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Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy
Lemon is the most sensitive citrus fruit to cold. Therefore, it is of capital importance to detect and avoid temperatures that could damage the fruit both when it is still in the tree and in its subsequent commercialization. In order to rapidly identify frost damage in this fruit, a system based on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767336/ https://www.ncbi.nlm.nih.gov/pubmed/31546932 http://dx.doi.org/10.3390/s19184051 |
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author | Ochandio Fernández, Adrián Olguín Pinatti, Cristian Ariel Masot Peris, Rafael Laguarda-Miró, Nicolás |
author_facet | Ochandio Fernández, Adrián Olguín Pinatti, Cristian Ariel Masot Peris, Rafael Laguarda-Miró, Nicolás |
author_sort | Ochandio Fernández, Adrián |
collection | PubMed |
description | Lemon is the most sensitive citrus fruit to cold. Therefore, it is of capital importance to detect and avoid temperatures that could damage the fruit both when it is still in the tree and in its subsequent commercialization. In order to rapidly identify frost damage in this fruit, a system based on the electrochemical impedance spectroscopy technique (EIS) was used. This system consists of a signal generator device associated with a personal computer (PC) to control the system and a double-needle stainless steel electrode. Tests with a set of fruits both natural and subsequently frozen-thawed allowed us to differentiate the behavior of the impedance value depending on whether the sample had been previously frozen or not by means of a single principal components analysis (PCA) and a partial least squares discriminant analysis (PLS-DA). Artificial neural networks (ANNs) were used to generate a prediction model able to identify the damaged fruits just 24 hours after the cold phenomenon occurred, with sufficient robustness and reliability (CCR = 100%). |
format | Online Article Text |
id | pubmed-6767336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67673362019-10-02 Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy Ochandio Fernández, Adrián Olguín Pinatti, Cristian Ariel Masot Peris, Rafael Laguarda-Miró, Nicolás Sensors (Basel) Article Lemon is the most sensitive citrus fruit to cold. Therefore, it is of capital importance to detect and avoid temperatures that could damage the fruit both when it is still in the tree and in its subsequent commercialization. In order to rapidly identify frost damage in this fruit, a system based on the electrochemical impedance spectroscopy technique (EIS) was used. This system consists of a signal generator device associated with a personal computer (PC) to control the system and a double-needle stainless steel electrode. Tests with a set of fruits both natural and subsequently frozen-thawed allowed us to differentiate the behavior of the impedance value depending on whether the sample had been previously frozen or not by means of a single principal components analysis (PCA) and a partial least squares discriminant analysis (PLS-DA). Artificial neural networks (ANNs) were used to generate a prediction model able to identify the damaged fruits just 24 hours after the cold phenomenon occurred, with sufficient robustness and reliability (CCR = 100%). MDPI 2019-09-19 /pmc/articles/PMC6767336/ /pubmed/31546932 http://dx.doi.org/10.3390/s19184051 Text en © 2019 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 Ochandio Fernández, Adrián Olguín Pinatti, Cristian Ariel Masot Peris, Rafael Laguarda-Miró, Nicolás Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title | Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title_full | Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title_fullStr | Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title_full_unstemmed | Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title_short | Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy |
title_sort | freeze-damage detection in lemons using electrochemical impedance spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767336/ https://www.ncbi.nlm.nih.gov/pubmed/31546932 http://dx.doi.org/10.3390/s19184051 |
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