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Enhancing Textile Fiber Identification with Detergent Fluorescence.

Nirvani Mujumdar1, Emily C Heider, Andres D Campiglia

  • 1University of Central Florida, Department of Chemistry, P.O. Box 25000, Orlando, FL 32816-2366 USA.

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|December 10, 2015
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Summary
This summary is machine-generated.

Detergents with fluorescent whitening agents alter textile fiber fluorescence. Laundering modifies fiber spectral fingerprints, aiding in tracing fiber origins, especially for cotton and nylon. This method enhances forensic textile analysis.

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Area of Science:

  • Forensic Science
  • Materials Science
  • Analytical Chemistry

Background:

  • Identifying the origin of textile fibers is crucial in forensic investigations.
  • Traditional methods relying on fiber structure or dye composition can be insufficient.
  • Post-production chemical alterations offer potential for fiber tracing.

Purpose of the Study:

  • To investigate the use of fluorescence microscopy for analyzing detergent-induced changes in textile fibers.
  • To determine if these spectral changes can aid in tracing fiber history and origin.
  • To quantify the impact of fluorescent whitening agents in detergents on fiber spectral fingerprints.

Main Methods:

  • Fluorescence microscopy was employed to examine single textile fibers (dyed acrylic, cotton, nylon).
  • Fibers were subjected to sequential laundering with detergents containing fluorescent whitening agents.
  • Principal component cluster analysis was used to differentiate spectral fingerprints of laundered and unwashed fibers.

Main Results:

  • Detergent exposure significantly altered the fluorescence spectral fingerprint of single fibers.
  • Maximum spectral contribution from detergents was observed after five washes; significant changes occurred after one wash for some detergents.
  • Principal component cluster analysis distinguished laundered cotton and nylon fibers from their unwashed counterparts, but not acrylic fibers.

Conclusions:

  • Fluorescence microscopy, combined with principal component cluster analysis, can detect detergent-induced spectral changes in textile fibers.
  • This technique shows promise for tracing the history and origin of textile fibers, particularly cotton and nylon.
  • Further research may refine this method for broader forensic applications in textile fiber analysis.