Abstract
In this work, the applicability and effectiveness of identification of natural bamboo fiber and regenerated bamboo fiber by near infrared spectroscopy are investigated. A discrimination model based on Ward’s algorithm and Hierarchical Cluster Analysis is pretreated by the first derivative and vector normalization, which can be used to distinguish natural bamboo fiber and regenerated bamboo fiber. In addition, the near infrared spectra model exhibits a high accuracy with an effective identification of the double fibers.
Highlights
Bamboo fiber, as a kind of renewable, biodegradable, low-priced and abundant cellulosic fibers, it has been widely used in textiles and clothing by virtue of their excellent performance of physics and chemistry [1,2,3,4]
Natural bamboo fibers and regenerated bamboo fiber produced by the main domestic manufacturers are collected widely, and the accurate identification of these two kinds of fibers is realized by the near infrared spectroscopy (NIR) technology in virtue of the cluster analysis model
The NIR spectra of the natural bamboo fiber and regenerated bamboo fiber measured by diffuse reflection method are shown in Figure 1A and 1B, respectively
Summary
As a kind of renewable, biodegradable, low-priced and abundant cellulosic fibers, it has been widely used in textiles and clothing by virtue of their excellent performance of physics and chemistry [1,2,3,4]. Natural bamboo fibers and regenerated bamboo fiber produced by the main domestic manufacturers are collected widely, and the accurate identification of these two kinds of fibers is realized by the near infrared spectroscopy (NIR) technology in virtue of the cluster analysis model. Bamboo Development Co., Ltd and Fujian Zhenghe Bambootextile Co., Ltd; bamboo pulp viscose fibers supplied by Jigao Chemical Fiber Co., Ltd of Hebei provinceand Suzhou Shenboo Textile Co., Ltd. Regenerated bamboo fiber (Note: fibers used for the NIR analysis are numbered in random order)
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