Geographical Characterization of Tunisian Olive Tree Leaves (cv. Chemlali) Using HPLC-ESI-TOF and ITMS Fingerprinting with Hierarchical Cluster Analysis
Joint Authors
Gómez-Caravaca, Ana María
Segura-Carretero, Antonio
Taamalli, Amani
Arráez Román, David
Zarrouk, Mokhtar
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The olive plant has been extensively studied for its nutritional value, whereas its leaves have been specifically recognized as a processing by-product.
Leaves are considered by-products of olive farming, representing a significant material arriving to the olive mill.
They have been considered for centuries as an important herbal remedy in Mediterranean countries.
Their beneficial properties are generally attributed to the presence of a range of phytochemicals such as secoiridoids, triterpenes, lignans, and flavonoids.
With the aim to study the impact of geographical location on the phenolic compounds, Olea europaea leaves were handpicked from the Tunisian cultivar “Chemlali” from nine regions in the north, center, and south of Tunisia.
The ground leaves were then extracted with methanol : water 80% (v/v) and analyzed by using high-performance liquid chromatography coupled to electrospray time of flight and ion trap mass spectrometry analyzers.
A total of 38 compounds could be identified.
Their contents showed significant variation among samples from different regions.
Hierarchical cluster analysis was applied to highlight similarities in the phytochemical composition observed between the samples of different regions.
American Psychological Association (APA)
Taamalli, Amani& Arráez Román, David& Gómez-Caravaca, Ana María& Zarrouk, Mokhtar& Segura-Carretero, Antonio. 2018. Geographical Characterization of Tunisian Olive Tree Leaves (cv. Chemlali) Using HPLC-ESI-TOF and ITMS Fingerprinting with Hierarchical Cluster Analysis. Journal of Analytical Methods in Chemistry،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1176475
Modern Language Association (MLA)
Taamalli, Amani…[et al.]. Geographical Characterization of Tunisian Olive Tree Leaves (cv. Chemlali) Using HPLC-ESI-TOF and ITMS Fingerprinting with Hierarchical Cluster Analysis. Journal of Analytical Methods in Chemistry No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1176475
American Medical Association (AMA)
Taamalli, Amani& Arráez Román, David& Gómez-Caravaca, Ana María& Zarrouk, Mokhtar& Segura-Carretero, Antonio. Geographical Characterization of Tunisian Olive Tree Leaves (cv. Chemlali) Using HPLC-ESI-TOF and ITMS Fingerprinting with Hierarchical Cluster Analysis. Journal of Analytical Methods in Chemistry. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1176475
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176475