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    Characterisation and classification of automotive clear coats with Raman spectroscopy and chemometrics for forensic purposes

    Access Status
    Fulltext not available
    Authors
    Maric, M.
    van Bronswijk, Wilhelm
    Pitts, K.
    Lewis, Simon
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Maric, M. and van Bronswijk, W. and Pitts, K. and Lewis, S. 2016. Characterisation and classification of automotive clear coats with Raman spectroscopy and chemometrics for forensic purposes. Journal of Raman Spectroscopy. 47 (8): pp. 948-955.
    Source Title
    Journal of Raman Spectroscopy
    DOI
    10.1002/jrs.4925
    ISSN
    0377-0486
    School
    Department of Chemistry
    URI
    http://hdl.handle.net/20.500.11937/37089
    Collection
    • Curtin Research Publications
    Abstract

    The clear coats from a collection of automotive paint samples of 139 vehicles, covering a range of Australian and international vehicle manufacturers and sold in Western Australia, were characterised using FT-Raman spectroscopy. Principal component analysis (PCA) revealed 19 distinct classes that were associated with the vehicles' manufacturer and model, and in the case of Australian manufacturers, the years of manufacture. Linear discriminant analysis based on the PCA groupings gave excellent discrimination between the groups with 96.9% of the calibration set and 97.6% of the validation set being correctly classified. Although the sample set comprised only vehicles available in Australia, the methodology used is universal and hence applicable in any jurisdiction that is willing and able to generate a statistically significant data set and maintain and update it as new vehicles appear on the market. A FT-Raman spectroscopy-based database would rapidly provide information regarding vehicle origin and manufacture and hence generate investigative leads for questioned paint samples found at incident sites.

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