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ISRN TextilesVolume 2013 2013, Article ID 649407, 4 pages

Research ArticleDepartment of Textiles, Merchandising and Interiors, University of Georgia, 350 Dawson Hall, Athens, GA 30602, USA

Received 30 April 2013; Accepted 6 June 2013

Academic Editors: G. Schoukens and C. Wang

Copyright © 2013 Jing Cao and Suraj Sharma. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Near-infrared NIR spectroscopy has gained increased attention for the qualitative and quantitative evaluation of textile and polymer products. Many NIR instruments have been commercialized to identify the natural and synthetic fibers; however, there is a strong need to have NIR database of these high-performance fibers to detect contraband textile materials rapidly and quantitatively. In this study, NIR spectra of PLA, Kevlar, Spandex and Sorona woven fabrics were collected and studied by several calibration models to identify the fibers. The results indicated that these four innovative fibers had been successfully distinguished by their NIR spectra in combination with preprocessing of 1-X transformation, SNV, and 2nd Savitzky-Golay derivative as well as principal-component-analysis PCA- based chemometric methods. Our promising results suggest that NIR spectroscopy is an effective technique to anticounterfeit innovative fibers.





Autor: Jing Cao and Suraj Sharma

Fuente: https://www.hindawi.com/



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