A portable cell-based optical detection device for rapid detection of Listeria and Bacillus toxins

Pratik Banerjee, Padmapriya P. Banada, Jenna L. Rickus, Mark T. Morgan, Arun K. Bhunia

Research output: Contribution to journalConference articlepeer-review

Abstract

A mammalian cell-based optical biosensor was built to detect pathogenic Listeria and Bacillus species. This sensor measures the ability of the pathogens to infect and induce cytotoxicity on hybrid lymphocyte cell line (Ped-2E9) resulting in the release of alkaline phosphatase (ALP) that can be detected optically using a portable spectrophotometer. The Ped-2E9 cells were encapsulated in collagen gel matrices and grown in 48-well plates or in specially designed filtration tube units. Toxin preparations or bacterial cells were introduced and ALP release was assayed after 3-5 h. Pathogenic L. monocytogenes strains or the listeriolysin toxins preparation showed cytotoxicity ranging from 55% 92%. Toxin preparations (∼20 πg/ml) from B. cereus strains showed 24 - 98% cytotoxicity. In contrast, a non-pathogenic L. innocua (F4247) and a B. substilis induced only 2% and 8% cytotoxicity, respectively. This cell-based detection device demonstrates its ability to detect the presence of pathogenic Listeria and Bacillus species and can potentially be used onsite for food safety or in biosecurity application.

Original languageEnglish (US)
Article number599602
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5996
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
EventOptical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality - Boston, MA, United States
Duration: Oct 23 2005Oct 24 2005

Keywords

  • Bacillus
  • Cell-based sensor
  • Collagen
  • Cytotoxicity assay
  • Listeria
  • Optical sensor
  • Ped-2E9 hybridoma cells
  • Toxin

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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