Classification of olive oils using high throughput flow 1H NMR fingerprinting with principal component analysis, linear discriminant analysis and probabilistic neural networks-Reference-Cited by-同舟云学术

Classification of olive oils using high throughput flow 1H NMR fingerprinting with principal component analysis, linear discriminant analysis and probabilistic neural networks

Published:2005-11 Issue:1-2 Volume:552 Page:13-24
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Rezzi Serge,Axelson David E.,Héberger Károly,Reniero Fabiano,Mariani Carlo,Guillou Claude

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference42 articles.

1. Supervised pattern recognition to authenticate Italian extra virgin olive oil varieties;Marini;Chemom. Intell. Lab. Syst.,2004

2. High-performance liquid chromatographic analysis of chlorophylls, pheophytins and carotenoids in virgin olive oils: chemometric approach to variety classification;Cichelli;J. Chromatogr. A,2004

3. The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics;Christy;Anal. Sci. (Japan),2004

4. Triglyceride, total and 2-position fatty acid composition of Cornicabra virgin olive oil: comparison with other Spanish cultivars;Aranda;Food Chem.,2004

5. Study of fatty acid contents in monovariety oils elaborated from olives produced in Extremadura (Spain);Casas;Grasas y Aceites,2003

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