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    Enhancing the evidential value of textile fibres: Part 1: Development of a spectral database and evaluative comparison strategy

    265202.pdf (380.7Kb)
    Access Status
    Open access
    Authors
    Powell, R.
    Van Bronswijk, Wilhelm
    Coumbaros, J.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Powell, R. and Van Bronswijk, W. and Coumbaros, J. 2018. Enhancing the evidential value of textile fibres: Part 1: Development of a spectral database and evaluative comparison strategy. Forensic Science International. 287: pp. 54-62.
    Source Title
    Forensic Science International
    DOI
    10.1016/j.forsciint.2018.03.025
    ISSN
    0379-0738
    School
    School of Molecular and Life Sciences (MLS)
    URI
    http://hdl.handle.net/20.500.11937/67859
    Collection
    • Curtin Research Publications
    Abstract

    In numerous major crime cases undertaken at our laboratory the recovery of large numbers of fibres ( > 1000), particularly in cases with no known source, presented several challenges. These included the inability to effectively manage the data (i.e. combination of MSP spectra, microscopic characteristics, composition, etc.) and perform comparisons in an efficient manner. To address these challenges, and in response to a growing need for performing fibre comparisons, we developed a database of textile fibre microspectrophotometric (MSP) spectra. The database, designed to compare MSP spectra using a modified Pearson method of correlation, currently contains over 20,000 normalised and first derivative spectra of casework, validation and reference textile fibres. A comparison strategy for cases with a large number of questioned samples was devised, involving identification of critical fibres in the casework data set, development of preliminary fibre groups classified according to their corresponding/similar MSP spectra, and verification of the preliminary groups via brightfield and fluorescence comparison microscopy. The database has successfully been utilised for proficiency trials and casework with small questioned fibre sets. Furthermore, in a case involving a larger dataset ( > 4000 “unknown” fibres) the database assisted in the efficient classification of 156 distinct groups of interest, highlighting its utility in providing investigative leads for the identification of potential sources of the recovered fibres.

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