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Quick assessment of the economic value of olive mill waste water

Overview of attention for article published in BMC Chemistry, October 2016
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Title
Quick assessment of the economic value of olive mill waste water
Published in
BMC Chemistry, October 2016
DOI 10.1186/s13065-016-0207-7
Pubmed ID
Authors

Riccardo Delisi, Filippo Saiano, Mario Pagliaro, Rosaria Ciriminna

Abstract

Olive biophenols are emerging as a valued class of natural products finding practical application in the food, pharmaceutical, beverage, cosmetic and nutraceutical industries due to their powerful biological activity which includes antioxidant and antimicrobial properties. Olive mill waste water (OMWW), a by-product in olive oil manufacturing, is rich in biophenols such as hydroxytyrosol and tyrosol. The amount of biophenols depends on the cultivar, the geographical area of cultivation, and the seasonal conditions. The goal of this study was to develop a straightforward method to assess the economic value of OMWW via quantification of hydroxytyrosol and tyrosol. The amount of hydroxytyrosol and tyrosol phenolic compounds in the OMWW from four different cultivars grown in four different regions of Sicily was analyzed using liquid-liquid and solid-liquid analytical protocols developed ad hoc. Results showed significant differences amongst the different cultivars and their geographical origin. In all samples, the concentration of hydroxytyrosol was generally from 2 to 10 times higher than that of tyrosol. In general, the liquid-liquid extraction protocol gave higher amounts of extracted biophenols. The cultivar Cerasuola had the highest amount of both hydroxytyrosol and tyrosol. The cultivar Nocellara Etnea had the lowest content of both biophenols. A quick method to assess the economic value of olive mill waste water via quantification of hydroxytyrosol and tyrosol in olive phenolic enriched extracts is now available.

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Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Student > Master 8 25%
Professor 4 13%
Student > Ph. D. Student 2 6%
Other 1 3%
Other 2 6%
Unknown 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Chemistry 6 19%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 16%
Unknown 8 25%