Oct 23, 2021

Page view(s)

28
checked on Oct 28, 2021

Download(s)

68
checked on Oct 28, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.