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dc.contributor.author
Goyeneche, Rosario
dc.contributor.author
Roura, Sara Ines
dc.contributor.author
Di Scala, Karina Cecilia
dc.date.available
2018-01-26T19:18:29Z
dc.date.issued
2014-07
dc.identifier.citation
Goyeneche, Rosario; Roura, Sara Ines; Di Scala, Karina Cecilia; Principal component and hierarchical cluster analysis to select hurdle technologies for minimal processed radishes; Elsevier Science; LWT - Food Science and Technology; 57; 2; 7-2014; 522-529
dc.identifier.issn
0023-6438
dc.identifier.uri
http://hdl.handle.net/11336/34759
dc.description.abstract
The application of principal component and hierarchical cluster analysis as a mathematical tool to select hurdle technologies (physical and chemical) to inhibit polyphenol oxidase (PPO) activity and color stability of minimally sliced radishes was presented. Results of PPO activity and color were reported initially (day zero) and after 4 d of refrigerated storage. Based on the mentioned tools and from the thirteen mono-hurdles technologies that were initially selected, eight hurdles were chosen as the best and combined in pairs. From those hurdles, the following double-hurdles were selected as those capable of retaining the product color: Ascorbic Acid (AA) + Acetic Acid (ACA-05), AA + NaCl-1, ACA-05+NaCl-1, AA + Heat Treatment (TT-501), ACA-05 + Ultrasound (US), Citric Acid (CA) + AA, CA + ACA-05, NaCl-1+US. When comparing the best mono-hurdles (AA, TT-501, NaCl-1) to the best double hurdles, the following hurdles: AA, TT-501, CA + ACA-05, NaCl-1+US, CA + AA and NaCl-1 were chosen as those capable of maintaining the typical color of radish slices with acceptable sensory parameters and enzyme inhibition after 4 d of storage.
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-nd/2.5/ar/
dc.subject
Hurdle Technology
dc.subject
Minimally Processing
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Polyphenoloxidase
dc.subject
Color
dc.subject
Radish
dc.subject.classification
Alimentos y Bebidas
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Principal component and hierarchical cluster analysis to select hurdle technologies for minimal processed radishes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-26T18:57:01Z
dc.journal.volume
57
dc.journal.number
2
dc.journal.pagination
522-529
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Goyeneche, Rosario. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Química. Grupo de Inv En Ingeniería En Alimentos; Argentina. Agencia Nacional de Promoción Científicas y Tecnológica ; 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 Inv En Ingeniería En Alimentos; Argentina
dc.description.fil
Fil: Di Scala, Karina Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Química. Grupo de Inv En Ingeniería En Alimentos; Argentina
dc.journal.title
LWT - Food Science and Technology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.lwt.2014.02.022
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S002364381400098X
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