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NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis

Texture characteristics are valuable parameters in the perceived quality and overall acceptability of fresh fruit. The characterization of grape texture attributes, such as firmness and crunchiness, is usually performed by sensory analysis or instrumental texture analysis. Both methodologies are des...

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Detalles Bibliográficos
Autores principales: Basile, Teodora, Marsico, Antonio Domenico, Perniola, Rocco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827816/
https://www.ncbi.nlm.nih.gov/pubmed/33430393
http://dx.doi.org/10.3390/foods10010113
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author Basile, Teodora
Marsico, Antonio Domenico
Perniola, Rocco
author_facet Basile, Teodora
Marsico, Antonio Domenico
Perniola, Rocco
author_sort Basile, Teodora
collection PubMed
description Texture characteristics are valuable parameters in the perceived quality and overall acceptability of fresh fruit. The characterization of grape texture attributes, such as firmness and crunchiness, is usually performed by sensory analysis or instrumental texture analysis. Both methodologies are destructive. Hence, it is not possible to test multiple times or perform any other analysis on the same sample. In this article, near-infrared (NIR) spectroscopy was applied to intact berries of table grape cv. Regal Seedless. NIR spectra were employed to predict both the physical parameter “hardness”, which is correlated with the crunchiness of berry flesh and the sweetness, which is correlated with the total soluble solids content (TSS, as °Brix). The chemometric analysis was carried out exclusively based on an open-source software environment, producing results readily usable for any operator, besides the specific level of experience with NIR spectroscopy.
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spelling pubmed-78278162021-01-25 NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis Basile, Teodora Marsico, Antonio Domenico Perniola, Rocco Foods Article Texture characteristics are valuable parameters in the perceived quality and overall acceptability of fresh fruit. The characterization of grape texture attributes, such as firmness and crunchiness, is usually performed by sensory analysis or instrumental texture analysis. Both methodologies are destructive. Hence, it is not possible to test multiple times or perform any other analysis on the same sample. In this article, near-infrared (NIR) spectroscopy was applied to intact berries of table grape cv. Regal Seedless. NIR spectra were employed to predict both the physical parameter “hardness”, which is correlated with the crunchiness of berry flesh and the sweetness, which is correlated with the total soluble solids content (TSS, as °Brix). The chemometric analysis was carried out exclusively based on an open-source software environment, producing results readily usable for any operator, besides the specific level of experience with NIR spectroscopy. MDPI 2021-01-07 /pmc/articles/PMC7827816/ /pubmed/33430393 http://dx.doi.org/10.3390/foods10010113 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Basile, Teodora
Marsico, Antonio Domenico
Perniola, Rocco
NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title_full NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title_fullStr NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title_full_unstemmed NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title_short NIR Analysis of Intact Grape Berries: Chemical and Physical Properties Prediction Using Multivariate Analysis
title_sort nir analysis of intact grape berries: chemical and physical properties prediction using multivariate analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827816/
https://www.ncbi.nlm.nih.gov/pubmed/33430393
http://dx.doi.org/10.3390/foods10010113
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