QSPR analyses for aminograms in food: Citrus juices and concentrates
- Autores
- Pomilio, Alicia Beatriz; Giraudo, Miguel Angel Domingo; Duchowicz, Pablo Román; Castro, Eduardo Alberto
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Dragon theoretical descriptors were derived for a set of optimised amino acid structures, with the purpose of establishing quantitative structure-property relationship (QSPR) models to predict aminograms for 100% natural fresh juices and concentrates of Navel and Valencia oranges, and Eureka lemon. We used the statistical replacement method technique for designing the best multi-parametric linear regression models, which included structural features selected from a pool containing 1497 constitutional, topological, geometrical, or electronic types of molecular descriptors. The prediction results achieved in this work were in most cases in good agreement with experimental amino acid profiles obtained in our laboratories by a validated HPLC procedure, thus demonstrating the predictive power of the designed QSPR. The developed approach is of practical value, especially when it is not possible to assign the analyte concentration with an accurate degree of certainty.
Fil: Pomilio, Alicia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Bioquímica y Medicina Molecular. Universidad de Buenos Aires. Facultad Medicina. Instituto de Bioquímica y Medicina Molecular; Argentina
Fil: Giraudo, Miguel Angel Domingo. Universidad Nacional de Lanús; Argentina
Fil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina
Fil: Castro, Eduardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina - Materia
-
Amino Acids
Aminograms
Citrus Juices And Concentrates
Eureka Lemon
Multi-Variable Linear Regression
Navel And Valencia Oranges
Qspr Theory
Replacement Method - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/67590
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QSPR analyses for aminograms in food: Citrus juices and concentratesPomilio, Alicia BeatrizGiraudo, Miguel Angel DomingoDuchowicz, Pablo RománCastro, Eduardo AlbertoAmino AcidsAminogramsCitrus Juices And ConcentratesEureka LemonMulti-Variable Linear RegressionNavel And Valencia OrangesQspr TheoryReplacement Methodhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Dragon theoretical descriptors were derived for a set of optimised amino acid structures, with the purpose of establishing quantitative structure-property relationship (QSPR) models to predict aminograms for 100% natural fresh juices and concentrates of Navel and Valencia oranges, and Eureka lemon. We used the statistical replacement method technique for designing the best multi-parametric linear regression models, which included structural features selected from a pool containing 1497 constitutional, topological, geometrical, or electronic types of molecular descriptors. The prediction results achieved in this work were in most cases in good agreement with experimental amino acid profiles obtained in our laboratories by a validated HPLC procedure, thus demonstrating the predictive power of the designed QSPR. The developed approach is of practical value, especially when it is not possible to assign the analyte concentration with an accurate degree of certainty.Fil: Pomilio, Alicia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Bioquímica y Medicina Molecular. Universidad de Buenos Aires. Facultad Medicina. Instituto de Bioquímica y Medicina Molecular; ArgentinaFil: Giraudo, Miguel Angel Domingo. Universidad Nacional de Lanús; ArgentinaFil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaFil: Castro, Eduardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; ArgentinaElsevier2010-12info: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/11336/67590Pomilio, Alicia Beatriz; Giraudo, Miguel Angel Domingo; Duchowicz, Pablo Román; Castro, Eduardo Alberto; QSPR analyses for aminograms in food: Citrus juices and concentrates; Elsevier; Food Chemistry; 123; 3; 12-2010; 917-9270308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2010.04.082info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0308814610005583info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:12Zoai:ri.conicet.gov.ar:11336/67590instacron: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:34982025-09-29 10:45:13.248CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
title |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
spellingShingle |
QSPR analyses for aminograms in food: Citrus juices and concentrates Pomilio, Alicia Beatriz Amino Acids Aminograms Citrus Juices And Concentrates Eureka Lemon Multi-Variable Linear Regression Navel And Valencia Oranges Qspr Theory Replacement Method |
title_short |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
title_full |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
title_fullStr |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
title_full_unstemmed |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
title_sort |
QSPR analyses for aminograms in food: Citrus juices and concentrates |
dc.creator.none.fl_str_mv |
Pomilio, Alicia Beatriz Giraudo, Miguel Angel Domingo Duchowicz, Pablo Román Castro, Eduardo Alberto |
author |
Pomilio, Alicia Beatriz |
author_facet |
Pomilio, Alicia Beatriz Giraudo, Miguel Angel Domingo Duchowicz, Pablo Román Castro, Eduardo Alberto |
author_role |
author |
author2 |
Giraudo, Miguel Angel Domingo Duchowicz, Pablo Román Castro, Eduardo Alberto |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Amino Acids Aminograms Citrus Juices And Concentrates Eureka Lemon Multi-Variable Linear Regression Navel And Valencia Oranges Qspr Theory Replacement Method |
topic |
Amino Acids Aminograms Citrus Juices And Concentrates Eureka Lemon Multi-Variable Linear Regression Navel And Valencia Oranges Qspr Theory Replacement Method |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Dragon theoretical descriptors were derived for a set of optimised amino acid structures, with the purpose of establishing quantitative structure-property relationship (QSPR) models to predict aminograms for 100% natural fresh juices and concentrates of Navel and Valencia oranges, and Eureka lemon. We used the statistical replacement method technique for designing the best multi-parametric linear regression models, which included structural features selected from a pool containing 1497 constitutional, topological, geometrical, or electronic types of molecular descriptors. The prediction results achieved in this work were in most cases in good agreement with experimental amino acid profiles obtained in our laboratories by a validated HPLC procedure, thus demonstrating the predictive power of the designed QSPR. The developed approach is of practical value, especially when it is not possible to assign the analyte concentration with an accurate degree of certainty. Fil: Pomilio, Alicia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Bioquímica y Medicina Molecular. Universidad de Buenos Aires. Facultad Medicina. Instituto de Bioquímica y Medicina Molecular; Argentina Fil: Giraudo, Miguel Angel Domingo. Universidad Nacional de Lanús; Argentina Fil: Duchowicz, Pablo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina Fil: Castro, Eduardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina |
description |
Dragon theoretical descriptors were derived for a set of optimised amino acid structures, with the purpose of establishing quantitative structure-property relationship (QSPR) models to predict aminograms for 100% natural fresh juices and concentrates of Navel and Valencia oranges, and Eureka lemon. We used the statistical replacement method technique for designing the best multi-parametric linear regression models, which included structural features selected from a pool containing 1497 constitutional, topological, geometrical, or electronic types of molecular descriptors. The prediction results achieved in this work were in most cases in good agreement with experimental amino acid profiles obtained in our laboratories by a validated HPLC procedure, thus demonstrating the predictive power of the designed QSPR. The developed approach is of practical value, especially when it is not possible to assign the analyte concentration with an accurate degree of certainty. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12 |
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/11336/67590 Pomilio, Alicia Beatriz; Giraudo, Miguel Angel Domingo; Duchowicz, Pablo Román; Castro, Eduardo Alberto; QSPR analyses for aminograms in food: Citrus juices and concentrates; Elsevier; Food Chemistry; 123; 3; 12-2010; 917-927 0308-8146 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/67590 |
identifier_str_mv |
Pomilio, Alicia Beatriz; Giraudo, Miguel Angel Domingo; Duchowicz, Pablo Román; Castro, Eduardo Alberto; QSPR analyses for aminograms in food: Citrus juices and concentrates; Elsevier; Food Chemistry; 123; 3; 12-2010; 917-927 0308-8146 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2010.04.082 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0308814610005583 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614491349712896 |
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13.070432 |