dc.date.accessioned2018-07-13T16:32:24Z
dc.date.available2018-07-13T16:32:24Z
dc.date.created2018-07-13T16:32:24Z
dc.date.issued2014
dc.identifierhttp://hdl.handle.net/10533/215550
dc.identifier1130198
dc.description.abstractAnalysing the texture of fresh fruit is a fundamental aim in the food industry because it is the main factor that affects consumer acceptance, and it must therefore be measured objectively. However, as it is a sensory property, human beings should be involved in assessing it. To achieve this goal, panels of trained judges describe and quantify certain previously defined textural attributes for a particular food. For fresh peaches and nectarines, there are no established methodologies for training a specific panel to describe texture. Therefore, the aims of this investigation were (1) to select sensory attributes, develop lexicon and intensity scales for training a sensory panel and (2) to describe peach and nectarine cultivars according to their textural properties. An appropriate lexicon was generated using five descriptors: ‘hardness’, ‘juiciness’, ‘melting’, ‘crispness’ and ‘crunchiness’. The panel was able to describe twelve peach cultivars and segregate them according to their textural properties in three groups: melting flesh, non melting flesh, and an intermediate group formed by MF and NMF genotypes.
dc.languageeng
dc.relationhttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.655.1658
dc.relationinfo:eu-repo/grantAgreement//1130198
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.titleTraining a sensory panel for describing texture in peach and nectarines
dc.typeArticulo


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