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 |
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.