Abstract

Olive oil production represents a big part of the Mediterranean economy, and as such it must be protected from frauds. For this reason, it is necessary to develop alternative low-cost techniques, applicable on large scale, for checking the quality of the product and for detecting adulteration. On such bases, the present work deals with the possibility of adopting microwave reflectometry for obtaining a ‘spectral signature’ of vegetable oils. For this purpose, time domain reflectometry (TDR) measurements, in combination with specific data processing, are first used for the dielectric characterization of several oil types. Successively, the acquired data are processed through the principal component analysis (for identifying clusters of oil types that exhibit common features) and through the partial least square analysis (for identifying a predictive model for detecting oil adulteration). Results confirm that the proposed procedure holds considerable potential for quality and anti-adulteration control purposes, especially in view of practical applications.

Autore Pugliese

• Cataldo Andrea Maria

Tutti gli autori

• A. Cataldo , E. Piuzzi , G. Cannazza , E. De Benedetto

Titolo volume/Rivista

JOURNAL OF FOOD ENGINEERING

Anno di pubblicazione

2012

ISSN

0260-8774

ISBN

Non Disponibile

Numero di citazioni Wos

23

Ultimo Aggiornamento Citazioni

28/04/2018

Numero di citazioni Scopus

25

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile