Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy

[EN] 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 base...

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Autores: Ochandio Fernández, A., Olguín Pinatti, Cristian Ariel|||0000-0003-3859-1216, Masot Peris, Rafael|||0000-0002-1114-649X, Laguarda-Miro, Nicolas|||0000-0001-6829-7160
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/137955
Acceso en línea:https://riunet.upv.es/handle/10251/137955
Access Level:acceso abierto
Palabra clave:Electrochemical impedance spectroscopy
Lemon
Freeze damage
Detection
INGENIERIA QUIMICA
TECNOLOGIA ELECTRONICA
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spelling Freeze-Damage Detection in Lemons Using Electrochemical Impedance SpectroscopyOchandio Fernández, A.Olguín Pinatti, Cristian Ariel|||0000-0003-3859-1216Masot Peris, Rafael|||0000-0002-1114-649XLaguarda-Miro, Nicolas|||0000-0001-6829-7160Electrochemical impedance spectroscopyLemonFreeze damageDetectionINGENIERIA QUIMICATECNOLOGIA ELECTRONICA[EN] 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%).This research was funded by the the Spanish Government/FEDER funds (RTI2018-100910-B-C43) (MINECO/FEDER) and the Conselleria d'Educacio, Investigacio, Cultura i Esport de la Generalitat Valenciana (GV/2018/090).MDPI AGDepartamento de Ingeniería Química y NuclearDepartamento de Ingeniería ElectrónicaEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialEscuela Técnica Superior de Ingeniería IndustrialInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo TecnológicoGeneralitat ValencianaAgencia Estatal de InvestigaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/137955reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2018%2F090Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C43 DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOSopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1379552026-06-13T07:49:27Z
dc.title.none.fl_str_mv Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy
title Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy
spellingShingle Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy
Ochandio Fernández, A.
Electrochemical impedance spectroscopy
Lemon
Freeze damage
Detection
INGENIERIA QUIMICA
TECNOLOGIA ELECTRONICA
title_short 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_sort Freeze-Damage Detection in Lemons Using Electrochemical Impedance Spectroscopy
dc.creator.none.fl_str_mv Ochandio Fernández, A.
Olguín Pinatti, Cristian Ariel|||0000-0003-3859-1216
Masot Peris, Rafael|||0000-0002-1114-649X
Laguarda-Miro, Nicolas|||0000-0001-6829-7160
author Ochandio Fernández, A.
author_facet Ochandio Fernández, A.
Olguín Pinatti, Cristian Ariel|||0000-0003-3859-1216
Masot Peris, Rafael|||0000-0002-1114-649X
Laguarda-Miro, Nicolas|||0000-0001-6829-7160
author_role author
author2 Olguín Pinatti, Cristian Ariel|||0000-0003-3859-1216
Masot Peris, Rafael|||0000-0002-1114-649X
Laguarda-Miro, Nicolas|||0000-0001-6829-7160
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Química y Nuclear
Departamento de Ingeniería Electrónica
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Escuela Técnica Superior de Ingeniería Industrial
Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico
Generalitat Valenciana
Agencia Estatal de Investigación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Electrochemical impedance spectroscopy
Lemon
Freeze damage
Detection
INGENIERIA QUIMICA
TECNOLOGIA ELECTRONICA
topic Electrochemical impedance spectroscopy
Lemon
Freeze damage
Detection
INGENIERIA QUIMICA
TECNOLOGIA ELECTRONICA
description [EN] 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%).
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/137955
url https://riunet.upv.es/handle/10251/137955
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 GV%2F2018%2F090
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C43 DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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