JOURNAL ARTICLE

Forensic Applications of Infrared Chemical Imaging: Multi-Layered Paint Chips

Kian FlynnRosemary O’LearyChris LennardClaude RouxBrian Reedy

Year: 2005 Journal:   Journal of Forensic Sciences Vol: 50 (4)Pages: JFS2004502-10   Publisher: Wiley

Abstract

Abstract This paper examines the potential of infrared chemical (hyperspectral) imaging as a technique for the forensic analysis of automotive paint chips in particular, and multicomponent (e.g., layered) samples in general. Improved sample preparation procedures for the infrared analysis of paint chips are detailed, with the recommendation that where mounting resins are chemically incompatible with the sample, it is better to mount and section the sample in a soft wax from which the sections can be removed and pressed into a KBr disk for transmission analysis. Infrared chemical images of multilayered paint chips have been successfully obtained, with the chief advantage over conventional infrared analysis being that thousands of infrared spectra are collected in a few minutes across the whole sample, at a spatial resolution of around 5 µm. As with conventional infrared spectroscopy, chemical species can be identified from their spectra, but the wealth of information available can be also extracted in a number of different ways that make multicomponent spectral (and hence chemical) comparisons between two samples easy to visualize and understand. In one approach, the infrared chemical images of two paint chips being compared side-by-side can be viewed as a “movie,” in which each frame is an intensity map of the two samples at a given wavenumber (frequency) value. In another approach, the spectra (pixels) in the image files are classified into chemically similar groups, resulting in a “cluster” image that makes it possible to simultaneously compare all of the layers in two paint chips. These methods are applicable to other multicomponent samples, and also to other chemical imaging techniques

Keywords:
Infrared Materials science Nanotechnology Forensic engineering Engineering Optics Physics

Metrics

66
Cited By
8.46
FWCI (Field Weighted Citation Impact)
43
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Forensic Fingerprint Detection Methods
Social Sciences →  Social Sciences →  Safety Research
Currency Recognition and Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Chemical Sensor Technologies
Physical Sciences →  Engineering →  Biomedical Engineering

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