%0 Journal Article
%T Near-Infrared Spectroscopy for Anticounterfeiting Innovative Fibers
%A Jing Cao
%A Suraj Sharma
%J ISRN Textiles
%D 2013
%R 10.1155/2013/649407
%X 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. 1. Introduction Recently, near-infrared (NIR) spectroscopy has gained increased attention for the qualitative and quantitative evaluation of textile and polymer products. The NIR spectroscopy region extends from approximately 800£¿nm to 2500£¿nm in the electromagnetic spectrum. Different materials absorb NIR energy at different wavelengths. When radiation is absorbed, NIR spectroscopy measures overtones and combinations of the fundamental molecular vibrational transitions that occur in the mid-infrared region. These absorbance wavelengths (and the corresponding frequencies) form a unique NIR signature depending on the chemical and physical properties of the materials. This method is nondestructive and environmentally friendly. Over the past decades, NIR spectroscopy has become a widely used analytical technique for process control, for quality assessment, and for determining the unknowns of complex mixture [1]. NIR analysis is a simple, rapid, and accurate technique for studying the properties and characteristics of textile materials. Many NIR instruments have been commercialized to identify the natural and synthetic fibers, such as cotton, rayon, nylon, polyester, and poly(vinyl alcohol) [2]. Ghosh and Roy [3] used homologs of cotton to develop a calibration equation for monitoring the sugar content in cotton; Gosh and Rodgers [4] and Tincher et al. [5] investigated the heat-set temperature of nylon carpet and its heat history using NIR spectroscopy. By using advanced diagnostic statistics and computer programs, Richard et al. [6] and Jasper and Kovacs [7] demonstrated the qualitative classification of various natural and
%U http://www.hindawi.com/journals/isrn.textiles/2013/649407/