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Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling

The variability in grape ripening is associated with the fact that each grape berry undergoes its own biochemical processes. Traditional viticulture manages this by averaging the physicochemical values of hundreds of grapes to make decisions. However, to obtain accurate results it is necessary to ev...

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Autores principales: Schorn-García, Daniel, Giussani, Barbara, García-Casas, María Jesús, Rico, Daniel, Martin-Diana, Ana Belén, Aceña, Laura, Busto, Olga, Boqué, Ricard, Mestres, Montserrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001218/
https://www.ncbi.nlm.nih.gov/pubmed/36900479
http://dx.doi.org/10.3390/foods12050962
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author Schorn-García, Daniel
Giussani, Barbara
García-Casas, María Jesús
Rico, Daniel
Martin-Diana, Ana Belén
Aceña, Laura
Busto, Olga
Boqué, Ricard
Mestres, Montserrat
author_facet Schorn-García, Daniel
Giussani, Barbara
García-Casas, María Jesús
Rico, Daniel
Martin-Diana, Ana Belén
Aceña, Laura
Busto, Olga
Boqué, Ricard
Mestres, Montserrat
author_sort Schorn-García, Daniel
collection PubMed
description The variability in grape ripening is associated with the fact that each grape berry undergoes its own biochemical processes. Traditional viticulture manages this by averaging the physicochemical values of hundreds of grapes to make decisions. However, to obtain accurate results it is necessary to evaluate the different sources of variability, so exhaustive sampling is essential. In this article, the factors “grape maturity over time” and “position of the grape” (both in the grapevine and in the bunch/cluster) were considered and studied by analyzing the grapes with a portable ATR-FTIR instrument and evaluating the spectra obtained with ANOVA–simultaneous component analysis (ASCA). Ripeness over time was the main factor affecting the characteristics of the grapes. Position in the vine and in the bunch (in that order) were also significantly important, and their effect on the grapes evolves over time. In addition, it was also possible to predict basic oenological parameters (TSS and pH with errors of 0.3 °Brix and 0.7, respectively). Finally, a quality control chart was built based on the spectra obtained in the optimal state of ripening, which could be used to decide which grapes are suitable for harvest.
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spelling pubmed-100012182023-03-11 Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling Schorn-García, Daniel Giussani, Barbara García-Casas, María Jesús Rico, Daniel Martin-Diana, Ana Belén Aceña, Laura Busto, Olga Boqué, Ricard Mestres, Montserrat Foods Article The variability in grape ripening is associated with the fact that each grape berry undergoes its own biochemical processes. Traditional viticulture manages this by averaging the physicochemical values of hundreds of grapes to make decisions. However, to obtain accurate results it is necessary to evaluate the different sources of variability, so exhaustive sampling is essential. In this article, the factors “grape maturity over time” and “position of the grape” (both in the grapevine and in the bunch/cluster) were considered and studied by analyzing the grapes with a portable ATR-FTIR instrument and evaluating the spectra obtained with ANOVA–simultaneous component analysis (ASCA). Ripeness over time was the main factor affecting the characteristics of the grapes. Position in the vine and in the bunch (in that order) were also significantly important, and their effect on the grapes evolves over time. In addition, it was also possible to predict basic oenological parameters (TSS and pH with errors of 0.3 °Brix and 0.7, respectively). Finally, a quality control chart was built based on the spectra obtained in the optimal state of ripening, which could be used to decide which grapes are suitable for harvest. MDPI 2023-02-24 /pmc/articles/PMC10001218/ /pubmed/36900479 http://dx.doi.org/10.3390/foods12050962 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schorn-García, Daniel
Giussani, Barbara
García-Casas, María Jesús
Rico, Daniel
Martin-Diana, Ana Belén
Aceña, Laura
Busto, Olga
Boqué, Ricard
Mestres, Montserrat
Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title_full Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title_fullStr Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title_full_unstemmed Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title_short Assessment of Variability Sources in Grape Ripening Parameters by Using FTIR and Multivariate Modelling
title_sort assessment of variability sources in grape ripening parameters by using ftir and multivariate modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001218/
https://www.ncbi.nlm.nih.gov/pubmed/36900479
http://dx.doi.org/10.3390/foods12050962
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