On May 02, 2017, the first day of the Technart 2017 conference (Bilbao, Spain) doctoral student Pilleriin Peets from UT Analytical Chemistry group made a presentation Identification and classification of textile fibres using ATR‐FT‐IR spectroscopy with chemometric methods (Photo on the left).
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).
Classification of textiles by ATR-FT-IR and principal component analysis, PCA (single-fibre model)
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.
