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Analysis and discrimination of single-layer white architectural paint samples.
Diana M Wright1, Maureen J Bradley, Andria Hobbs Mehltretter
1Federal Bureau of Investigation, Laboratory Division, 2501 Investigation Parkway, Quantico, VA, 22135.
Journal of Forensic Sciences
|March 16, 2013
Summary
Forensic analysis of white architectural paints achieved 99.35% discrimination using multiple techniques. Fourier transform infrared spectroscopy (FTIR) and pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) enhanced paint sample differentiation.
Area of Science:
- Forensic Science
- Materials Science
- Analytical Chemistry
Background:
- Architectural paints are common in forensic investigations.
- Differentiating single-layer white paints presents analytical challenges.
- Standardized methods are needed for reliable paint comparison.
Purpose of the Study:
- To evaluate the discrimination power of various analytical techniques for single-layer white architectural paints.
- To establish a basis for assessing the significance of paint matches.
- To determine the effectiveness of combined analytical methods in forensic casework.
Main Methods:
- Fourier transform infrared spectroscopy (FTIR)
- Stereomicroscopy
- Scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS) and backscatter electron (BSE) imaging
- Pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS)
Main Results:
- Initial FTIR analysis yielded 94.45% discrimination among 50 white architectural paint samples.
- Combining FTIR with stereomicroscopy, SEM-EDS/BSE, and Py-GC/MS increased discrimination to 99.35%.
- Blind verification replicates identified the only truly undifferentiable pairs, highlighting subtle differences detected by individual methods.
Conclusions:
- A multi-technique approach significantly enhances the discrimination power for single-layer white architectural paints.
- The applied methods are suitable for forensic science laboratories.
- This study provides a robust framework for paint evidence analysis and significance assessment.

