Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages

Autores
Núñez, Myriam Carmen; Cossalter, Rodolfo; Garrido, D.; Calviño, Amalia Mirta
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of the present study is to develop a mathematical model devoted to analyze the Multiple Time Intensity Curve (MTIC) and to establish a statistical methodology appropriate to draw conclusions about how to vary the taste sensation perceived at successive sips during time. It was designed a software in Turbo Pascal language, MTIC.exe, running under the DOS operating system. It allows an adequate acquisition of data to assess the MTIC. To model experimental MTICs it is proposed a function I = f (t) that represents the real action of ingesting a drink. A mechanistic approach could be able to interpret all physicochemical and physiological events during sensory testing. We developed a model representative of the MTICs dependent of six parameters. It was analyzed, step by step, all the phenomena occurring while registering the curve. That is, since the judge puts the solution in his mouth, until the completion of recording after repeating four sips. A function I = f (t, a, b, k0l, vl, h) describes temporal changes in perceived sweet intensity.
Fil: Núñez, Myriam Carmen. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Cossalter, Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Garrido, D.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Calviño, Amalia Mirta. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Ciencias Biológicas. Cátedra de Fisiología Humana; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; Argentina
Materia
DYNAMIC ORAL PERCEPTION
SOFTWARE DATA ACQUISITION
SUCCESSIVE TIME-INTENSITY CURVES
TASTE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/273002
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/273002
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet BeveragesNúñez, Myriam CarmenCossalter, RodolfoGarrido, D.Calviño, Amalia MirtaDYNAMIC ORAL PERCEPTIONSOFTWARE DATA ACQUISITIONSUCCESSIVE TIME-INTENSITY CURVESTASTEhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The aim of the present study is to develop a mathematical model devoted to analyze the Multiple Time Intensity Curve (MTIC) and to establish a statistical methodology appropriate to draw conclusions about how to vary the taste sensation perceived at successive sips during time. It was designed a software in Turbo Pascal language, MTIC.exe, running under the DOS operating system. It allows an adequate acquisition of data to assess the MTIC. To model experimental MTICs it is proposed a function I = f (t) that represents the real action of ingesting a drink. A mechanistic approach could be able to interpret all physicochemical and physiological events during sensory testing. We developed a model representative of the MTICs dependent of six parameters. It was analyzed, step by step, all the phenomena occurring while registering the curve. That is, since the judge puts the solution in his mouth, until the completion of recording after repeating four sips. A function I = f (t, a, b, k0l, vl, h) describes temporal changes in perceived sweet intensity.Fil: Núñez, Myriam Carmen. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; ArgentinaFil: Cossalter, Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; ArgentinaFil: Garrido, D.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; ArgentinaFil: Calviño, Amalia Mirta. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Ciencias Biológicas. Cátedra de Fisiología Humana; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; ArgentinaMaxwell Science2012-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/273002Núñez, Myriam Carmen; Cossalter, Rodolfo; Garrido, D.; Calviño, Amalia Mirta; Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages; Maxwell Science; Research Journal of Mathematics and Statistics; 4; 4; 12-2012; 98-1082040-75052042-2024CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.maxwellsci.com/jp/abstract.php?jid=RJMS&no=263&abs=04info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:28:30Zoai:ri.conicet.gov.ar:11336/273002instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:28:31.055CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
title Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
spellingShingle Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
Núñez, Myriam Carmen
DYNAMIC ORAL PERCEPTION
SOFTWARE DATA ACQUISITION
SUCCESSIVE TIME-INTENSITY CURVES
TASTE
title_short Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
title_full Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
title_fullStr Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
title_full_unstemmed Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
title_sort Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages
dc.creator.none.fl_str_mv Núñez, Myriam Carmen
Cossalter, Rodolfo
Garrido, D.
Calviño, Amalia Mirta
author Núñez, Myriam Carmen
author_facet Núñez, Myriam Carmen
Cossalter, Rodolfo
Garrido, D.
Calviño, Amalia Mirta
author_role author
author2 Cossalter, Rodolfo
Garrido, D.
Calviño, Amalia Mirta
author2_role author
author
author
dc.subject.none.fl_str_mv DYNAMIC ORAL PERCEPTION
SOFTWARE DATA ACQUISITION
SUCCESSIVE TIME-INTENSITY CURVES
TASTE
topic DYNAMIC ORAL PERCEPTION
SOFTWARE DATA ACQUISITION
SUCCESSIVE TIME-INTENSITY CURVES
TASTE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The aim of the present study is to develop a mathematical model devoted to analyze the Multiple Time Intensity Curve (MTIC) and to establish a statistical methodology appropriate to draw conclusions about how to vary the taste sensation perceived at successive sips during time. It was designed a software in Turbo Pascal language, MTIC.exe, running under the DOS operating system. It allows an adequate acquisition of data to assess the MTIC. To model experimental MTICs it is proposed a function I = f (t) that represents the real action of ingesting a drink. A mechanistic approach could be able to interpret all physicochemical and physiological events during sensory testing. We developed a model representative of the MTICs dependent of six parameters. It was analyzed, step by step, all the phenomena occurring while registering the curve. That is, since the judge puts the solution in his mouth, until the completion of recording after repeating four sips. A function I = f (t, a, b, k0l, vl, h) describes temporal changes in perceived sweet intensity.
Fil: Núñez, Myriam Carmen. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Cossalter, Rodolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Garrido, D.. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Físico Matemática. Cátedra de Matemáticas; Argentina
Fil: Calviño, Amalia Mirta. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Ciencias Biológicas. Cátedra de Fisiología Humana; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Metabolismo del Fármaco. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Metabolismo del Fármaco; Argentina
description The aim of the present study is to develop a mathematical model devoted to analyze the Multiple Time Intensity Curve (MTIC) and to establish a statistical methodology appropriate to draw conclusions about how to vary the taste sensation perceived at successive sips during time. It was designed a software in Turbo Pascal language, MTIC.exe, running under the DOS operating system. It allows an adequate acquisition of data to assess the MTIC. To model experimental MTICs it is proposed a function I = f (t) that represents the real action of ingesting a drink. A mechanistic approach could be able to interpret all physicochemical and physiological events during sensory testing. We developed a model representative of the MTICs dependent of six parameters. It was analyzed, step by step, all the phenomena occurring while registering the curve. That is, since the judge puts the solution in his mouth, until the completion of recording after repeating four sips. A function I = f (t, a, b, k0l, vl, h) describes temporal changes in perceived sweet intensity.
publishDate 2012
dc.date.none.fl_str_mv 2012-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/273002
Núñez, Myriam Carmen; Cossalter, Rodolfo; Garrido, D.; Calviño, Amalia Mirta; Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages; Maxwell Science; Research Journal of Mathematics and Statistics; 4; 4; 12-2012; 98-108
2040-7505
2042-2024
CONICET Digital
CONICET
url http://hdl.handle.net/11336/273002
identifier_str_mv Núñez, Myriam Carmen; Cossalter, Rodolfo; Garrido, D.; Calviño, Amalia Mirta; Development of a Mathematical Model and Statistical Procedure for the Analysis of Multiple Time Intensity Curves of Sweet Beverages; Maxwell Science; Research Journal of Mathematics and Statistics; 4; 4; 12-2012; 98-108
2040-7505
2042-2024
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.maxwellsci.com/jp/abstract.php?jid=RJMS&no=263&abs=04
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Maxwell Science
publisher.none.fl_str_mv Maxwell Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083425476280320
score 13.221938

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