Detection and Identification of Bacteria Using Automated Biological Sample Processing With a Relational Database Management System

Abstract

The biological sample processing system (BSPS) combines sample pretreatment, protein concentration, and separation modules and was interfaced to electrospray ionization mass spectrometry (ESI-MS). Multivariate analysis software capabilities were used for automated data processing. The bacterial identification by the BSPS-MS is based on Liquid chromatography-mass spectrometry analysis of various bacterial proteins followed by their correlation with in-house database constructed from several bacteria of interest using our in-house ProMAPDB software. The identification of bacteria using ProMAPDB was validated using standard proteins analyzed by the BSPS-MS under various conditions. The results show that BSPS analysis was reproducible and sensitive at 1000 cfu/mL.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA449733

Entities

People

  • A. P. Snyder
  • Rabih E. Jabbour
  • Samir V. Deshpande

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bacteria
  • Bacterial Extracts
  • Bacterial Proteins
  • Cells
  • Database Management Systems
  • Databases
  • Detection
  • Identification
  • Liquid Chromatography
  • Mass Spectra
  • Mass Spectrometry
  • Microorganisms
  • Proteins
  • Relational Database Management Systems
  • Relational Databases
  • Spectra

Readers

  • Analytical Chemistry
  • Database Systems and Applications
  • Microbial Pathology