APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO CLASSIFY TEXTILE FIBERS BASED ON UV-VIS DIFFUSE REFLECTANCE SPECTROSCOPY
Abstract
This study provides a new approach to the classification of textile fibers by using principal component analysis (PCA), based on UV-Vis diffuse reflectance spectroscopy (UV-Vis DRS). Different natural and synthetic fibers such as cotton, wool, silk, linen, viscose, and polyester were used. The spectrum of each kind of fiber was scanned by a spectrometer equipped with an integrating sphere. The characteristics of their UV-Vis diffuse reflectance spectra were analyzed. PCA revealed that the first three components represented 99.17% of the total variability in the ultraviolet region. Principal component score scatter plot (PC1×PC2) of each fiber indicated the accuracy of this classification for these six varieties of fibers. Therefore, it was demonstrated that UV diffuse reflectance spectroscopy can be used as a novel approach to rapid, real-time, fiber identification.
About the Authors
C. . Wang
College of Materials and Textiles, Zhejiang Sci-Tech University
Russian Federation
Russian Federation
Q. . Chen
College of Materials and Textiles, Zhejiang Sci-Tech University
Russian Federation
Russian Federation
M. . Hussain
College of Materials and Textiles, Zhejiang Sci-Tech University
Russian Federation
Russian Federation
S. . Wu
Tongxiang Weithai Textile Co., Ltd
Russian Federation
Russian Federation
J. . Chen
Tongxiang Weithai Textile Co., Ltd
Russian Federation
Russian Federation
Z. . Tang
Zhejiang Sci-Tech University
Russian Federation
Russian Federation
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Review
For citations:
Wang C., Chen Q., Hussain M., Wu S., Chen J., Tang Z. APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO CLASSIFY TEXTILE FIBERS BASED ON UV-VIS DIFFUSE REFLECTANCE SPECTROSCOPY. Zhurnal Prikladnoii Spektroskopii. 2017;84(3):368-372. (In Russ.)
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