2019
DOI: 10.5650/jos.ess18150
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Fatty Acids and Phenolic Profiles of Extravirgin Olive Oils from Selected Italian Cultivars Introduced in Southwestern Province of Pakistan

Abstract: INTRODUCTION Olive is considered the most important tree fruit crop in the world, especially in Mediterranean countries due to its oil production. The most popular variety among 30 species of Olea which is abundantly found in the Mediterranean region is Olea europaea L.

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Cited by 17 publications
(7 citation statements)
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“…9 and higher linoleic acid contents 18:2, 9.7 . The obtained results agreed with the previous reports for olive oil 28 . As the temperature of planting region was higher, the oleic acid 18:1 content was less, and the contents of palmitic 16:0 and linoleic 18:2 acids were increased.…”
Section: Fatty Acid Compositionsupporting
confidence: 93%
“…9 and higher linoleic acid contents 18:2, 9.7 . The obtained results agreed with the previous reports for olive oil 28 . As the temperature of planting region was higher, the oleic acid 18:1 content was less, and the contents of palmitic 16:0 and linoleic 18:2 acids were increased.…”
Section: Fatty Acid Compositionsupporting
confidence: 93%
“…Within these compounds, several minor fatty acids were also detected such as stearic (C18:0), linolenic (C18:3), gadoleic (C20:1), palmitoleic (C16:1), and arachidic (C20:0) acids. The qualitative characterization of Ouslati and Chemlali acids composition was in agreement with those listed in the literature . However, the quantitative characterization of studied cultivars differed from the other olive varieties.…”
Section: Resultssupporting
confidence: 87%
“…Principal component analysis (PCA), a multivariate statistical technique, analyzes a data table representing observations depicted by many dependent variables which are inter-correlated. Its purpose is to extract the significant information from the data table and to express this information as a set of new orthogonal variables called principal components [31]. The Euclidean plot obtained from the PCA is displayed in Fig.…”
Section: Principal Component Analysismentioning
confidence: 99%