Abstract

In this paper, a new modeling approach for Dielectrophoresis (DEP) based particle manipulation is presented. The proposed method fulfills missing links in finite element modeling between the multiphysic simulation and the biological behavior. This technique is amongst the first steps to develop a more complex platform covering several types of manipulations such as magnetophoresis and optics. The modeling approach is based on a hybrid interface using both ANSYS and MATLAB to link the propagation of the electrical field in the micro-channel to the particle motion. ANSYS is used to simulate the electrical propagation while MATLAB interprets the results to calculate cell displacement and send the new information to ANSYS for another turn. The beta version of the proposed technique takes into account particle shape, weight and its electrical properties. First obtained results are coherent with experimental results.

Highlights

  • Microelectromechanical systems (MEMS) already have certain maturity as a technology.They emerged in the 1970s, and they are widespread amongst a variety of products and used in many home and entertainment applications

  • We describe in this paper a new modeling approach based on finite element modeling (FEM) technique to model particle motion in a flowing liquid with an applied electrical field for DEP applications

  • The obtained results from ANSYS are exported to MATLAB, and forces are applied on particles based on calculation done by ANSYS to calculate particle motion

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Summary

Introduction

Microelectromechanical systems (MEMS) already have certain maturity as a technology.They emerged in the 1970s, and they are widespread amongst a variety of products and used in many home and entertainment applications. Current smartphones and videogame controllers are two excellent examples of such products They are present in most recent cars and printers. A new branch of MEMS emerged: BioMicroelectromechanical systems (BioMEMS) [1,2,3] These devices are more oriented towards medical and biomedical applications, such as disease screening, DNA sequencing and separation and biological sample analysis. Because of their size and low cost, they can be used in patient monitoring for everyday life, such as in glucose-meters for diabetic patients, as they eradicate the necessity of costly and space-consuming medical equipment [4,5,6]

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