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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7827816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT basileteodora niranalysisofintactgrapeberrieschemicalandphysicalpropertiespredictionusingmultivariateanalysis AT marsicoantoniodomenico niranalysisofintactgrapeberrieschemicalandphysicalpropertiespredictionusingmultivariateanalysis AT perniolarocco niranalysisofintactgrapeberrieschemicalandphysicalpropertiespredictionusingmultivariateanalysis |