DocumentCode :
3141750
Title :
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
Link To Document :
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