Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2275
Title: Near infrared spectroscopic determination of olive oil adulteration with sunflower and corn oil
Authors: Özdemir, Durmuş
Öztürk, Betül
Keywords: Adulteration
Genetic algorithms
Multivariate calibration
Near infrared spectroscopy
Olive oil
Publisher: Taiwan Food and Drug Administration
Source: Özdemir, D., and Öztürk, B. (2007). Near infrared spectroscopic determination of olive oil adulteration with sunflower and corn oil. Journal of Food and Drug Analysis, 15(1), 40-47.
Abstract: Determination of authenticity of extra virgin olive oils has become very important in recent years due to the increasing public concerns about possible adulterations with relatively cheap vegetable oils such as sunflower oil. This study was focused on the application of near infrared (NIR) spectroscopy in conjunction with multivariate calibration to identify the adulteration of olive oils. NIR transmittance measurements were made on pure olive oil and olive oil adulterated with varying concentrations (4-96%, v/v) of sunflower and corn oil in two sets of 26 binary and ternary mixtures. Multivariate calibration models were generated using genetic inverse least squares (GILS) method and used to predict the concentration of adulterants along with the concentration of olive oil in the samples. Over all, standard error of predictions ranged between 2.49 and 2.88% (v/v) for the binary mixtures of olive and sunflower oil and between 1.42 and 6.38% (v/v) for the ternary mixtures of olive, sunflower and corn oil.
URI: http://hdl.handle.net/11147/2275
ISSN: 1021-9498
1021-9498
Appears in Collections:Chemistry / Kimya
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
2275.pdfMakale534.04 kBAdobe PDFThumbnail
View/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

71
checked on Oct 25, 2024

WEB OF SCIENCETM
Citations

60
checked on Oct 26, 2024

Page view(s)

886
checked on Oct 28, 2024

Download(s)

916
checked on Oct 28, 2024

Google ScholarTM

Check





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