ETS INGENIERIAS AGRARIAS
Centre
Víctor
Martínez Martínez
Publications dans lesquelles il/elle collabore avec Víctor Martínez Martínez (15)
2023
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Influence of Oxygen Management on Color and Phenolics of Red Wines
Molecules, Vol. 28, Núm. 1
2022
2021
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Air saturation methodology proposal for the analysis of wine oxygen consumption kinetics
Food Research International, Vol. 147
2020
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Artificial intelligence methods for constructing wine barrels with a controlled oxygen transmission rate
Molecules, Vol. 25, Núm. 14
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Customized oxygenation barrels as a new strategy for controlled wine aging
Food Research International, Vol. 131
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Study of the role of oxygen in the evolution of red wine colour under different ageing conditions in barrels and bottles
Food Chemistry, Vol. 328
2019
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Application of image analysis and artificial neural networks to the prediction in-line of OTR in oak wood planks for cooperage
Materials and Design, Vol. 181
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Image of O2 dynamics released by oak wood submerged in model wine with nanoparticle sensors
Sensors and Actuators, B: Chemical, Vol. 284, pp. 337-345
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Influence of Quercus petraea Liebl. wood structure on the permeation of oxygen through wine barrel staves
Holzforschung, Vol. 73, Núm. 9, pp. 859-870
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Prediction models to control aging time in red wine
Molecules, Vol. 24, Núm. 5
2018
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Method to estimate the medullar rays angle in pieces of wood based on tree-ring structure: application to planks of Quercus petraea
Wood Science and Technology, Vol. 52, Núm. 2, pp. 519-539
2017
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On-line monitoring of oxygen as a method to qualify the oxygen consumption rate of wines
Food Chemistry, Vol. 229, pp. 588-596
2016
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Analysis of the role of wood anatomy on oxygen diffusivity in barrel staves using luminescent imaging
Sensors and Actuators, B: Chemical, Vol. 237, pp. 1035-1043
2013
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Modelo basado en redes neuronales artificiales para el cálculo de parámetros ambientales en el proceso de curado del tabaco
Informador técnico, Vol. 77, Núm. 1, pp. 35-46
2012
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Temperature and relative humidity estimation and prediction in the tobacco drying process using artificial neural networks
Sensors (Switzerland), Vol. 12, Núm. 10, pp. 14004-14021