Literature DB >> 30634272

Analysis of the influence of the type of closure in the organoleptic characteristics of a red wine by using an electronic panel.

N Prieto1, M Gay2, S Vidal3, O Aagaard3, J A de Saja4, M L Rodriguez-Mendez5.   

Abstract

An electronic panel formed by an electronic nose, an electronic tongue and an electronic eye has been successfully used to evaluate the organoleptic characteristics of red wines vinified using different extraction techniques and micro-oxygenation methods and bottled using closures of different oxygen transmission rates (OTR). The three systems have demonstrated a good capability of discrimination by means of Principal Component Analysis (PCA). Partial Least Squares Discriminant Analysis (PLS-DA) has permitted to establish prediction models based on the type of closure, the polyphenol content or the effect of micro-oxygenation. The best correlations found using the e-eye and the e-nose are related to the OTR of the closure. In contrast, the electronic tongue is more sensitive to the polyphenol content. The discrimination and prediction capabilities of the system are significantly improved when signals from each module are combined. The electronic panel can be a useful tool for the characterisation and control of oxygen and antioxidant capability of red wines.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Closures; E-eye; E-nose; E-tongue; Electronic panel; Micro-oxygenation; Oxygen transmission rate

Year:  2011        PMID: 30634272     DOI: 10.1016/j.foodchem.2011.04.071

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach.

Authors:  Sigfredo Fuentes; Vasiliki Summerson; Claudia Gonzalez Viejo; Eden Tongson; Nir Lipovetzky; Kerry L Wilkinson; Colleen Szeto; Ranjith R Unnithan
Journal:  Sensors (Basel)       Date:  2020-09-08       Impact factor: 3.576

Review 2.  Toward the Development of Combined Artificial Sensing Systems for Food Quality Evaluation: A Review on the Application of Data Fusion of Electronic Noses, Electronic Tongues and Electronic Eyes.

Authors:  Rosalba Calvini; Laura Pigani
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

  2 in total

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