Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.

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This study presents a non-invasive monitoring system combining infrared thermography and radiofrequency dielectric spectroscopy to characterize the freezing behavior of goldenberry (Physalis peruviana). The system enabled simultaneous acquisition of surface temperature profiles, internal dielectric...

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Detalles Bibliográficos
Autores: Chuquizuta Trigoso, Tony Steven, Castro, Wilson Manuel, Castro-Giraldez, Marta, Fito, Pedro Juan
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional Autónoma de Chota
Repositorio:UNACH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unach.edu.pe:20.500.14142/778
Enlace del recurso:https://repositorio.unach.edu.pe/handle/20.500.14142/778
https://doi.org/10.1016/j.ifset.2025.104134
Nivel de acceso:acceso abierto
Materia:FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING::Plant production::Agronomy
https://purl.org/pe-repo/ocde/ford#4.01.06
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dc.title.none.fl_str_mv Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
title Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
spellingShingle Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
Chuquizuta Trigoso, Tony Steven
FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING::Plant production::Agronomy
https://purl.org/pe-repo/ocde/ford#4.01.06
title_short Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
title_full Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
title_fullStr Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
title_full_unstemmed Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
title_sort Non-invasive monitoring of goldenberry freezing using infrared thermography and radiofrequency dielectric spectroscopy.
author Chuquizuta Trigoso, Tony Steven
author_facet Chuquizuta Trigoso, Tony Steven
Castro, Wilson Manuel
Castro-Giraldez, Marta
Fito, Pedro Juan
author_role author
author2 Castro, Wilson Manuel
Castro-Giraldez, Marta
Fito, Pedro Juan
author2_role author
author
author
dc.contributor.author.fl_str_mv Chuquizuta Trigoso, Tony Steven
Castro, Wilson Manuel
Castro-Giraldez, Marta
Fito, Pedro Juan
dc.subject.none.fl_str_mv FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING::Plant production::Agronomy
topic FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING::Plant production::Agronomy
https://purl.org/pe-repo/ocde/ford#4.01.06
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.06
description This study presents a non-invasive monitoring system combining infrared thermography and radiofrequency dielectric spectroscopy to characterize the freezing behavior of goldenberry (Physalis peruviana). The system enabled simultaneous acquisition of surface temperature profiles, internal dielectric responses, and emissivity changes during freezing at − 40 ◦C. Thermal imaging revealed distinct freezing stages, including subcooling, ice nucleation, and vitrification, with emissivity decreasing to 0.837 during initial dehydration and increasing to 0.951 near the glass transition (− 35.8 ◦C). Emissivity variations revealed key thermal transitions, while dielectric measurements identified α- and β-dispersions linked to ionic straight and surface tension of ice Ih formation, with relaxation frequencies decreasing progressively as freezing advanced. The integration of both techniques allowed the detection of critical phase transitions, including the onset and completion of ice crystallization, supported by differential scanning calorimetry. These findings provide insight into structural changes and water mobility in high-moisture fruits, enabling real-time assessment of freezing kinetics. The approach demonstrates significant potential for optimizing industrial freezing protocols, improving the preservation of delicate fruits by minimizing structural damage and degradation of bioactive compounds.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-09-16T17:30:26Z
dc.date.available.none.fl_str_mv 2025-09-16T17:30:26Z
dc.date.issued.fl_str_mv 2025-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.ifset.2025.104134
url https://repositorio.unach.edu.pe/handle/20.500.14142/778
https://doi.org/10.1016/j.ifset.2025.104134
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Innovative Food Science and Emerging Technologies
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dc.publisher.none.fl_str_mv Elsevier
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spelling Chuquizuta Trigoso, Tony StevenCastro, Wilson ManuelCastro-Giraldez, MartaFito, Pedro Juan2025-09-16T17:30:26Z2025-09-16T17:30:26Z2025-07https://repositorio.unach.edu.pe/handle/20.500.14142/778https://doi.org/10.1016/j.ifset.2025.104134This study presents a non-invasive monitoring system combining infrared thermography and radiofrequency dielectric spectroscopy to characterize the freezing behavior of goldenberry (Physalis peruviana). The system enabled simultaneous acquisition of surface temperature profiles, internal dielectric responses, and emissivity changes during freezing at − 40 ◦C. Thermal imaging revealed distinct freezing stages, including subcooling, ice nucleation, and vitrification, with emissivity decreasing to 0.837 during initial dehydration and increasing to 0.951 near the glass transition (− 35.8 ◦C). Emissivity variations revealed key thermal transitions, while dielectric measurements identified α- and β-dispersions linked to ionic straight and surface tension of ice Ih formation, with relaxation frequencies decreasing progressively as freezing advanced. The integration of both techniques allowed the detection of critical phase transitions, including the onset and completion of ice crystallization, supported by differential scanning calorimetry. These findings provide insight into structural changes and water mobility in high-moisture fruits, enabling real-time assessment of freezing kinetics. 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