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Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods

The optimal harvesting of table grapes is commonly determined based on technological and phenolic indices analyzed over the course of its maturity. The classical techniques used for these analyses are destructive, time-consuming, and work for a limited number of samples that may not represent the he...

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Autores principales: Hamie, Najwane, Tarricone, Luigi, Verrastro, Vincenzo, Natrella, Giuseppe, Faccia, Michele, Gambacorta, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909905/
https://www.ncbi.nlm.nih.gov/pubmed/35267296
http://dx.doi.org/10.3390/foods11050663
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author Hamie, Najwane
Tarricone, Luigi
Verrastro, Vincenzo
Natrella, Giuseppe
Faccia, Michele
Gambacorta, Giuseppe
author_facet Hamie, Najwane
Tarricone, Luigi
Verrastro, Vincenzo
Natrella, Giuseppe
Faccia, Michele
Gambacorta, Giuseppe
author_sort Hamie, Najwane
collection PubMed
description The optimal harvesting of table grapes is commonly determined based on technological and phenolic indices analyzed over the course of its maturity. The classical techniques used for these analyses are destructive, time-consuming, and work for a limited number of samples that may not represent the heterogeneity of the vineyard. This study aimed to follow the ripening season of table grapes using non-destructive tools as a rapid and accurate alternative for destructive techniques. Grape samples were collected from a Sugranineteen vineyard during the ripening season to measure the basic maturity indices via wet chemistry, and total polyphenols, anthocyanins, and flavonoids were evaluated by spectrophotometry. Fluorescent readings were collected from intact clusters with a portable optical sensor (Multiplex(®) 3, Force-A, France) that generates indices correlated to different maturity parameters. Results revealed strong relationships between the Multiplex(®) indices ANTH_RG and FERARI and the skin anthocyanin content, with R(2) values equal to 0.9613 and 0.8713, respectively. The NBI_R index was also related to total anthocyanins (R(2) = 0.8032), while the SFR_R index was linked to the titratable acidity (R(2) = 0.6186), the sugar content (R(2) = 0.7954), and to the color index of red grapes (CIRG) (R(2) = 0.7835). Results demonstrated that Multiplex(®) 3 can be applied on intact clusters as an effective non-destructive tool for a rapid estimation of table grapes’ anthocyanin content.
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spelling pubmed-89099052022-03-11 Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods Hamie, Najwane Tarricone, Luigi Verrastro, Vincenzo Natrella, Giuseppe Faccia, Michele Gambacorta, Giuseppe Foods Article The optimal harvesting of table grapes is commonly determined based on technological and phenolic indices analyzed over the course of its maturity. The classical techniques used for these analyses are destructive, time-consuming, and work for a limited number of samples that may not represent the heterogeneity of the vineyard. This study aimed to follow the ripening season of table grapes using non-destructive tools as a rapid and accurate alternative for destructive techniques. Grape samples were collected from a Sugranineteen vineyard during the ripening season to measure the basic maturity indices via wet chemistry, and total polyphenols, anthocyanins, and flavonoids were evaluated by spectrophotometry. Fluorescent readings were collected from intact clusters with a portable optical sensor (Multiplex(®) 3, Force-A, France) that generates indices correlated to different maturity parameters. Results revealed strong relationships between the Multiplex(®) indices ANTH_RG and FERARI and the skin anthocyanin content, with R(2) values equal to 0.9613 and 0.8713, respectively. The NBI_R index was also related to total anthocyanins (R(2) = 0.8032), while the SFR_R index was linked to the titratable acidity (R(2) = 0.6186), the sugar content (R(2) = 0.7954), and to the color index of red grapes (CIRG) (R(2) = 0.7835). Results demonstrated that Multiplex(®) 3 can be applied on intact clusters as an effective non-destructive tool for a rapid estimation of table grapes’ anthocyanin content. MDPI 2022-02-24 /pmc/articles/PMC8909905/ /pubmed/35267296 http://dx.doi.org/10.3390/foods11050663 Text en © 2022 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
Hamie, Najwane
Tarricone, Luigi
Verrastro, Vincenzo
Natrella, Giuseppe
Faccia, Michele
Gambacorta, Giuseppe
Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title_full Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title_fullStr Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title_full_unstemmed Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title_short Assessment of “Sugranineteen” Table Grape Maturation Using Destructive and Auto-Fluorescence Methods
title_sort assessment of “sugranineteen” table grape maturation using destructive and auto-fluorescence methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909905/
https://www.ncbi.nlm.nih.gov/pubmed/35267296
http://dx.doi.org/10.3390/foods11050663
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