Fatty Acids Evaluation by Principal Component Analysis for the Traceability of Sicilian and Calabrian Olive Oils

Author:

Caridi Francesco1ORCID,Mottese Antonio F.1ORCID,Messina Maurizio2,D'Agostino Maurizio2ORCID

Affiliation:

1. Department of Mathematics and Informatics, Physic and Earth Sciences (MIFT), University of Messina, Viale F. Stagno d’Alcontres 31, S. Agata, 98166 Messina, Italy

2. Environmental Protection Agency of Calabria, Italy (ARPACal), Department of Reggio Calabria, Via Troncovito SNC, 89135 Reggio Calabria, Italy

Abstract

Background and Objectives: In this article, a comprehensive study was carried out for Sicilian and Calabrian olive oils authenticity evaluation through chemometric analyses, correlating botanical and geographical origins with the samples' chemical composition. Methods: A total of eighteen Sicilian and Calabrian (southern Italy) olive oil samples were analyzed through gas chromatography (GC). Results: The fatty acids concentration in the investigated samples followed the subsequent order: oleic (C18:1) > palmitic (C16) > linoleic (C18:2) > stearic (C18) > palmitoleic (C16:1) > linoleic (C18:3). The 2D Scatterplot (Principal Component Analysis) showed that, among the analyzed oils, six clusters stand out, which seem to consistently group samples in relation to the cultivars and cultivation areas that share the territorial proximity (same province). Conclusions: Experimental results demonstrated that it is possible to strictly relate, through the PCA, olive oils to their geographical and botanical provenance, thus becoming a useful tool for evaluating product authenticity and guaranteeing it to the consumers.

Publisher

Bentham Science Publishers Ltd.

Subject

Public Health, Environmental and Occupational Health,Nutrition and Dietetics,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3