Fiber Optic Coupled Raman Based Detection of Hazardous Liquids Concealed in Commercial Products

Abstract

Raman spectroscopy has been widely proposed as a technique to nondestructively and noninvasively interrogate the contents of glass and plastic bottles. In this work, Raman spectroscopy is used in a concealed threat scenario where hazardous liquids have been intentionally mixed with common consumer products to mask its appearance or spectra. The hazardous liquids under consideration included the chemical warfare agent (CWA) simulant triethyl phosphate (TEP), hydrogen peroxide, and acetone as representative of toxic industrial compounds (TICs). Fiber optic coupled Raman spectroscopy (FOCRS) and partial least squares (PLS) algorithm analysis were used to quantify hydrogen peroxide in whiskey, acetone in perfume, and TEP in colored beverages. Spectral data was used to evaluate if the hazardous liquids can be successfully concealed in consumer products. Results demonstrated that FOC-RS systems were able to discriminate between nonhazardous consumer products and mixtures with hazardous materials at concentrations lower than 5%.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA557334

Entities

People

  • Hilsamar Félix-rivera
  • Leonardo Pacheco-Londoño
  • Michael L. Ramirez-cedeno
  • Natalie Gaensbauer
  • Samuel P Hernández-Rivera
  • William Ortiz-rivera

Organizations

  • University of Puerto Rico at Mayaguez

Tags

Communities of Interest

  • Air Platforms
  • Counter IED
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Chemical Warfare
  • Chemical Warfare Agents
  • Chemistry
  • Department Of Defense
  • Department Of Homeland Security
  • Detection
  • Explosives
  • Homeland Security
  • Materials
  • Military Research
  • Raman Spectra
  • Raman Spectroscopy
  • Rocket Oxidizers
  • Security
  • Spectra
  • Spectroscopy

Readers

  • Analytical Chemistry
  • Nanoscale Plasmonic Nanotechnology
  • Sensor Fusion and Tracking Systems.