Differentiation of aged fibers by Raman spectroscopy and multivariate data analysis

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. [Display omitted] •Raman spectroscopy as valuable tool for the analysis of aged fibers.•Use of multivariate data analysis for discriminating aged and colored fibers.•Possible discrimination of textiles produced using similar dye formulations.•Useful method for forensic investigations.