Forensic Classification of Polyester Fibers by Infrared Dichroic Ratio Pattern Recognition

    Volume 44, Issue 2 (March 1999)

    ISSN: 0022-1198

    CODEN: JFSOAD

    Page Count: 9


    Wetzel, DL
    Ph.D. student and professor, Kansas State University, Microbeam Molecular Spectroscopy Laboratory, Manhattan, KS

    Reffner, JA
    Spectra-Tech Inc., Shelton, CT

    Cho, L
    Ph.D. student and professor, Kansas State University, Microbeam Molecular Spectroscopy Laboratory, Manhattan, KS

    (Received 19 November 1997; accepted 6 July 1998)

    Abstract

    Using a statistical analysis of infrared dichroic ratio data and fiber morphology, 32 polyester fiber samples were classified into 22 unique individual fiber groups and five paired fiber groups. This classification was based on discriminant analysis of infrared dichroic spectra, differences in fiber diameters, and variations in cross-sectional shapes. Using only the infrared dichroic data, the fibers were sorted systematically into 13 infrared groups. A model for discriminant analysis was derived and tested using 2640 infrared dichroic ratios calculated from 5280 quantitative absorbance measurements from single fiber spectra. A tentative protocol is recommended for fiber sorting. The 32 different polyester fibers that were analyzed represented five U.S. manufacturers. Because polyester fibers are the most common synthetic fibers, differentiating single fibers is important in comparisons of forensic trace evidence.


    Paper ID: JFS14453J

    DOI: 10.1520/JFS14453J

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    Title Forensic Classification of Polyester Fibers by Infrared Dichroic Ratio Pattern Recognition
    Symposium , 0000-00-00
    Committee E30