Prediction of Physical Properties of Yeast Cell Suspensions using Dielectric Spectroscopy

dc.contributor.author	Currie, David J.
dc.contributor.author	Lee, Mark
dc.contributor.author	Todd, R. W.
dc.date.accessioned	2008-01-25T11:52:59Z
dc.date.available	2008-01-25T11:52:59Z
dc.date.issued	2006
dc.identifier.citation	Currie , D J , Lee , M & Todd , R W 2006 , ' Prediction of Physical Properties of Yeast Cell Suspensions using Dielectric Spectroscopy ' Paper presented at 2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena , Kansas City , United States , 15/10/06 - 18/10/06 , pp. 672-675 .	en
dc.identifier.citation	conference	en
dc.identifier.other	PURE: 75362
dc.identifier.other	dspace: 2160/481
dc.identifier.uri	http://hdl.handle.net/2160/481
dc.description	D.J. Currie, M.H. Lee and R.W. Todd, 'Prediction of Physical Properties of Yeast Cell Suspensions using Dielectric Spectroscopy', Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP 2006), Annual Report, pp 672 – 675, October 15th -18th 2006, Kansas City, Missouri, USA. Organised by IEEE Dielectrics and Electrical Insulation Society.	en
dc.description.abstract	This work concerns the modelling of the dielectric properties of biological cell suspensions. The relative permittivity of a suspension is proportional to the volume fraction of suspended cells but it would be more useful to know the average cell radius and number density separately. A non-linear least squares algorithm, based on the Levenberg-Marquardt technique, has been developed to predict these industrially important cell features using a simple spherical shell model along with the Cole-Cole equation. A new RC circuit model of a typical cell has also been developed to try to explain the electrical properties of a cell suspension.	en
dc.language.iso	eng
dc.relation.ispartof		en
dc.title	Prediction of Physical Properties of Yeast Cell Suspensions using Dielectric Spectroscopy	en
dc.type	Text	en
dc.type.publicationtype	Conference paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/CEIDP.2006.312021
dc.contributor.institution	Department of Computer Science	en
dc.contributor.institution	Advanced Reasoning Group	en
dc.description.status	Non peer reviewed	en