Olive mill wastewaters: quantitation of the phenolic content and profiling of elenolic acid derivatives using HPLC-DAD and HPLC/MS


Journal

Natural product research
ISSN: 1478-6427
Titre abrégé: Nat Prod Res
Pays: England
ID NLM: 101167924

Informations de publication

Date de publication:
Nov 2019
Historique:
pubmed: 12 10 2018
medline: 30 11 2019
entrez: 11 10 2018
Statut: ppublish

Résumé

Olive mill wastewaters (OMWs) are important by-products of olive oil production. The wide availability and the forbidding economic costs of OMWs disposal have generated interest in their possible exploitation as a sustainable source of polyphenols. The development and optimisation of improved analytical methods for the detailed characterisation of polyphenol molecular profiles after production and during storage conditions are thus required. A new analytical method based on reverse-phase HPLC separation of polyphenols in OMWs on an embedded-polar group (EPG) stationary phase is proposed as an alternative to conventional C18 columns. The procedure was used for the quantitation of 11 polyphenols, using diode-array detection (DAD), and achieving quantitation limits equal to or lower than 0.1 µg g

Identifiants

pubmed: 30303396
doi: 10.1080/14786419.2018.1522632
doi:

Substances chimiques

Olive Oil 0
Phenols 0
Polyphenols 0
Pyrans 0
Waste Water 0
elenolic acid 34422-12-3

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Pagination

3171-3175

Auteurs

Marco Mattonai (M)

Department of Chemistry and Industrial Chemistry, University of Pisa , Pisa , Italy.

Andrea Vinci (A)

Laboratori ARCHA srl Unipersonale , Pisa , Italy.

Ilaria Degano (I)

Department of Chemistry and Industrial Chemistry, University of Pisa , Pisa , Italy.

Erika Ribechini (E)

Department of Chemistry and Industrial Chemistry, University of Pisa , Pisa , Italy.

Massimiliano Franceschi (M)

Laboratori ARCHA srl Unipersonale , Pisa , Italy.

Francesca Modugno (F)

Department of Chemistry and Industrial Chemistry, University of Pisa , Pisa , Italy.

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Classifications MeSH