Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature

ABSTRACT: Respiration of cut mango (Mangifera Indica L.) cv. Tommy Atkins was studied using the closed system method at three temperatures (4, 20 and 35 °C). Two models were used to estimate the gas concentration, which were adjusted through non-lineal regression algorisms using Matlab R2011a softwa...

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Autores:
Agudelo Cuartas, Camilo
Restrepo Flórez, Claudia Estela
Zapata Montoya, José Edgar
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/23804
Acceso en línea:
http://hdl.handle.net/10495/23804
Palabra clave:
Longevidad
Longevity
Madurez
Maturity
Mango
Mangoes
Mangífera índica
Mangifera indica
http://aims.fao.org/aos/agrovoc/c_4656
http://aims.fao.org/aos/agrovoc/c_12367
http://aims.fao.org/aos/agrovoc/c_4575
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.spa.fl_str_mv Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
dc.title.translated.spa.fl_str_mv Cinética de respiración de mango (Mangifera indica L.) como función de la temperatura de almacenamiento
title Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
spellingShingle Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
Longevidad
Longevity
Madurez
Maturity
Mango
Mangoes
Mangífera índica
Mangifera indica
http://aims.fao.org/aos/agrovoc/c_4656
http://aims.fao.org/aos/agrovoc/c_12367
http://aims.fao.org/aos/agrovoc/c_4575
title_short Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
title_full Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
title_fullStr Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
title_full_unstemmed Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
title_sort Respiration kinetic of mango (Mangifera indica L.) as function of storage temperature
dc.creator.fl_str_mv Agudelo Cuartas, Camilo
Restrepo Flórez, Claudia Estela
Zapata Montoya, José Edgar
dc.contributor.author.none.fl_str_mv Agudelo Cuartas, Camilo
Restrepo Flórez, Claudia Estela
Zapata Montoya, José Edgar
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Nutrición y Tecnología de Alimentos
dc.subject.decs.none.fl_str_mv Longevidad
Longevity
topic Longevidad
Longevity
Madurez
Maturity
Mango
Mangoes
Mangífera índica
Mangifera indica
http://aims.fao.org/aos/agrovoc/c_4656
http://aims.fao.org/aos/agrovoc/c_12367
http://aims.fao.org/aos/agrovoc/c_4575
dc.subject.agrovoc.none.fl_str_mv Madurez
Maturity
Mango
Mangoes
Mangífera índica
Mangifera indica
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_4656
http://aims.fao.org/aos/agrovoc/c_12367
http://aims.fao.org/aos/agrovoc/c_4575
description ABSTRACT: Respiration of cut mango (Mangifera Indica L.) cv. Tommy Atkins was studied using the closed system method at three temperatures (4, 20 and 35 °C). Two models were used to estimate the gas concentration, which were adjusted through non-lineal regression algorisms using Matlab R2011a software. Three mathematic models, a model based on Michaelis-Menten’s enzymatic kinetics, and two models based on regression analysis, in one of which a saturation equation was included as a new proposal in this field, were set to predict the substrate respiration rate. Results made evident the positive effect of temperature on mango respiration rate. The model with the best adjustment to mango respiration rate was Michaelis-Menten’s with an adjusted correlation coefficient of 0.9811 and 0.9747 for CO2 and O2 respectively, with a relative mean error lower than 10%.
publishDate 2016
dc.date.issued.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2021-11-05T22:28:55Z
dc.date.available.none.fl_str_mv 2021-11-05T22:28:55Z
dc.type.spa.fl_str_mv Artículo de investigación
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/23804
dc.identifier.doi.none.fl_str_mv 10.15446/rfna.v69n2.59143
dc.identifier.eissn.none.fl_str_mv 2248-7026
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10.15446/rfna.v69n2.59143
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url http://hdl.handle.net/10495/23804
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Rev. Fac. Nac. Agron. Medellín
dc.relation.citationendpage.spa.fl_str_mv 7995
dc.relation.citationissue.spa.fl_str_mv 2
dc.relation.citationstartpage.spa.fl_str_mv 7985
dc.relation.citationvolume.spa.fl_str_mv 69
dc.relation.ispartofjournal.spa.fl_str_mv Revista Facultad Nacional de Agronomía Medellín
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia, Facultad de Ciencias Agrarias
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
institution Universidad de Antioquia
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spelling Agudelo Cuartas, CamiloRestrepo Flórez, Claudia EstelaZapata Montoya, José EdgarGrupo de Nutrición y Tecnología de Alimentos2021-11-05T22:28:55Z2021-11-05T22:28:55Z20160304-2847http://hdl.handle.net/10495/2380410.15446/rfna.v69n2.591432248-7026ABSTRACT: Respiration of cut mango (Mangifera Indica L.) cv. Tommy Atkins was studied using the closed system method at three temperatures (4, 20 and 35 °C). Two models were used to estimate the gas concentration, which were adjusted through non-lineal regression algorisms using Matlab R2011a software. Three mathematic models, a model based on Michaelis-Menten’s enzymatic kinetics, and two models based on regression analysis, in one of which a saturation equation was included as a new proposal in this field, were set to predict the substrate respiration rate. Results made evident the positive effect of temperature on mango respiration rate. The model with the best adjustment to mango respiration rate was Michaelis-Menten’s with an adjusted correlation coefficient of 0.9811 and 0.9747 for CO2 and O2 respectively, with a relative mean error lower than 10%.RESUMEN: Se estudió la respiración del mango cortado (Mangifera Indica L.), cv. Tommy Atkins, utilizando el método de sistema cerrado, a tres temperaturas (4, 20 y 35 °C). Se usaron dos modelos para estimar la concentración de gas, los cuales se ajustaron a través de algoritmos de regresión no lineal usando el software Matlab R2011a. Se ajustaron tres modelos matemáticos para predecir la tasa de respiración del sustrato. Un modelo basado en la cinética enzimática de Michaelis-Menten, y dos modelos basados en análisis de regresión, en uno de los cuales se incluyó una ecuación de saturación como una nueva propuesta en este campo. Los resultados evidenciaron el efecto positivo que tiene la temperatura sobre la tasa de respiración del mango. El modelo que mejor ajuste entregó para la velocidad de respiración del mango fue el modelo de Michaelis-Menten con un coeficiente de correlación ajustado de 0.9811 y 0.9747 para CO2 y O2, respectivamente, con un error medio relativo inferior al 10%.COL001077112application/pdfengUniversidad Nacional de Colombia, Facultad de Ciencias AgrariasMedellín, Colombiahttps://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Respiration kinetic of mango (Mangifera indica L.) as function of storage temperatureCinética de respiración de mango (Mangifera indica L.) como función de la temperatura de almacenamientoArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLongevidadLongevityMadurezMaturityMangoMangoesMangífera índicaMangifera indicahttp://aims.fao.org/aos/agrovoc/c_4656http://aims.fao.org/aos/agrovoc/c_12367http://aims.fao.org/aos/agrovoc/c_4575Rev. Fac. Nac. Agron. Medellín79952798569Revista Facultad Nacional de Agronomía MedellínPublicationORIGINALZapataJose_2016_RespirationKineticMangoStorageTemperature.pdfZapataJose_2016_RespirationKineticMangoStorageTemperature.pdfArtículo de investigaciónapplication/pdf431442https://bibliotecadigital.udea.edu.co/bitstreams/3d2783c0-1740-4385-973a-dbd16f671fd4/download9b9d5b2725fed74401561224d4a3c988MD51trueAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/e37a5f2c-c9b5-46d5-a520-26bd222c6eb2/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81051https://bibliotecadigital.udea.edu.co/bitstreams/9cc263be-5393-4e95-a1f2-1b230432fc11/downloade2060682c9c70d4d30c83c51448f4eedMD52falseAnonymousREADTEXTZapataJose_2016_RespirationKineticMangoStorageTemperature.pdf.txtZapataJose_2016_RespirationKineticMangoStorageTemperature.pdf.txtExtracted texttext/plain34966https://bibliotecadigital.udea.edu.co/bitstreams/a270d5a3-1949-4dfb-ac2d-64b640110aad/download8fdd8d4ecb1432a0c7eb20f940ef8833MD54falseAnonymousREADTHUMBNAILZapataJose_2016_RespirationKineticMangoStorageTemperature.pdf.jpgZapataJose_2016_RespirationKineticMangoStorageTemperature.pdf.jpgGenerated Thumbnailimage/jpeg12046https://bibliotecadigital.udea.edu.co/bitstreams/31aee784-60a7-4683-aeab-b7b5428cb3ee/downloadb3c32ee85e7aab7ef97f1319c3a5dfe4MD55falseAnonymousREAD10495/23804oai:bibliotecadigital.udea.edu.co:10495/238042025-03-27 01:32:03.908https://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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