Literature DB >> 20666417

Revealing the size, conformation, and shape of casein micelles and aggregates with asymmetrical flow field-flow fractionation and multiangle light scattering.

Maria Glantz1, Andreas Håkansson, Helena Lindmark Månsson, Marie Paulsson, Lars Nilsson.   

Abstract

Casein (CN) micelles are naturally occurring colloidal protein aggregates present in a dispersed state in milk. In this paper we aim to obtain a detailed description of physicochemical properties of CN micelles over the entire size distribution using asymmetrical flow field-flow fractionation (AsFlFFF) connected to multiangle light scattering (MALS) and refractive index (RI) detection. Conclusions are drawn on the colloidal level regarding shape and conformation by comparison with models of colloidal particles. By using AsFlFFF-MALS-RI, it is concluded that the CN micelles are highly polydisperse with an average rms radius and hydrodynamic radius of 177 and 116 nm, respectively. The results show that the majority of CN micelles have a spherical shape, whereas a low concentration exists of larger and elongated aggregates. By comparison with models of aggregates of colloidal particles, the aggregates are shown to be anisotropic, e.g., aggregating linearly (threadlike) or in a sheet, rather than forming randomly spherical clusters. The results show that the characterization of colloidal dispersions with AsFlFFF-MALS-RI and the comparison with theoretical models are of a general character and, thus, of fundamental importance for colloidal dispersions.

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Year:  2010        PMID: 20666417     DOI: 10.1021/la101892x

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  3 in total

1.  A quantitative calcium phosphate nanocluster model of the casein micelle: the average size, size distribution and surface properties.

Authors:  Carl Holt
Journal:  Eur Biophys J       Date:  2021-04-18       Impact factor: 1.733

2.  Fractionation of Nanoparticle Matter in Red Wines Using Asymmetrical Flow Field-Flow Fractionation.

Authors:  Daniel E Osorio-Macías; Dongsup Song; Johan Thuvander; Raúl Ferrer-Gallego; Jaeyeong Choi; J Mauricio Peñarrieta; Lars Nilsson; Seungho Lee; Björn Bergenståhl
Journal:  J Agric Food Chem       Date:  2020-11-25       Impact factor: 5.279

3.  Revisiting the dynamics of proteins during milk powder hydration using asymmetric flow field-flow fractionation (AF4).

Authors:  Anouk Lie-Piang; Mats Leeman; Alejandra Castro; Erik Börjesson; Lars Nilsson
Journal:  Curr Res Food Sci       Date:  2021-02-23
  3 in total

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