Treffer: Modeling and high performance simulation of electrophoretic techniques in microfluidic chips

Title:
Modeling and high performance simulation of electrophoretic techniques in microfluidic chips
Source:
Microfluidics and nanofluidics (Print). 10(1):187-198
Publisher Information:
Heidelberg: Springer, 2011.
Publication Year:
2011
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Time:
8280
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
CIMEC, INTEC (UNL-CONICET), Güemes 3450, 3000 Santa Fe, Argentina
Dpto. Fisico Matemática, FICH, UNL, Ciudad Universitaria, 3000 Santa Fe, Argentina
Fac. de Bioingenieria, UNER, Oro Verde, Argentina
ISSN:
1613-4982
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Analytical chemistry

Analytical, structural and metabolic biochemistry
Accession Number:
edscal.23831373
Database:
PASCAL Archive

Weitere Informationen

Electrophoretic separations comprise a group of analytical techniques such as capillary zone electrophoresis, isoelectric focusing, isotachophoresis, and free flow electrophoresis. These techniques have been miniaturized in the last years and now represent one of the most important applications of the lab-on-a-chip technology. A 3D and time-dependent numerical model of electrophoresis on microfluidic devices is presented. The model is based on the set of equations that governs electrical phenomena, fluid dynamics, mass transport, and chemical reactions. The relationship between the buffer characteristics (ionic strength and pH) and surface potential of channel walls is taken into consideration. Numerical calculations were performed by using PETSc-FEM, in a Python environment, employing high performance parallel computing. The method includes a set of last generation preconditioners and solvers, especially addressed to 3D microfluidic problems, which significantly improve the numerical efficiency in comparison with typical commercial software for multiphysics. In this work, after discussing two validation examples, the numerical prototyping of a microfluidic chip for two-dimensional electrophoresis is presented.