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dc.contributor.author | Albelda Aparisi, Pablo | es_ES |
dc.contributor.author | Fortes Sánchez, Elena | es_ES |
dc.contributor.author | Contat-Rodrigo, L | es_ES |
dc.contributor.author | Masot Peris, Rafael | es_ES |
dc.contributor.author | Laguarda-Miro, Nicolas | es_ES |
dc.date.accessioned | 2021-11-05T14:07:28Z | |
dc.date.available | 2021-11-05T14:07:28Z | |
dc.date.issued | 2021-05-15 | es_ES |
dc.identifier.issn | 1530-437X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/176286 | |
dc.description.abstract | [EN] This study focuses on the analysis and early detection of freeze-damage in tangerines using a specific double-needle sensor and Electrochemical Impedance Spectroscopy (EIS). Freeze damage may appear in citrus fruits both in the field and in postharvest processes resulting in quality loss and a difficult commercialization of the fruit. EIS has been used to test a set of homogeneous tangerine samples both fresh and later frozen to analyze electrochemical and biological differences. A double-needle electrode associated to a specifically designed electronic device and software has been designed and used to send an AC electric sinusoidal signal 1 V in amplitude and frequency range [100Hz to 1MHz] to the analyzed samples and then receive the electrochemical impedance response. EIS measurements lead to distinct values of both impedance module and phase of fresh and frozen samples over a wide frequency range. Statistical treatment of the received data set by Principal Components Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) shows a clear classification of the samples depending on the experienced freeze phenomenon, with high sensitivity (1.00), specificity (>= 0.95) and confidence level (95%). Later Artificial Neural Networks (ANN) analysis based on 20-3-1 architecture has allowed to create a mathematical prediction model able to correctly classify 100% of the analyzed samples (CCR =100% for training, validation and test phases, and overall classification), being fast, easy, robust and reliable, and an interesting alternative method to the traditional laboratory analyses. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Government/FEDER funds [Ministerio de Economia y Empresa (MINECO)/Fondo Europeo de Desarrollo Regional (FEDER)] under Grant RTI2018-100910-B-C43 and in part by the Conselleria d'Educacio, Investigacio, Cultura i Esport de la Generalitat Valenciana under Grant GV/2018/090. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Sensors Journal | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Double-needle sensor | es_ES |
dc.subject | Electrode | es_ES |
dc.subject | Electrochemical impedance spectroscopy (EIS) | es_ES |
dc.subject | Tangerine | es_ES |
dc.subject | Freeze damage | es_ES |
dc.subject | Detection | es_ES |
dc.subject | Artificial neural networks (ANN) | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.subject.classification | INGENIERIA QUIMICA | es_ES |
dc.title | A Rapid Electrochemical Impedance Spectroscopy and Sensor-Based Method for Monitoring Freeze-Damage in Tangerines | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/JSEN.2021.3065846 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-100910-B-C43/ES/DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//GV%2F2018%2F090//DESARROLLO DE SENSORES PARA LA DETECCIÓN DE ÁCIDO ASCORBICO EN ALIMENTOS BASADOS EN TRANSITORES ORGÁNICOS ELECTROQUÍMICOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear | es_ES |
dc.description.bibliographicCitation | Albelda Aparisi, P.; Fortes Sánchez, E.; Contat-Rodrigo, L.; Masot Peris, R.; Laguarda-Miro, N. (2021). A Rapid Electrochemical Impedance Spectroscopy and Sensor-Based Method for Monitoring Freeze-Damage in Tangerines. IEEE Sensors Journal. 21(10):12009-12018. https://doi.org/10.1109/JSEN.2021.3065846 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/JSEN.2021.3065846 | es_ES |
dc.description.upvformatpinicio | 12009 | es_ES |
dc.description.upvformatpfin | 12018 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 21 | es_ES |
dc.description.issue | 10 | es_ES |
dc.relation.pasarela | S\436874 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |