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Salvatore La Bella

Researcher at University of Palermo

Publications -  67
Citations -  1387

Salvatore La Bella is an academic researcher from University of Palermo. The author has contributed to research in topics: Biology & Essential oil. The author has an hindex of 19, co-authored 51 publications receiving 985 citations.

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A survey of wild plant species for food use in Sicily (Italy) – results of a 3-year study in four Regional Parks

TL;DR: The research shows that the level of traditional knowledge on the food use of wild plant species in the study area is poor and the food uses of plants which are most likely to survive over time are those at the interface of food and medicine.
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Effects of plant species in a horizontal subsurface flow constructed wetland – phytoremediation of treated urban wastewater with Cyperus alternifolius L. and Typha latifolia L. in the West of Sicily (Italy)

TL;DR: In this paper, two emergent macrophytes (Cyperus alternifolius L. and Typha latifolia L. ) were compared in a pilot horizontal subsurface flow system for the phytoremediation of treated urban wastewater in the West of Sicily (Italy).
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Ethnobotanical study in the Madonie Regional Park (Central Sicily, Italy)--medicinal use of wild shrub and herbaceous plant species.

TL;DR: Of the 170 endemic species found in the Madonie Regional Park, only 2 species were cited in this study for medicinal purposes, and most of the species were used against dermatological diseases, general health and metabolic disorders.
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Ethnobotanical investigation on wild medicinal plants in the Monti Sicani Regional Park (Sicily, Italy).

TL;DR: The research shows an ongoing process of cultural erosion in an advanced stage, but results still highlight an interesting cultural identity as regards the local folk medicine.
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Biomolecular characterization of wild sicilian oregano: phytochemical screening of essential oils and extracts, and evaluation of their antioxidant activities.

TL;DR: An extensive survey of wild Sicilian oregano was made, followed by taxonomic characterization from an agronomic perspective, and cluster analysis was used to divide the samples into homogeneous groups, to identify the best biotypes.