The University of Southampton
University of Southampton Institutional Repository

Numerical determination of the effective moments of non-spherical particles

Numerical determination of the effective moments of non-spherical particles
Numerical determination of the effective moments of non-spherical particles
Dielectric characterisation of polarisable particles, and prediction of the forces and torques exerted upon them, relies on the knowledge of the effective, induced dipole moment. In turn, through the mechanism of depolarisation, the induced dipole moment of a particle is strongly dependent upon its shape. Since realistic shapes create modelling difficulties, the ‘spherical particle’ approximation is often invoked. However, in many cases, including biological dielectric spectroscopy and dielectrophoresis, this assumption is a poor one. For example, human erythrocytes are essentially oblate spheroids with indented sides, while viruses and bacteria often have elongated cigar shapes. Since shape-dependent polarisation both strongly influences the accuracy of conventional dielectric characterisation methods using Maxwell’s mixture formula and confounds accurate prediction of dielectrophoretic forces and torques, it is important to develop means to treat non-spherical particles. In this paper, we demonstrate a means to extract the dipole moment directly from numerical solutions of the induced electrostatic potential when a particle is placed in a uniform electric field. The accuracy of the method is demonstrated for a range of particle shapes: spherical, ellipsoidal, truncated cylinders and an approximation of an erythrocyte, the red blood cell.
dielectric theory, dielectrophoresis, numerical simulation
0022-3727
78-85
Green, Nicolas G
d9b47269-c426-41fd-a41d-5f4579faa581
Jones, Thomas B
3767dfd9-d5f7-4830-8899-038f9fcf00ee
Green, Nicolas G
d9b47269-c426-41fd-a41d-5f4579faa581
Jones, Thomas B
3767dfd9-d5f7-4830-8899-038f9fcf00ee

Green, Nicolas G and Jones, Thomas B (2007) Numerical determination of the effective moments of non-spherical particles. Journal of Physics D: Applied Physics, 40 (1), 78-85. (doi:10.1088/0022-3727/40/1/S12).

Record type: Article

Abstract

Dielectric characterisation of polarisable particles, and prediction of the forces and torques exerted upon them, relies on the knowledge of the effective, induced dipole moment. In turn, through the mechanism of depolarisation, the induced dipole moment of a particle is strongly dependent upon its shape. Since realistic shapes create modelling difficulties, the ‘spherical particle’ approximation is often invoked. However, in many cases, including biological dielectric spectroscopy and dielectrophoresis, this assumption is a poor one. For example, human erythrocytes are essentially oblate spheroids with indented sides, while viruses and bacteria often have elongated cigar shapes. Since shape-dependent polarisation both strongly influences the accuracy of conventional dielectric characterisation methods using Maxwell’s mixture formula and confounds accurate prediction of dielectrophoretic forces and torques, it is important to develop means to treat non-spherical particles. In this paper, we demonstrate a means to extract the dipole moment directly from numerical solutions of the induced electrostatic potential when a particle is placed in a uniform electric field. The accuracy of the method is demonstrated for a range of particle shapes: spherical, ellipsoidal, truncated cylinders and an approximation of an erythrocyte, the red blood cell.

Text
GreenJones1.pdf - Version of Record
Download (1MB)

More information

Published date: January 2007
Keywords: dielectric theory, dielectrophoresis, numerical simulation
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 263564
URI: http://eprints.soton.ac.uk/id/eprint/263564
ISSN: 0022-3727
PURE UUID: 45b73aa7-2041-404b-9f13-08fdf3c13283
ORCID for Nicolas G Green: ORCID iD orcid.org/0000-0001-9230-4455

Catalogue record

Date deposited: 19 Feb 2007
Last modified: 15 Mar 2024 03:20

Export record

Altmetrics

Contributors

Author: Nicolas G Green ORCID iD
Author: Thomas B Jones

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×