Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 69,
  • Issue 12,
  • pp. 1390-1396
  • (2015)

Enhancing Textile Fiber Identification with Detergent Fluorescence

Not Accessible

Your library or personal account may give you access

Abstract

Discovering common origins of trace evidential textile fibers can be a challenging task when fiber structure or dye composition does not provide exclusive identifying information. Introduction of new chemical species after mass production and distribution of a textile may be exploited to trace its history and identify the origin of its fibers. In this article, fluorescence microscopy is used to examine the alteration in the fluorescence spectral fingerprint of single fibers resulting from exposure to commonly used detergents that contain fluorescent whitening agents. Dyed acrylic, cotton, and nylon fibers were laundered and the spectral contribution of the detergent on single fibers was quantified and shown to reach a maximum after five sequential washes; some detergents showed statistically meaningful differences to fiber spectra after only a single wash. Principal component cluster analysis was used to determine that the spectra of laundered fibers are distinct from the spectra of dyed, unwashed cotton or nylon, but not acrylic, fibers.

PDF Article
More Like This
Photonic textile fibers

R. M. Balachandran, D. P. Pacheco, and N. M. Lawandy
Appl. Opt. 35(12) 1991-1994 (1996)

Terahertz time-domain spectroscopy for textile identification

M. Naftaly, J. F. Molloy, G. V. Lanskii, K. A. Kokh, and Yu. M. Andreev
Appl. Opt. 52(19) 4433-4437 (2013)

Determination of quantum efficiency in fluorescing turbid media

Ludovic Gustafsson Coppel, Mattias Andersson, and Per Edström
Appl. Opt. 50(17) 2784-2792 (2011)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.