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Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters

The determination of strawberry fruit quality through the traditional destructive lab techniques has some limitations related to the amplitude of the samples, the timing and the applicability along all phases of the supply chain. The aim of this study was to determine the main qualitative characteri...

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Autores principales: Mancini, Manuela, Mazzoni, Luca, Gagliardi, Francesco, Balducci, Francesca, Duca, Daniele, Toscano, Giuseppe, Mezzetti, Bruno, Capocasa, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231257/
https://www.ncbi.nlm.nih.gov/pubmed/32268548
http://dx.doi.org/10.3390/foods9040441
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author Mancini, Manuela
Mazzoni, Luca
Gagliardi, Francesco
Balducci, Francesca
Duca, Daniele
Toscano, Giuseppe
Mezzetti, Bruno
Capocasa, Franco
author_facet Mancini, Manuela
Mazzoni, Luca
Gagliardi, Francesco
Balducci, Francesca
Duca, Daniele
Toscano, Giuseppe
Mezzetti, Bruno
Capocasa, Franco
author_sort Mancini, Manuela
collection PubMed
description The determination of strawberry fruit quality through the traditional destructive lab techniques has some limitations related to the amplitude of the samples, the timing and the applicability along all phases of the supply chain. The aim of this study was to determine the main qualitative characteristics through traditional lab destructive techniques and Near Infrared Spectroscopy (NIR) in fruits of five strawberry genotypes. Principal Component Analysis (PCA) was applied to search for spectral differences among all the collected samples. A Partial Least Squares regression (PLS) technique was computed in order to predict the quality parameters of interest. The PLS model for the soluble solids content prediction was the best performing—in fact, it is a robust and reliable model and the validation values suggested possibilities for its use in quality applications. A suitable PLS model is also obtained for the firmness prediction—the validation values tend to worsen slightly but can still be accepted in screening applications. NIR spectroscopy represents an important alternative to destructive techniques, using the infrared region of the electromagnetic spectrum to investigate in a non-destructive way the chemical–physical properties of the samples, finding remarkable applications in the agro-food market.
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spelling pubmed-72312572020-05-22 Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters Mancini, Manuela Mazzoni, Luca Gagliardi, Francesco Balducci, Francesca Duca, Daniele Toscano, Giuseppe Mezzetti, Bruno Capocasa, Franco Foods Article The determination of strawberry fruit quality through the traditional destructive lab techniques has some limitations related to the amplitude of the samples, the timing and the applicability along all phases of the supply chain. The aim of this study was to determine the main qualitative characteristics through traditional lab destructive techniques and Near Infrared Spectroscopy (NIR) in fruits of five strawberry genotypes. Principal Component Analysis (PCA) was applied to search for spectral differences among all the collected samples. A Partial Least Squares regression (PLS) technique was computed in order to predict the quality parameters of interest. The PLS model for the soluble solids content prediction was the best performing—in fact, it is a robust and reliable model and the validation values suggested possibilities for its use in quality applications. A suitable PLS model is also obtained for the firmness prediction—the validation values tend to worsen slightly but can still be accepted in screening applications. NIR spectroscopy represents an important alternative to destructive techniques, using the infrared region of the electromagnetic spectrum to investigate in a non-destructive way the chemical–physical properties of the samples, finding remarkable applications in the agro-food market. MDPI 2020-04-06 /pmc/articles/PMC7231257/ /pubmed/32268548 http://dx.doi.org/10.3390/foods9040441 Text en © 2020 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
Mancini, Manuela
Mazzoni, Luca
Gagliardi, Francesco
Balducci, Francesca
Duca, Daniele
Toscano, Giuseppe
Mezzetti, Bruno
Capocasa, Franco
Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title_full Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title_fullStr Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title_full_unstemmed Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title_short Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters
title_sort application of the non-destructive nir technique for the evaluation of strawberry fruits quality parameters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231257/
https://www.ncbi.nlm.nih.gov/pubmed/32268548
http://dx.doi.org/10.3390/foods9040441
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