Detection and Identification of extra virgin olive oil adulteration by GC-MS combined with chemometrics

In this study, an analytical method for the detection and identification of extra virgin olive oil adulteration with four types of oils (corn, peanut, rapeseed, and sunflower oils) was proposed. The variables under evaluation included 22 fatty acids and 6 other significant parameters (the ratio of l...

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Bibliographic Details
Main Author: Yang, Yang (author)
Other Authors: Ferro, Miguel Duarte (author), Cavaco, Isabel Maria Palma Antunes (author), Liang, Yizeng (author)
Format: article
Language:eng
Published: 2013
Subjects:
Olive oil
Adulteration
Univariate analysis
Multivariate analysis
PLS-LDA
Monte Carlo tree
Online Access:http://hdl.handle.net/10400.1/3265
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/3265

Internet

http://hdl.handle.net/10400.1/3265

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