The presentation outlines the recent results by Pilleriin in creating the method for quick, easy and non-destructive classification and semi-quantitative analysis of textiles using ATR-FT-IR spectroscopy combined with chemometric data analysis methods.
She investigated altogether 89 individual textile materials – Wool, Silk, Cotton, Linen, Cellulose acetate, Lyocell/Tenzel, Viscose, Polyester fibre, Polyamide fibre, Polyacrylic fibre, Elastane and their different combinations – and created a discrimination/classification model using principal component analysis (Image on the right).
As a side-product of this work, a collection of ATR-FT-IR spectra of textile materials containing one or two different fibres was composed and is deposited in the Supplementary data of the paper that she recently published: P. Peets et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2017, 173, 175–181.This collection of ATR-FT-IR spectra helps to identify different kind of single- and two-component mixed textiles.
Technart conference series is a premier scientific forum dedicated to applying analytical techniques in the field of art and cultural heritage.