Technical Transfer Report on a TNT Enzyluminescent Vapor Detection System

Abstract

This report describes the historical breadboard effort with enzyluminescent 2,4,6-trinitrotoluene (TNT) vapor detection system. The system comprises a sample train, vapor generator, and luminescence detector using a TNT reductase enzyme. This breadboard system is the culmination of a long-term effort evolving from several programs that examined the TNT enzyluminescent and bioluminescent response of marine bacteria, antibodies, and enzymes under BRDEC auspices. This program was suspended by BRDEC because its slow reaction time (total more than 22-minutes sampling and detection time with a 0.25 part per trillion (ppt) TNT-in-air lower detection limit) and therefore cannot be used for mine detectors. This report discusses an engineering design analysis that was performed for a new configuration of an enzyluminescent TNT vapor detection system that utilizes an integrated sample-reactor module to provide an estimated TNT rate-of-response of less than 60 seconds and a 0.0025 ppt minimum detectable concentration. This improvement can be of significant value in noncountermine applications. The most feasible and adaptable current application for the conceptual system is that of enclosure monitoring (building, room, etc.) for the presence of TNT vapors. The report describes system operation and use is examined in these applications.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1991
Accession Number
ADA233444

Entities

People

  • Divyakant L. Patel
  • Elaine M. Jappinga

Tags

Communities of Interest

  • Biomedical
  • Counter IED
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Synthesis
  • Chemistry
  • Detection
  • Detectors
  • Equine Encephalitis
  • Explosives
  • Explosives Detection
  • Fluids
  • Gas Flow
  • Health Services
  • Identification Systems
  • Mass Transfer
  • Medical Personnel
  • Mixing
  • Organic Chemistry
  • Plastic Explosives
  • Warning Systems

Readers

  • Agricultural Chemistry/Soil Science
  • Software Engineering