Discrimination of cellulose fabrics using infrared spectroscopy and newly developed discriminant analysis

Identifying cellulose fibers in fabric products is necessary for quality control and appropriate distribution but can be difficult because of their similarities. A novel technique to identify cellulose fabrics has been developed that uses infrared spectroscopy with the attenuated total reflection (ATR) method, evaluated with an improved Fisher's discriminant analysis including regularization coefficients and orthogonal decompositions. Sequential discrimination of six different types of cellulose fibers-cotton, ramie, and linen, which are natural fibers, and rayon, cupra, and lyocell, which are regenerated fibers-was achieved using the new technique. (c) 2021 Elsevier B.V. All rights reserved.

Automated summary

Identification of cellulose fibers in fabric is crucial for quality control and distribution. A novel technique utilizing infrared spectroscopy with ATR method has been developed to accurately discriminate different types of cellulose fibers in fabric products.