Optical detection of mealiness in apples using laser TDRS

Valero Ubierna, Constantino; Barreiro Elorza, Pilar; Ruiz-Altisent, Margarita; Cubeddu, Rinaldo; Pifferi, Antonio; Taroni, Paola; Torricelli, Alessandro; Valentini, Gianluca; Johnson, David y Dover, Colin (2001). Optical detection of mealiness in apples using laser TDRS. Monografía (Artículo de trabajo). E.T.S.I. Agrónomos (UPM) [antigua denominación].

Descripción

Título: Optical detection of mealiness in apples using laser TDRS
Autor/es:
  • Valero Ubierna, Constantino
  • Barreiro Elorza, Pilar
  • Ruiz-Altisent, Margarita
  • Cubeddu, Rinaldo
  • Pifferi, Antonio
  • Taroni, Paola
  • Torricelli, Alessandro
  • Valentini, Gianluca
  • Johnson, David
  • Dover, Colin
Tipo de Documento: Monográfico (Informes, Documentos de trabajo, etc.) (Artículo de trabajo)
Fecha: 2001
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Grupo Investigación UPM: LPF-TAGRALIA
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Mealiness is a textural attribute related to an internal fruit disorder that involves quality loss. It is characterised by the combination of abnormal softness of the fruit and absence of free juiciness in the mouth when eaten by the consumer. Recent research concluded with the development of precise instrumental procedure to measure a scale of mealiness based on the combination of several rheological properties and empirical magnitudes. In this line, time-domain laser reflectance spectroscopy (TDRS) is a medical technology, new in agrofood research, which is capable of obtaining physical and chemical information independently and simultaneously, and this can be of interest to characterise mealiness. Using VIS & NIR lasers as light sources, TDRS was applied in this work to Golden Delicious and Cox apples (n=90), conforming several batches of untreated samples and storage-treated (20°C & 95%RH) to promote the development of mealiness. The collected database was clustered into different groups according to their instrumental test values (Barreiro et al, 1998). The optical coefficients were used as explanatory variables when building discriminant analysis functions for mealiness, achieving a classification score above 80% of correctly identified mealy versus fresh apples.

Más información

ID de Registro: 16404
Identificador DC: http://oa.upm.es/16404/
Identificador OAI: oai:oa.upm.es:16404
Depositado por: Servicio Biblioteca Universitaria
Depositado el: 11 Jul 2013 10:21
Ultima Modificación: 21 Abr 2016 16:42
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