<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance spectroscopy. It is based on the discretization of the measurement area into a square reference volume, centered between microelectrodes, and fixed impedance areas. The first one represents the sensing area, the one impacted by cell presence during measurement, and the second one, all other areas that contribute to global measured impedance. By removing these last impedances, it is possible to compare and model the electrical response of different electrodes geometries. Simulations, performed for 6 different electrodes geometries using Finite Element Method (FEM), were performed to check our assumptions. Results attest the validity of our model for cells with sizes comprised between 30 and 70% of the channel weigh. Finally, measurements performed with our microfluidic sensor show the same impedance variation distribution during the passage of calibrated beads with an error lower than 5%</p>
</abstract>

This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance spectroscopy. It is based on the discretization of the measurement area into a square reference volume, centered between microelectrodes, and fixed impedance areas. The first one represents the sensing area, the one impacted by cell presence during measurement, and the second one, all other areas that contribute to global measured impedance. By removing these last impedances, it is possible to compare and model the electrical response of different electrodes geometries. Simulations, performed for 6 different electrodes geometries using Finite Element Method (FEM), were performed to check our assumptions. Results attest the validity of our model for cells with sizes comprised between 30 and 70% of the channel weigh. Finally, measurements performed with our microfluidic sensor show the same impedance variation distribution during the passage of calibrated beads with an error lower than 5%

An Electrical Model Optimization For Single Cell Flow Impedance Spectroscopy

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"An Electrical Model Optimization For Single Cell Flow Impedance Spectroscopy"}

This paper presents an optimization of a single cell electrical model, based on Maxwell’s mixture Theory, applied to flow cytometry coupled to impedance...

An Electrical Model Optimization For Single Cell Flow Impedance Spectroscopy

Published Online: Jun 01, 2016

Page range: 526 - 536

Received: Mar 03, 2016

Accepted: Apr 09, 2016

DOI: https://doi.org/10.21307/ijssis-2017-882

Keywords
biosensor, microfluidic, modeling, impedance spectroscopy, single cell

© 2016 J. Claudel et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

An Electrical Model Optimization For Single Cell Flow Impedance Spectroscopy

Published Online: Jun 01, 2016

Page range: 526 - 536

Received: Mar 03, 2016

Accepted: Apr 09, 2016

DOI: https://doi.org/10.21307/ijssis-2017-882

Keywordsbiosensor, microfluidic, modeling, impedance spectroscopy, single cell

© 2016 J. Claudel et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
biosensor, microfluidic, modeling, impedance spectroscopy, single cell