Abstract

Journal of Near Infrared Spectroscopy
Volume 16 Issue 1, Pages 39–47 (2008)
doi: 10.1255/jnirs.759

Near infrared spectroscopy and class modelling techniques for the geographical authentication of Ligurian extra virgin olive oil

Monica Casale,a,* Chiara Casolino,a Giuseppe Ferrarib and Michele Forinaa
aDipartimento di Chimica e Tecnologie Farmaceutiche ed Alimentari, Università di Genova, Via Brigata Salerno 13, I-16147 Genova, Italy. E-mail: monica@dictfa.unige.it
bBüchi Italia s.r.l., Pal. A4 Strada 4, I-20090 Assago (MI), Italy

An authentic food is one which is what it purports to be. Food processors and consumers need to be assured that when they pay for a specific product, they are receiving exactly what they pay for. In this paper, a particular food authenticity study is considered: the classification of extra virgin olive oils from Liguria, a region in northern Italy, according to their geographical origin. One hundred and ninety five olive oil samples were analysed using a near infrared (NIR) instrument and the recorded spectra were used to build a class model for Ligurian olive oil. Different class modelling techniques were used, i.e. potential functions techniques (POTFUN), soft independent modelling of class analogy (SIMCA), unequal-quadratic discriminant analysis (UNEQ-QDA) and multivariate range modelling (MRM). In order to remove systematic variation in experimental data such as base-line and multiplicative scatter effects, an evaluation of different data pre-processing methods was performed. Ligurian olive oil was clearly differentiated from the other oils and the multivariate analysis allowed the construction of Liguria class models with good predictive ability, high sensitivity and sufficient specificity. The results obtained suggest that NIR and chemometrics are useful tools in the geographic traceability of olive oil.

Keywords: NIR spectroscopy, class modelling techniques, extra virgin olive oil, geographical origin

Full-text article (341 kB) (subscribers only)

Buy article on-line for £20 (get immediate access)

Alerting Service

 RSS Feed

Permalink: http://dx.doi.org/10.1255/jnirs.759
QR Code (what is this?):

Alerting Services

Our Table of Contents Alerting Service will keep you up-to-date with the latest research published in our journals.

You can also follow our journals on Twitter or subscribe to their RSS feeds.  Follow us on Twitter and Subscribe to our RSS Feeds

Sign Up Now

Subscriptions

Discover the benefits of subscribing to our periodicals

  • Quality Science
  • Fair Pricing
  • Important Research
  • Flexible Subscriptions

Subscribe Today

New Books

New Series of Focused Books in Print and E-Reader Formats

Design of Experiments“If you’re going to experiment, then it is always worth doing it properly” writes Tom Fearn in this introduction to Design of Experiments.
find out more

Near Infrared Spectroscopy on Agricultural HarvestersThis book provides an overview of the deployment of NIR analysers onto harvesting machinery to give real-time, point-of-cropping data.
find out more

Sample Copy of JNIRS