Identification and classification of textile fibres using ATR-FT-IR spectroscopy with chemometric methods

• Published in: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 173; pp. 175 - 181
• Main Authors: Peets, Pilleriin, Leito, Ivo, Pelt, Jaan, Vahur, Signe
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 15.02.2017
• Subjects: ATR-FT-IR spectroscopy; Classification; Discriminant analysis; Fibres; Principal component analysis; Textiles; ATR-FT-IR spectroscopy; Fibres; Discriminant analysis; Classification; Textiles; Principal component analysis
• ISSN: 1386-1425; 1873-3557
• DOI: 10.1016/j.saa.2016.09.007

The possibility of classification of single- and two-component textile materials using ATR-FT-IR spectra and chemometric methods, principal component analysis (PCA) and discriminant analysis, was assessed. Altogether 89 textile samples belonging to 26 different types (11 one- and 15 two-component textiles) were investigated. It was found that PCA classification using only two or three principal components (PCs) enables identifying different one- and two-component textiles, although with two important limitations: it was not always possible to distinguish between the cellulose-based fibres (cotton, linen and in some cases viscose) and it was only partly possible to distinguish between silk and wool. The statistical discriminant analysis can use as many PCs as there are sample classes and due to that can discriminate between single-component fibres, including viscose from linen and cotton as well as silk from wool. Besides that, in both of these cases, involving optical microscopy as an additional technique enabled unequivocal identification of the fibres. The possibilities of semi-quantitative analysis of mixed fibres (cotton-polyester, wool-polyester and wool-polyamide) with PCA were investigated and it was found that approximate quantitative composition is obtainable if for the mixed fibre sample a number of spectra are averaged in order to minimize the effect of structural inhomogeneity. For approximate content determination 25 spectra of selected two-component samples were registered for calibration and the averaged spectrum for each sample was computed. Due to the structural inhomogeneity of mixed textiles, obtaining accurate quantitative composition from real samples is not possible with ATR-FT-IR. The main problems with ATR-FT-IR-PCA classification are (1) difficulties in getting high quality spectra from some textiles (e.g. polyacrylic), (2) inhomogeneity of the textile fibres in the case of two-component fibres and (3) intrinsic similarity between the spectra of some fibres (e.g. cotton and linen). In order to test the homogeneity of mixed fibres, microscopic and IR-microspectroscopic analysis was carried out. [Display omitted] •Classification and semi-quantitative analysis of fibres by ATR-FT-IR and PCA•Differentiation of fibres by combining ATR-FT-IR with optical microscopy•Homogeneity of textiles evaluated with ATR-FT-IR microspectroscopy mapping•Collection of ATR-FT-IR spectra of pure and mixed fibres