Current Status and Need for Standards in Ion Mobility Spectrometry

Abstract

Ion mobility spectrometry (IMS) is a well-established analytical technique that is used to protect civilians and soldiers from chemical warfare agents, explosives, and toxic industrial chemicals. IMS-based instruments are used to identify compounds of interest (COIs) based on their reduced mobility (K0) values, which are known to have an error of 2%. This relatively high degree of error leads to the use of wide detection windows, in which an interferent could cause a false-positive alarm. Accurate characterization of COIs and reference standards will decrease the width of detection windows by decreasing the degree of error propagated through the detection algorithm. The use of a suitable mobility reference standard will shift the narrower windows to their proper positions. This calibration procedure decreases the rate of false-positive alarms without increasing the rate of false-negative responses. A suitable IMS reference standard has to be selected and accurately characterized to 0.2 or better. In this review, we explore the role of reference standards in IMS technology and the criteria that should be met for them to be considered appropriate. We use these proposed criteria to examine compounds that have been previously considered or are currently being considered as suitable reference standards.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2018
Accession Number
AD1052687

Entities

People

  • Brian C Hauck
  • Charles S. Harden
  • Vincent M. Mchugh

Organizations

  • Oak Ridge Institute for Science and Education

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Chemical Synthesis
  • Chemical Warfare
  • Chemical Warfare Agents
  • Chemistry
  • Detection
  • Detectors
  • Drug Abuse
  • Electrospray Ionization
  • Ethers
  • Explosives
  • Explosives Detection
  • Mass Spectrometry
  • Measurement
  • Petn
  • Rodents
  • Spectrometry

Readers

  • Analytical Chemistry
  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.