Mostrar el registro sencillo del ítem

dc.contributor.author
Soberon, Laura Fabiana  
dc.contributor.author
Carelli Albarracin, Amalia Antonia  
dc.contributor.author
Gonzalez, Maria Teresa  
dc.contributor.author
Ceci, Liliana Noemí  
dc.date.available
2020-03-17T22:12:04Z  
dc.date.issued
2019-08  
dc.identifier.citation
Soberon, Laura Fabiana; Carelli Albarracin, Amalia Antonia; Gonzalez, Maria Teresa; Ceci, Liliana Noemí; Method for phenol recovery from “alperujo”: numerical optimization and predictive model; Springer; European Food Research and Technology; 245; 8; 8-2019; 1641-1650  
dc.identifier.issn
1438-2377  
dc.identifier.uri
http://hdl.handle.net/11336/99963  
dc.description.abstract
“Alperujos” of Arbequina olives harvested in 2010 and 2011 and of Nevadillo olives in 2012 were evaluated in order to reduce their pollutant load by recovering the phenols with antioxidant properties. First, three successive extractions with water (4 °C, 120 min) were carried out to evaluate by spectrophotometry the total phenol contents, which significantly varied with cultivar and harvest year. The combined aqueous extracts of “alperujo” (combined-AEA) showed high pollutant loads with volatile solids to total solids ratios close to 1 suggesting high organic material contents and very low total phenols to chemical oxygen demand ratios. Second, phenols were recovered from the combined-AEA using ethyl acetate. By experimental design, the following conditions were found to maximize phenol recovery: temperature = 20 °C, time = 120 min, pH of aqueous extract = 2.00 and solvent/extract ratio (v/v) = 3:1. Up to 41.6% of the phenols were recovered from the combined-AEA after three successive extractions using recycled solvent.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ALPERUJO  
dc.subject
BIOPHENOLS  
dc.subject
OLIVE WASTES  
dc.subject
PHENOL EXTRACTION  
dc.subject
PHENOL RECOVERY  
dc.subject.classification
Alimentos y Bebidas  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Method for phenol recovery from “alperujo”: numerical optimization and predictive model  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-02-26T20:21:54Z  
dc.journal.volume
245  
dc.journal.number
8  
dc.journal.pagination
1641-1650  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Soberon, Laura Fabiana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Carelli Albarracin, Amalia Antonia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Gonzalez, Maria Teresa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Ceci, Liliana Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.journal.title
European Food Research and Technology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s00217-019-03269-1  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00217-019-03269-1