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Open AccessArticle

Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate

1
Department of Agricultural and Forestry Engineering, UVaMOX-Universidad de Valladolid, 34001 Palencia, Spain
2
Department of Analytical Chemistry, UVaMOX-Universidad de Valladolid, 34001 Palencia, Spain
*
Authors to whom correspondence should be addressed.
Academic Editor: Encarna Gómez-Plaza
Molecules 2020, 25(14), 3312; https://doi.org/10.3390/molecules25143312
Received: 22 May 2020 / Revised: 9 July 2020 / Accepted: 20 July 2020 / Published: 21 July 2020
(This article belongs to the Special Issue Alcoholic Beverages Aging Technologies)
Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is the parameter of the wood that reflects its oxygen permeation. OTR has not been considered in the cooperage industry yet; however, recent studies proposed a nondestructive method for estimating the OTR of barrel staves, but an efficient method to combine these staves to build barrels with a desired OTR is needed to implement it in the industry. This article proposes artificial intelligence methods for selecting staves for the construction of barrel heads or bodies with a desired target OTR. Genetic algorithms were used to implement these methods in consideration of the known OTR of the staves and the geometry of the wine barrels. The proposed methods were evaluated in several scenarios: homogenizing the OTR of the actual constructed barrels, constructing low-OTR and high-OTR barrels based on a preclassification of the staves and implementing the proposed method in real cooperage conditions. The results of these experiments suggest the suitability of the proposed methods for their implementation in a cooperage in order to build controlled OTR barrels. View Full-Text
Keywords: genetic algorithm; active packaging; oxygen transmission rate; cooperage; process optimization genetic algorithm; active packaging; oxygen transmission rate; cooperage; process optimization
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MDPI and ACS Style

Martínez-Martínez, V.; Nevares, I.; del Alamo-Sanza, M. Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate. Molecules 2020, 25, 3312.

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