ArticleFoods (Basel, Switzerland)2021
Physical and Thermal Evaluation of Olive Oils from Minor Italian Cultivars.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Chromatographic and Thermal Characteristics, and Hydrolytic and Oxidative Stability of Commercial Pomegranate Seed Oil.Foods (Basel, Switzerland) · 2024Article
- Classification and Antioxidant Activity Evaluation of Edible Oils by Using Nanomaterial-Based Electrochemical Sensors.International journal of molecular sciences · 2023Article
- Metabolomics Approach to Characterize Green Olive Leaf Extracts Classified Based on Variety and Season.Plants (Basel, Switzerland) · 2022Article
- Comparison of Four Oil Extraction Methods for Sinami Fruit (Foods (Basel, Switzerland) · 2022Article
- Sustainability of the Olive Oil System.Foods (Basel, Switzerland) · 2021Article
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Authentication of extra virgin olive oils is a key strategy for their valorization and a way to preserve olive biodiversity. Physical and thermal analysis have been proposed in this study as fast and green techniques to reach this goal. Thirteen extra virgin olive oils (EVOOs) obtained from minor olive cultivars, harvested at three different ripening stages, in four Italian regions (Abruzzo, Apulia, Sardinia, and Calabria) have been studied. Thermal properties, viscosity and color, as influenced by fatty acid composition and chlorophyll content, have been investigated. The thermal curves of EVOOs, obtained by differential scanning calorimetry, were mostly influenced by the oleic acid content: a direct correlation with the cooling and heating enthalpy and an indirect correlation with the cooling transition range were observed. The minor fatty acids, and particularly arachidic acid, showed an influence, mostly on the heating thermograms. Viscosity and color showed respectively a correlation with fatty acids composition and chlorophyll content, however they didn't result able to discriminate between the samples. Thanks to the principal component analysis, the most influencing thermal parameters and fatty acids were used to cluster the samples, based on their botanical and geographical origin, resulting instead the harvesting time a less influential variable.
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