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Talanta. 2016 Jul 1;154:467-73. doi: 10.1016/j.talanta.2016.04.013. Epub 2016 Apr 6.

Differentiation of aged fibers by Raman spectroscopy and multivariate data analysis.

Author information

1
Dipartimento di Chimica, Università degli Studi di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy. Electronic address: federica.bianchi@unipr.it.
2
Dipartimento di Chimica, Università degli Studi di Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
3
Reparto Carabinieri Investigazioni Scientifiche di Parma, Via Parco Ducale 3, 43125 Parma, Italy.

Abstract

Raman spectroscopy followed by multivariate data analysis was used to analyze cotton fibers dyed using similar formulations and submitted to different aging conditions. Spectra were collected on a commercial instrument using a near-infrared laser with a 780nm light source. Discriminant analysis allowed to correctly classify the aged fibers 100% of the time. The prediction ability of the calculated model was estimated to be 100% by the "leave-one-out" cross-validation for 3 out of the 4 series under investigation. Finally, reliability of the developed approach for the discrimination of aged vs new fibers was confirmed by the analysis of commercial polyamide and polyester textiles submitted to the same aging process.

KEYWORDS:

Aging; Discriminant analysis; Dyes; Forensic science; Raman spectroscopy; Textiles

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