Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior

Autores
Caruso, Benjamin; Maestri, Damian; Perillo, Maria Angelica
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The present work is an attempt to define how to formulate oil blends with an expected surface behavior using easily accessible data such as chemical compositions. Hence, we determined average surface properties of triglycerides (TG) from olive (O), soybean (S), and walnut (W) oils self-organized in Langmuir films alone or in pseudo-binary mixtures with phosphatidylcholines (PC). Collapse pressure (πc), compressibility modulus (K) and molecular area at the closest packing (Amin) were determined from π-mean molecular area (Mma) isotherms. The πc-composition phase diagrams of TG-PC mixtures provided information about oils solubility limit with PCs in the monolayer phase. A thermodynamic equilibrium model was fitted to the line joining points of monolayer-TGliquid phase coexistence and allowed to obtain interaction parameters, ω, which consistently with those of excess surface energy (ΔGex) and Mma deviations from ideality, contributed to describe interfacial intermolecular interactions. Oil molar fractions (xTG) for TGs-PCs self-assembling into vesicles were estimated from xTG values at πc ≅ 30 mN/m (equilibrium π of bilayers), which resulted higher in egg PC (0.15, 0.2, 0.15 for O, S and W, respectively) than in dipalmitoyl-PC (0.125, 0.075, 0.1). Principal component analysis performed on surface parameters, grouped S and W separated from O. This result was mainly influenced by variables estimating the effect of unsaturation degrees of fatty acids sterified at TGs, Amin and πc. Peanut oils surface data interpolated in πc-C16/C18 and Amin-DBI correlation lines obtained with O-S mixtures (TGmix) and with TGmix-PC supported C16/C18 ratio and DBI as predictors to formulate oil blends with selected surface behavior.
Fil: Caruso, Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
Fil: Maestri, Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
Fil: Perillo, Maria Angelica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
Materia
Chemical Composition
Monolayers
Phosphatidylcholine
Surface Parameters
Vegetable Oils
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:11336/52860
Acceder
id CONICETDig_c5d7f49ab2912e141b61507cd69316d5
oai_identifier_str oai:ri.conicet.gov.ar:11336/52860
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behaviorCaruso, BenjaminMaestri, DamianPerillo, Maria AngelicaChemical CompositionMonolayersPhosphatidylcholineSurface ParametersVegetable Oilshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The present work is an attempt to define how to formulate oil blends with an expected surface behavior using easily accessible data such as chemical compositions. Hence, we determined average surface properties of triglycerides (TG) from olive (O), soybean (S), and walnut (W) oils self-organized in Langmuir films alone or in pseudo-binary mixtures with phosphatidylcholines (PC). Collapse pressure (πc), compressibility modulus (K) and molecular area at the closest packing (Amin) were determined from π-mean molecular area (Mma) isotherms. The πc-composition phase diagrams of TG-PC mixtures provided information about oils solubility limit with PCs in the monolayer phase. A thermodynamic equilibrium model was fitted to the line joining points of monolayer-TGliquid phase coexistence and allowed to obtain interaction parameters, ω, which consistently with those of excess surface energy (ΔGex) and Mma deviations from ideality, contributed to describe interfacial intermolecular interactions. Oil molar fractions (xTG) for TGs-PCs self-assembling into vesicles were estimated from xTG values at πc ≅ 30 mN/m (equilibrium π of bilayers), which resulted higher in egg PC (0.15, 0.2, 0.15 for O, S and W, respectively) than in dipalmitoyl-PC (0.125, 0.075, 0.1). Principal component analysis performed on surface parameters, grouped S and W separated from O. This result was mainly influenced by variables estimating the effect of unsaturation degrees of fatty acids sterified at TGs, Amin and πc. Peanut oils surface data interpolated in πc-C16/C18 and Amin-DBI correlation lines obtained with O-S mixtures (TGmix) and with TGmix-PC supported C16/C18 ratio and DBI as predictors to formulate oil blends with selected surface behavior.Fil: Caruso, Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; ArgentinaFil: Maestri, Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; ArgentinaFil: Perillo, Maria Angelica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; ArgentinaElsevier Science2010-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/52860Caruso, Benjamin; Maestri, Damian; Perillo, Maria Angelica; Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior; Elsevier Science; Colloids and Surfaces B: Biointerfaces; 75; 1; 1-2010; 57-660927-7765CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0927776509003701info:eu-repo/semantics/altIdentifier/doi/10.1016/j.colsurfb.2009.08.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T11:57:22Zoai:ri.conicet.gov.ar:11336/52860instacron: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:34982025-10-29 11:57:23.242CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
title Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
spellingShingle Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
Caruso, Benjamin
Chemical Composition
Monolayers
Phosphatidylcholine
Surface Parameters
Vegetable Oils
title_short Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
title_full Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
title_fullStr Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
title_full_unstemmed Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
title_sort Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior
dc.creator.none.fl_str_mv Caruso, Benjamin
Maestri, Damian
Perillo, Maria Angelica
author Caruso, Benjamin
author_facet Caruso, Benjamin
Maestri, Damian
Perillo, Maria Angelica
author_role author
author2 Maestri, Damian
Perillo, Maria Angelica
author2_role author
author
dc.subject.none.fl_str_mv Chemical Composition
Monolayers
Phosphatidylcholine
Surface Parameters
Vegetable Oils
topic Chemical Composition
Monolayers
Phosphatidylcholine
Surface Parameters
Vegetable Oils
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The present work is an attempt to define how to formulate oil blends with an expected surface behavior using easily accessible data such as chemical compositions. Hence, we determined average surface properties of triglycerides (TG) from olive (O), soybean (S), and walnut (W) oils self-organized in Langmuir films alone or in pseudo-binary mixtures with phosphatidylcholines (PC). Collapse pressure (πc), compressibility modulus (K) and molecular area at the closest packing (Amin) were determined from π-mean molecular area (Mma) isotherms. The πc-composition phase diagrams of TG-PC mixtures provided information about oils solubility limit with PCs in the monolayer phase. A thermodynamic equilibrium model was fitted to the line joining points of monolayer-TGliquid phase coexistence and allowed to obtain interaction parameters, ω, which consistently with those of excess surface energy (ΔGex) and Mma deviations from ideality, contributed to describe interfacial intermolecular interactions. Oil molar fractions (xTG) for TGs-PCs self-assembling into vesicles were estimated from xTG values at πc ≅ 30 mN/m (equilibrium π of bilayers), which resulted higher in egg PC (0.15, 0.2, 0.15 for O, S and W, respectively) than in dipalmitoyl-PC (0.125, 0.075, 0.1). Principal component analysis performed on surface parameters, grouped S and W separated from O. This result was mainly influenced by variables estimating the effect of unsaturation degrees of fatty acids sterified at TGs, Amin and πc. Peanut oils surface data interpolated in πc-C16/C18 and Amin-DBI correlation lines obtained with O-S mixtures (TGmix) and with TGmix-PC supported C16/C18 ratio and DBI as predictors to formulate oil blends with selected surface behavior.
Fil: Caruso, Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
Fil: Maestri, Damian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
Fil: Perillo, Maria Angelica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Ciencias y Tecnología de los Alimentos; Argentina
description The present work is an attempt to define how to formulate oil blends with an expected surface behavior using easily accessible data such as chemical compositions. Hence, we determined average surface properties of triglycerides (TG) from olive (O), soybean (S), and walnut (W) oils self-organized in Langmuir films alone or in pseudo-binary mixtures with phosphatidylcholines (PC). Collapse pressure (πc), compressibility modulus (K) and molecular area at the closest packing (Amin) were determined from π-mean molecular area (Mma) isotherms. The πc-composition phase diagrams of TG-PC mixtures provided information about oils solubility limit with PCs in the monolayer phase. A thermodynamic equilibrium model was fitted to the line joining points of monolayer-TGliquid phase coexistence and allowed to obtain interaction parameters, ω, which consistently with those of excess surface energy (ΔGex) and Mma deviations from ideality, contributed to describe interfacial intermolecular interactions. Oil molar fractions (xTG) for TGs-PCs self-assembling into vesicles were estimated from xTG values at πc ≅ 30 mN/m (equilibrium π of bilayers), which resulted higher in egg PC (0.15, 0.2, 0.15 for O, S and W, respectively) than in dipalmitoyl-PC (0.125, 0.075, 0.1). Principal component analysis performed on surface parameters, grouped S and W separated from O. This result was mainly influenced by variables estimating the effect of unsaturation degrees of fatty acids sterified at TGs, Amin and πc. Peanut oils surface data interpolated in πc-C16/C18 and Amin-DBI correlation lines obtained with O-S mixtures (TGmix) and with TGmix-PC supported C16/C18 ratio and DBI as predictors to formulate oil blends with selected surface behavior.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
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/11336/52860
Caruso, Benjamin; Maestri, Damian; Perillo, Maria Angelica; Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior; Elsevier Science; Colloids and Surfaces B: Biointerfaces; 75; 1; 1-2010; 57-66
0927-7765
CONICET Digital
CONICET
url http://hdl.handle.net/11336/52860
identifier_str_mv Caruso, Benjamin; Maestri, Damian; Perillo, Maria Angelica; Phosphatidylcholine/vegetable oil pseudo-binary mixtures at the air-water interface: Predictive formulation of oil blends with selected surface behavior; Elsevier Science; Colloids and Surfaces B: Biointerfaces; 75; 1; 1-2010; 57-66
0927-7765
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.sciencedirect.com/science/article/pii/S0927776509003701
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.colsurfb.2009.08.014
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier 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_ 1847426692747886592
score 13.10058

Publicaciones similares