Prediction models for shape and size of ca-alginate macrobeads produced through extrusion–dripping method

The shape diagram reveals a clear operating region and the process limits within which spherical ca-alginate beads could be formed. The aim of this work was to develop prediction models for shape and size of ca-alginate macrobeads produced through extrusion–dripping method. The relationship between...

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Bibliographic Details
Published in:Journal of colloid and interface science 2009-10, Vol.338 (1), p.63-72
Main Authors: Chan, Eng-Seng, Lee, Boon-Beng, Ravindra, Pogaku, Poncelet, Denis
Format: Article
Language:English
Subjects:
Alginate
Bead
Beads
Chemistry
Colloidal state and disperse state
Correlation
Drop
Drop size
Encapsulation
Exact sciences and technology
Extrusion
General and physical chemistry
Image analysis
Liquids
Mathematical analysis
Mathematical models
Shape
Size
Surface physical chemistry
Three phase
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Summary:The shape diagram reveals a clear operating region and the process limits within which spherical ca-alginate beads could be formed. The aim of this work was to develop prediction models for shape and size of ca-alginate macrobeads produced through extrusion–dripping method. The relationship between the process variables on the shape and size of the alginate drops before and after gelation was established with the aid of image analysis. The results show that a critical Ohnersorge number ( Oh) > 0.24 was required to form spherical beads. The shape transition of ca-alginate beads could be typically distinguished into three phases along the collecting distance and it was affected by the combined influence of the solution properties, the collecting distance and the drop size. Mathematical equations and a master shape diagram were developed to reveal a clear operating region and the overall process limits within which spherical ca-alginate beads could be formed. In terms of bead size, the overall size correction factor ( K) which accounted for the liquid loss factor ( k LF ) and the shrinkage factor ( k SF ), varied between 0.73 and 0.85 under the experimental conditions. The size prediction model correlated well with the experimental data. The approach and the outcome could be used as a model to develop prediction tools for similar bead production systems.
ISSN:0021-9797
1095-7103
DOI:10.1016/j.jcis.2009.05.027