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dc.contributor.author
Viacava, Gabriela Elena

dc.contributor.author
Roura, Sara Ines

dc.contributor.author
Agüero, Maria Victoria

dc.date.available
2018-04-19T14:03:19Z
dc.date.issued
2015-05
dc.identifier.citation
Viacava, Gabriela Elena; Roura, Sara Ines; Agüero, Maria Victoria; Optimization of critical parameters during antioxidants extraction from butterhead lettuce to simultaneously enhance polyphenols and antioxidant activity; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 146; 5-2015; 47-54
dc.identifier.issn
0169-7439
dc.identifier.uri
http://hdl.handle.net/11336/42617
dc.description.abstract
The present work was undertaken to optimize critical parameters (ethanol concentration, time and temperature) for antioxidant extraction from lettuce leaves, measured through DPPH radical scavenging activity (DRSA) and total phenolics content (TPC), using Response Surface Methodology (RSM). Individual optimization of each response was carried out and compared with a simultaneous optimization that allowed maximizing the two responses at the same time. For simultaneous optimization, Desirability function with the Larger-the-Best criteria was employed. Determination coefficients (R2) for the second-order models adjusted by RSM were above 91% and the models showed non-significant Lack of Fit. Single optimization of DRSA found conditions for extraction (70% ethanol, 32 °C and 2.5 h) that allowed obtaining 69.62 mg ascorbic acid equivalent (AAE)/100 g FW, while 43.20 mg gallic acid equivalents (GAE)/100 g FW was predicted for TPC. Meanwhile,when optimizing only TPC as a single optimization, extraction conditions changed (70% ethanol, 42 °C and 2 h) obtaining values of 46.92 mg GAE/100 g FW for TPC and 65.43 mg AAE/100 g FW for DRSA. Optimal conditions found when the Desirability function was applied to simultaneously enhance DRSA and TPC were: 70% ethanol, 32 °C and 2 h. Under these conditions, good values for both responses were predicted: 69.62 mg AAE/100 g FW and 44.37 mg GAE/100 g FW for DRSA and TPC, respectively. These results were validated and a close agreement between experimental and predicted values indicated the suitability of the model employed and the success of RSM in modeling responses to characterize their dependence with extraction conditions under evaluation. Additionally, it was demonstrated the advantage of applying the Desirability function when more than one response must be optimized finding a compromise solution without harming any response as could happen when considering the optimal conditions for only one of them.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Radical Scavenging Activity
dc.subject
Total Phenolic Content
dc.subject
Solvent Extraction
dc.subject
Bioactive Compounds
dc.subject
Dpph
dc.subject.classification
Alimentos y Bebidas

dc.subject.classification
Otras Ingenierías y Tecnologías

dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS

dc.title
Optimization of critical parameters during antioxidants extraction from butterhead lettuce to simultaneously enhance polyphenols and antioxidant activity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-04-10T17:52:24Z
dc.journal.volume
146
dc.journal.pagination
47-54
dc.journal.pais
Países Bajos

dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Viacava, Gabriela Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Química. Grupo de Investigación en Ingeniería En Alimentos; Argentina
dc.description.fil
Fil: Roura, Sara Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Química. Grupo de Investigación en Ingeniería En Alimentos; Argentina
dc.description.fil
Fil: Agüero, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Microbiología Industrial y Biotecnología; Argentina
dc.journal.title
Chemometrics and Intelligent Laboratory Systems

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2015.05.002
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S016974391500115X
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