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dc.creatorPomilio, Alicia Beatriz-
dc.creatorDuchowicz, Pablo Román-
dc.creatorGiraudo, Miguel Angel Domingo-
dc.creatorCastro, Eduardo Alberto-
dc.date2019-01-07T19:13:05Z-
dc.date2019-01-07T19:13:05Z-
dc.date2010-05-
dc.date2019-01-07T13:35:20Z-
dc.date.accessioned2019-04-29T15:54:14Z-
dc.date.available2019-04-29T15:54:14Z-
dc.date.issued2010-05-
dc.identifierPomilio, Alicia Beatriz; Duchowicz, Pablo Román; Giraudo, Miguel Angel Domingo; Castro, Eduardo Alberto; Amino acid profiles and quantitative structure-property relationships for malts and beers; Elsevier Science; Food Research International; 43; 4; 5-2010; 965-971-
dc.identifier0963-9969-
dc.identifierhttp://hdl.handle.net/11336/67588-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/305070-
dc.descriptionExperimental amino acid concentrations of blonde and black commercial beers, brewed in Argentina, as well as national malts were subjected for the first time to Quantitative Structure-Property Relationships (QSPRs). Thus, Dragon theoretical descriptors were derived for a set of optimised amino acid structures with the purpose of assessing QSPR models. We used the statistical Replacement Method for designing the best multi-parametric linear regression models, which included structural features selected from a pool containing 1497 constitutional-, topological-, geometrical-, and electronic-type molecular descriptors. In this work QSPR results were in good agreement with experimental amino acid profiles, thus demonstrating the predictive power of the designed QSPRs. QSPR-modelling was used to predict aminograms, and was also used to estimate non-available amino acid concentrations for these malts, and beers. The developed QSPR approach showed to be an useful tool for discriminating among blonde and dark beers, and malts. This is a new application of the QSPR theory to food, in particular to chemical biomarkers of malts and beers.-
dc.descriptionFil: Pomilio, Alicia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Programa de Radicales Libres; Argentina-
dc.descriptionFil: 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-
dc.descriptionFil: Giraudo, Miguel Angel Domingo. Universidad Nacional de Lanús; Argentina-
dc.descriptionFil: 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-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherElsevier Science-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.foodres.2010.01.006-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0963996910000244-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectAMINOGRAMS-
dc.subjectBLONDE AND BLACK BEERS-
dc.subjectMALTS-
dc.subjectMULTI-VARIABLE LINEAR REGRESSION-
dc.subjectQUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIPS-
dc.subjectREPLACEMENT METHOD-
dc.subjectOtras Ciencias Químicas-
dc.subjectCiencias Químicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleAmino acid profiles and quantitative structure-property relationships for malts and beers-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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