Isolation and identification of Listeria monocytogenes utilizing DC insulator-based dielectrophoresis

Claire V. Crowther, Shannon Huey Hilton, La Keta Kemp, Mark Hayes

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Foodborne pathogens pose one of the greatest challenges facing public health in the modern day. One important pathogen, Listeria monocytogenes, is known to be challenging to detect and identify. Three serovars cause most of the Listeria related food-borne illnesses, which the Centers for Disease Control currently utilizes a combination of pulsed-field gel electrophoresis and whole genome sequencing for identification and the determination of clusters and outbreaks. There is a potential method for rapid collection of epidemiological information by exploiting the electrokinetic and dielectrophoretic properties of the L. monocytogenes serovars. Using dielectrophoresis, the three most commonly identified serovars of L. monocytogenes can be distinguished from each other. The electrokinetic and dielectrophoretic mobilities of each serovar was determined through a combination of electrokinetic velocity and dielectrophoretic trapping assessments, in conjunction with finite element multi-physics modeling. A mathematical model of the data, which defines the various factors of dielectrophoretic trapping, is utilized and verified based on the behavior of L. monocytogenes in the microchannel. The trapping condition for the serovars were evaluated as 2.8±0.2×10 9 , 2.2±0.2×10 9 , and 2.2±0.3×10 9 Vm −2 and the electrokinetic mobility was assessed to be 19±0.7, 17±0.7, and 9.2±0.3×10 −9 m 2 V −1 s −1 for the L. monocytogenes serovars 1/2a, 1/2b, and 4b, respectively.

Original languageEnglish (US)
JournalAnalytica Chimica Acta
DOIs
StatePublished - Jan 1 2019

Fingerprint

Listeria
Listeria monocytogenes
Pathogens
Electrophoresis
Disease control
trapping
Public health
Microchannels
Physics
pathogen
Genes
Gels
Mathematical models
disease control
public health
electrokinesis
Foodborne Diseases
physics
gel
genome

Keywords

  • Dielectrophoresis
  • Electrokinetics
  • Electrophoresis
  • Listeria
  • Microfluidics

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Environmental Chemistry
  • Spectroscopy

Cite this

Isolation and identification of Listeria monocytogenes utilizing DC insulator-based dielectrophoresis. / Crowther, Claire V.; Hilton, Shannon Huey; Kemp, La Keta; Hayes, Mark.

In: Analytica Chimica Acta, 01.01.2019.

Research output: Contribution to journalArticle

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