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Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
Published on: July 25, 2014
Improvements in the vapor-time profile analysis of explosive odorants using solid-phase microextraction
Mimy Young1, Michele Schantz1, William MacCrehan1
1Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, United States.
A new method enhances explosives detection by improving the vapor-time profile analysis of headspace odors. This technique uses solid-phase microextraction (SPME) with an externally-sampled internal standard (ESIS) for more reproducible results.
Area of Science:
- Analytical Chemistry
- Forensic Science
Background:
- Characterizing the vapor-time profile of explosive headspace odors is crucial for detection.
- Previous methods using solid-phase microextraction (SPME) faced challenges with reproducibility.
Purpose of the Study:
- To develop a modified SPME approach for improved characterization of explosive headspace vapor-time profiles.
- To enhance the reproducibility of measurements for volatile compounds like 2-ethyl-1-hexanol and cyclohexanone.
Main Methods:
- Utilized solid-phase microextraction (SPME) with the introduction of an externally-sampled internal standard (ESIS).
- Employed gas chromatography/mass spectrometry (GC/MS) for analysis.
- Incorporated stable-isotope-labeled internal standards for improved accuracy.
Main Results:
- Achieved improved measurement reproducibility for 2-ethyl-1-hexanol and cyclohexanone compared to prior studies.
- Demonstrated the advantage of exposing the SPME fiber to the ESIS after analyte sampling.
- Minimized competitive loss of target analytes for high volatility compounds by using ESIS with a retracted SPME fiber, enabling longer sampling times.
Conclusions:
- The modified SPME-ESIS-GC/MS method offers enhanced reproducibility and accuracy for explosives headspace analysis.
- This approach effectively corrects for fiber variability and detector drift.
- The technique is particularly beneficial for analyzing high volatility compounds, allowing for extended sampling durations.
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