Diffuse-Light Absorption Spectroscopy and Chemometrics for Discrimination and Quantification of Extra Virgin Olive Oil Adulterants (Contributo in atti di convegno)

Type
Label
  • Diffuse-Light Absorption Spectroscopy and Chemometrics for Discrimination and Quantification of Extra Virgin Olive Oil Adulterants (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICSENS.2010.5689954 (literal)
Alternative label
  • A.G. Mignani; L. Ciaccheri; L. Conte; M. Marega; H. Ottevaere; H. Thienpont; A. Cichelli; C. Attilio; A. Cimato (2010)
    Diffuse-Light Absorption Spectroscopy and Chemometrics for Discrimination and Quantification of Extra Virgin Olive Oil Adulterants
    in 2010 IEEE Sensors Conference
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A.G. Mignani; L. Ciaccheri; L. Conte; M. Marega; H. Ottevaere; H. Thienpont; A. Cichelli; C. Attilio; A. Cimato (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • A.G. Mignani, L. Ciaccheri: CNR-IFAC, Italy; L. Conte, M. Marega: Università di Udine, Italy; H. Ottevaere; H. Thienpont: Vrije Universiteit Brussel, Belgium; A. Cichelli: Università \"G.D'Annunzio\", Italy; C. Attilio; A. Cimato; CNR-IVALSA, Italy (literal)
Titolo
  • Diffuse-Light Absorption Spectroscopy and Chemometrics for Discrimination and Quantification of Extra Virgin Olive Oil Adulterants (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4244-8168-2 (literal)
Abstract
  • A selection of top-quality extra virgin olive oils with excellent nutraceutic properties was artificially adulterated by means of lower-grade olive oils commonly used in commercial counterfeits. The oil sample set was analyzed by means of diffuse-light absorption spectroscopy performed in the wide 400- 1700 nm spectral range. A setup based on optical fiber technology was experimented, which made use of an optical fiber supercontinuum source. The spectroscopic library was processed by means of a Partial Least Squares regression for quantifying the adulterant concentration, followed by a Principal Component Analysis and Linear Discriminant Analysis for identifying the type of adulterant. (literal)
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