Utilisation of an embedded resonant structure to differentiate Lipomyces yeast cultures based upon lipid content and concentration

Author

Blakey, R.T. ; Mason, Alex ; Al-Shamma´a, A.I. ; Rolph, C.E. ; Bond, G.

Author_Institution

Sch. of Built Environ., Liverpool John Moores Univ., Liverpool, UK

fYear

2013

fDate

3-5 Dec. 2013

Firstpage

963

Lastpage

967

Abstract

This article proposes a method for differentiation of biological samples based upon the dielectric characteristics of the sample. Lipid accumulation within cells is significant as it serves as a marker pertaining to the metabolism and oncologic state of the cell and organism. This is accomplished through dielectric characterisation of the sample utilising circuit board based resonant structures. This paper presents a preliminary experiment using lipid accumulating yeast cultures to model lipid droplets in mammalian cells. The experiment indicated that lipid positive and negative cultures can be differentiated based upon the dielectric characteristics of the sample.

Keywords

bioelectric potentials; biological techniques; cellular biophysics; dielectric properties; intelligent sensors; microorganisms; molecular biophysics; patient diagnosis; Lipomyces yeast culture differentiation; biological sample differentiation; cellular lipid accumulation; circuit board based resonant structures; embedded resonant structure utilisation; lipid concentration; lipid content; lipid droplet model; lipid negative culture differentiation; lipid positive culture differentiation; mammalian cells; metabolism marker; oncologic state marker; organism; sample dielectric characterisation; Cancer; Cells (biology); Dielectrics; Lipidomics; Permittivity; Resonant frequency; Lipomyces; dielectric; lipid; patch; permittivity; yeast;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensing Technology (ICST), 2013 Seventh International Conference on

Conference_Location

Wellington

ISSN

2156-8065

Print_ISBN

978-1-4673-5220-8

Type

conf

DOI

10.1109/ICSensT.2013.6727792

Filename

6727792