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NCJRS Abstract


The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

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NCJ Number: NCJ 237839   Add to Shopping cart   Find in a Library
Title: Application of Laser-Induced Breakdown Spectroscopy to Forensic Science: Analysis of Paint Samples
Author(s): Michael E. Sigman, Ph.D. ; Erin M. McIntee, M.S. ; Candice Bridge, Ph.D.
Date Published: 02/2012
Page Count: 84
Sponsoring Agency: National Institute of Justice
US Dept Justice
Office of Justice Programs
United States
Grant Number: 2006-DN-BX-K251
Sale Source: National Institute of Justice/NCJRS
Box 6000
Rockville, MD 20849
United States

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States
Document: PDF 
Agency Summary: Agency Summary 
Dataset: Dataset archived in the National Archive of Criminal Justice Data (http://www.icpsr.umich.edu/NACJD)
Type: Studies/research reports
Language: English
Country: United States
Annotation: This research examined the application of laser induced breakdown spectroscopy (LIBS) as an inexpensive and rapid analytical method for the characterization of the elemental composition of automotive paint samples in order to discriminate between two samples at a known level of statistical significance.
Abstract: The study determined that LIBS had a discrimination power of 90 percent (10 percent Type II errors) at a verified 5-percent Type I error rate. Discrimination was found to be slightly lower (86.6 percent) among the white color group. Variations in the LIBS signal over time led to same-sample discriminations and an artificially high Type I error rate, which was overcome through attention to the sampling protocol and confining spectra-collection on samples that were to be compared to a narrow time window. Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) gave the best sample discrimination (100 percent); X-ray fluorescence (XRF) and scanning electron microscopy/energy dispersive X-ray spectroscopy (SEM/EDS) gave the lowest discriminations (85 percent and 73 percent total discrimination for each method, respectively). Study results suggest that LIBS may provide an important screening tool in the analysis of automotive paint samples; however, careful attention should be given to sampling protocols and the statistical comparison of samples. In cases where two samples cannot be distinguished, a more accurate comparison should be used. All discriminations were performed by hypothesis-testing at the alpha = 0.05 significance level, using both parametric and nonparametric statistical tests. Discrimination was tested across all paint samples, irrespective of paint color or other features. In a more forensically relevant fashion, discrimination was determined for only those samples of the same color group, number of paint layers, and the presence or absence of effect pigments in the paints. A total of 200 paint samples were examined by the different analytical methods. 35 tables, 7 figures, 73 references, and a listing of publications and presentations of this research
Main Term(s): Police policies and procedures
Index Term(s): Spectroscopy ; Paint analysis ; Forensic sciences ; Investigative techniques ; NIJ final report
 
To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=259871

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.


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