Chemometrics Methods for Specificity, Authenticity and Traceability Analysis of Olive Oils: Principles, Classifications and Applications

Background. Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends’ preparation leading to normative, labelled or adulterated commercial products. Control of complex OO samples requires their (i) characterization by specific markers; (ii) authentication by fingerprint patterns; and (iii) monitoring by traceability analysis. Methods. These quality control and management aims require the use of several multivariate statistical tools: specificity highlighting requires ordination methods; authentication checking calls for classification and pattern recognition methods; traceability analysis implies the use of network-based approaches able to separate or extract mixed information and memorized signals from complex matrices. Results. This chapter presents a review of different chemometrics methods applied for the control of OO variability from metabolic and physical-chemical measured characteristics. The different chemometrics methods are illustrated by different study cases on monovarietal and blended OO originated from different countries. Conclusion. Chemometrics tools offer multiple ways for quantitative evaluations and qualitative control of complex chemical variability of OO in relation to several intrinsic and extrinsic factors..

Media Type:

Electronic Article

Year of Publication:

2016

Publication:

2016

Contained In:

To Main Record - volume:5

Contained In:

Foods - 5(2016), 4, p 77

Language:

English

Contributors:

Habib Messai [Author]
Muhammad Farman [Author]
Abir Sarraj-Laabidi [Author]
Asma Hammami-Semmar [Author]
Nabil Semmar [Author]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
www.mdpi.com [kostenfrei]
Journal toc [kostenfrei]

Keywords:

Blends
Chemical technology
Chemometrical methods
Chromatographic profiles
Clustering
Olive field
Ordination
Pattern recognition
Prediction
Quality control
Spectral data

doi:

10.3390/foods5040077

funding:

Supporting institution / Project title:

PPN (Catalogue-ID):

DOAJ042433088