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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Detalhes bibliográficos
Autor principal: Yang, Yang (author)
Outros Autores: Ferro, Miguel Duarte (author), Cavaco, Isabel Maria Palma Antunes (author), Liang, Yizeng (author)
Formato: article
Idioma:eng
Publicado em: 2013
Assuntos:
Olive oil
Adulteration
Univariate analysis
Multivariate analysis
PLS-LDA
Monte Carlo tree
Texto completo:http://hdl.handle.net/10400.1/3265
País:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/3265

Texto Completo

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

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