Mealiness detection in apples using time resolved reflectance spectroscopy

Valero Ubierna, Constantino and Barreiro Elorza, Pilar and Ruiz-Altisent, Margarita and Cubeddu, Rinaldo and Pifferi, Antonio and Taroni, Paola and Torricelli, Alessandro and Valentini, Gianluca and Johnson, David and Dover, Colin (2005). Mealiness detection in apples using time resolved reflectance spectroscopy. "Journal of Texture Studies", v. 36 (n. 4); pp. 439-458. ISSN 1745-4603. https://doi.org/10.1111/j.1745-4603.2005.00026.x.

Description

Title: Mealiness detection in apples using time resolved reflectance spectroscopy
Author/s:
  • Valero Ubierna, Constantino
  • Barreiro Elorza, Pilar
  • Ruiz-Altisent, Margarita
  • Cubeddu, Rinaldo
  • Pifferi, Antonio
  • Taroni, Paola
  • Torricelli, Alessandro
  • Valentini, Gianluca
  • Johnson, David
  • Dover, Colin
Item Type: Article
Título de Revista/Publicación: Journal of Texture Studies
Date: August 2005
Volume: 36
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Mealiness is a textural attribute related to internal fruit disorder that is characterized by the combination of abnormal softness of the fruit and absence of free juiciness in the mouth when eaten by the consumer. Time-resolved laser reflectance spectroscopy was used as a tool to determine mealiness. This new technique in agrofood research may provide physical and chemical information independently and simultaneously, which is relevant to characterize mealiness. Using visible and near infrared lasers as light sources, time-resolved laser reflectance spectroscopy was applied to Golden Delicious and Cox apples (n = 90), to characterize batches of untreated samples and samples that were stored under conditions that promote the development of mealiness (20C & 95% RH). The collected database was clustered into different groups according to their instrumental test values. The optical coefficients were used as explanatory variables to build discriminant functions for mealiness. The performance of the classification models created ranged from 47 to 100% of correctly identified mealy versus nonmealy apples.

More information

Item ID: 6119
DC Identifier: http://oa.upm.es/6119/
OAI Identifier: oai:oa.upm.es:6119
DOI: 10.1111/j.1745-4603.2005.00026.x
Official URL: http://onlinelibrary.wiley.com/doi/10.1111/j.1745-4603.2005.00026.x/abstract
Deposited by: Memoria Investigacion
Deposited on: 22 Feb 2011 10:44
Last Modified: 20 Apr 2016 14:44
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