Screening tools combined with multivariate data analysis to predict or confirm virgin olive oil classification by the Panel test

Author:

Grigoletto Ilaria1,Casadei Enrico1,Panni Filippo1,Valli Enrico1,Cevoli Chiara1,Bendini Alessandra1,García‐González Diego Luis2,Focante Francesca3,Savino Angela Felicita3,Carpino Stefania4,Gallina Toschi Tullia1

Affiliation:

1. Department of Agricultural and Food Sciences Alma Mater Studiorum—Università di Bologna Cesena Italy

2. Instituto de la Grasa (CSIC), Campus Universitario Pablo de Olavide Sevilla Spain

3. Laboratory of Perugia Central Inspectorate for Fraud Repression and Quality Protection of the Agrifood Products and Foodstuffs—Italian Ministry of Agriculture Food Sovereignty and Forests Perugia Italy

4. Office PREF IV4 Office Director Central Inspectorate for Fraud Repression and Quality Protection of the Agrifood Products and Foodstuffs—Italian Ministry of Agriculture Food Sovereignty and Forests Roma Italy

Abstract

AbstractA particular aspect of quality control of virgin olive oil (VOO) is the mandatory application, together with chemical and instrumental determinations, of a standardized and official method for sensory assessment. The latter, known as Panel test, is carried out by trained assessors and contributes to the classification of VOOs into three commercial categories (extra virgin, virgin, and lampante). One drawback of this method is related to the large number of samples to be analyzed, compared to the work capacity of a sensory panel, especially during the selection for purchase by companies that blend and market virgin oils and the quality control conducted by the authorities to verify the declared commercial category. For this reason, it is helpful to develop and validate robust and rapid screening methods, based on volatile fingerprints, to preclassify each sample into one of the three commercial categories. Considering the strict relation between volatile compounds and the main sensory attributes (fruity and defects), a gas‐chromatographic volatile fingerprint can be the right choice. In this paper, the comparison of two emerging techniques, namely, headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) and flash‐gas chromatography (FGC), applied on a sample set of 49 VOOs, using calibrations previously built with a larger number of samples, is presented. The number of correctly classified samples, with respect to the commercial category determined by the Panel test, was satisfactory and comparable (92% for HS‐GC‐IMS, and 94% for FGC), confirming the effectiveness of both methods and the robustness of the predictive models.Practical Applications: The demand for rapid screening tools to reduce the number of samples to be assessed by the Panel test has increased in recent years. The validation of robust models and their joint adoption by companies that market VOOs as well as official control bodies could reduce nonconformities and increase the batches of VOO being controlled, thus better protecting the consumer. Therefore, it is desirable to have different tools available to analyze volatile compounds, together with the associated calibration models, along with detailed instructions for their application, to have different alternatives that suit the equipment of individual laboratories.

Publisher

Wiley

Reference54 articles.

1. European Commission. (2023).Market situation in the olive oil and table olives sectors. Committee for the Common Organisation of the Agricultural Markets—Arable crops and olive oil. Available online:https://agriculture.ec.europa.eu/system/files/2023‐12/market‐situation‐olive‐oil‐table‐olives_en.pdf

2. Commission Delegated Regulation (EU) 2022/2104 supplementing Regulation (EU) No 1308/2013 of the European Parliament and of the Council as regards marketing standards for olive oil and repealing Commission Regulation (EEC) No 2568/91 and Commission Implementing Regulation (EU) No 29/2012. Official Journal of the European Community2022 29 July L284 1–22.

3. Are the innovative electronic labels for extra virgin olive oil sustainable, traceable, and accepted by consumers?;Violino S.;Foods,2019

4. Emerging trends in olive oil fraud and possible countermeasures;Casadei C.;Food Control,2021

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