Evaluation of Lipid Composition and Nutritional Quality of Olive Oil Varieties Using ESI-MS, GC-FID and Chemometrics Techniques

Author:

Figueiredo Alisson,Silva Michele,Pizzo JessicaORCID,Santos Patrícia,Manin LucianaORCID,Leôncio Mariana,Visentainer JesuíORCID,Santos OscarORCID

Abstract

Olive oil is a highly demanded product renowned for its unique taste and diverse nutrient content, primarily composed of lipids. This study aimed to comprehensively analyze the lipid profiles of four olive varieties (Arbequina, Arbosana, Koroneiki, and Frantoio) and their corresponding commercial olive oils using advanced analytical techniques, namely electrospray ionization mass spectrometry and gas chromatography with flame ionization detector, combined with principal component analysis. The nutritional quality of the olive oils was evaluated based on parameters such as the ratio of saturated acids to polyunsaturated acids, atherogenicity, thrombogenicity, and andhypocholesterolemic/hypercholesterolemic indexes. The study revealed that the primary fatty acids identified were palmitic, stearic, oleic, and linoleic acids, while triolein, palmitodiolein, and stearodiolein emerged as the most abundant triacylglycerol across all samples. Furthermore, the results demonstrated that the commercial olive oil samples exhibited an exceptional nutritional profile. Overall, this study highlights the significance and efficacy of the analytical and statistical techniques employed to unravel the lipid profiles of olive oils, a product of substantial commercial value and susceptible to adulteration. Additionally, it emphasizes the importance of utilizing nutritional quality indices to assess the health benefits associated with olive oil consumption.

Publisher

Sociedade Brasileira de Quimica (SBQ)

Subject

General Chemistry

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