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Moisture content estimation models of flour matrices in the 67-110 GHz frequency range using a nondestructive and contactless monitoring system
dc.creator | Quemada Mayoral, Carlos | es_ES |
dc.creator | Ederra Urzainqui, Íñigo | es_ES |
dc.creator | Beruete Díaz, Miguel | es_ES |
dc.creator | Gonzalo García, Ramón | es_ES |
dc.creator | Iriarte Galarregui, Juan Carlos | es_ES |
dc.date.accessioned | 2024-02-09T09:05:17Z | |
dc.date.available | 2024-02-09T09:05:17Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Mayoral, C. Q., Ederra, I., Beruete, M., Gonzalo, R., Iriarte, J. C. (2023) Moisture content estimation models of flour matrices in the 67-110 GHz frequency range using a nondestructive and contactless monitoring system. IEEE Transactions on Instrumentation and Measurement, 73, 1-9. https://doi.org/10.1109/TIM.2023.3334358. | en |
dc.identifier.issn | 0018-9456 | |
dc.identifier.uri | https://hdl.handle.net/2454/47397 | |
dc.description.abstract | This work addresses the lack of moisture content estimation models for food products in the millimeter-wave frequency range and showcases the potential of this range for designing compact, cost-effective, and in-line food moisture sensors. The moisture content estimation models developed in this study are intended for flour-based mixtures in the 67-110 GHz frequency range and are derived by means of a nondestructive and contactless monitoring system. To this aim, data obtained by continuous-wave (CW) vector network analyzer (VNA) spectroscopy is used to create two different models, both with a coefficient of determination ( R2 ) of 0.97. One model is based on the theoretical response obtained by means of the Looyenga effective medium theory (EMT) model, while the other is based on measured data. Both models have been experimentally validated with root mean square error (RMSE) values of 0.4% and 0.35%, respectively. These small estimation errors show the potential of this frequency range to design compact, cost-effective, and in-line food moisture sensors. This research contributes to improving quality control and monitoring of moisture levels in flour-based mixtures. | en |
dc.description.sponsorship | This work was supported in part by the Spanish State Research Agency under Project PID2019-109984RBC43/AEI/10.13039/501100011033 and in part by the Government of Navarra through the Project IAFOOD under Grant 0011-1411-2020-000024. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | IEEE | en |
dc.relation.ispartof | IEEE Transactions on Instrumentation and Measurement vol. 73, 2024 | en |
dc.rights | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. | en |
dc.subject | Food products | en |
dc.subject | Millimeter wave technology | en |
dc.subject | Modeling | en |
dc.subject | Moisture measurement | en |
dc.subject | Nondestructive testing | en |
dc.subject | Permittivity | en |
dc.subject | Scattering parameters | en |
dc.subject | Spectroscopy | en |
dc.title | Moisture content estimation models of flour matrices in the 67-110 GHz frequency range using a nondestructive and contactless monitoring system | en |
dc.type | Artículo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.date.updated | 2024-02-09T08:53:07Z | |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.doi | 10.1109/TIM.2023.3334358 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109984RB-C43/ES/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1411-2020-000024 | en |
dc.relation.publisherversion | https://doi.org/10.1109/TIM.2023.3334358 | |
dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |