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Study on Identification of Cashmere and Wool Using Near Infrared Spectroscopy

Author: LvDan
Tutor: ZhaoGuo
School: Beijing Institute of Clothing Technology
Course: Materials Science
Keywords: Near Infrared Spectroscopy Cashmere Wool Qualitative Quantitative Partial least squares
CLC: TS131
Type: Master's thesis
Year: 2010
Downloads: 122
Quote: 0
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Abstract


The composition of cashmere and wool identify its content detection has been a major problem in the field of textile and apparel. The traditional identification methods were observed by the projection microscope, the method of testing personnel experience demanding and time-consuming and labor-intensive, and there is experimental error. Recent years, with the development of of chemometrics and computer technology, near-infrared spectroscopy (NIRS) as a simple, rapid, non-destructive analytical methods, more and more widely used in the rapid identification of different fiber materials. However, since the cashmere and wool having the same chemical structure and a similar shape and morphology, resulting in so far the use of NIR on the identification of the two fibers is not satisfactory. Therefore, to make use of the NIR Identification of cashmere and wool has important theoretical and practical significance. The use of near-infrared spectroscopy undyed cashmere, wool fiber samples of different types, qualitative identification. Principal component space remaining variance method to establish the the qualitative identification model of cashmere, wool, and unknown samples were predicted; cashmere - mixed wool fiber samples using near infrared spectroscopy quantitative analysis of different spectral pretreatment method and regression methods compare to elect the best way to establish the optimal quantitative analysis model, to predict the unknown sample composition; using near-infrared spectroscopy and wool blend fabrics dyed cashmere - explore the sample color near-infrared quantitative analysis, preliminary quantitative analysis model for the accurate prediction of the near-infrared. The research results show that the use of near-infrared spectroscopy to establish undyed cashmere, wool qualitative identification model enables accurate identification of different origin, different types of cashmere, wool, its accuracy rate of 100%; establish cashmere - wool quantitative analysis model, by comparing a variety of modeling methods to determine the Savitzky-Golay smoothing spectral pretreatment method Cashmere - Wool and partial least squares regression combining method, the near-infrared quantitative analysis model, the correlation coefficient ( R2) of 0.9976, the predicted value and the true value of the absolute error is less than 1.5, the model can be fast and accurate detection of undyed cashmere - the mixed wool fiber composition and content; Near Infrared Spectroscopy dyed cashmere - wool blend fabric quantitative analysis of the study showed that the samples fade and can not be weakened staining near infrared spectroscopy, while by comparative modeling band, select the best band and the establishment of the quantitative analysis model of the fabric, can make it The standard error of prediction (SEP) of 3.56, the model can be more accurate predictions of the composition of colored fabrics, in order to achieve the near-infrared spectroscopy colored cashmere - wool blend fabric for rapid quantitative analysis.

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CLC: > Industrial Technology > Light industry,handicrafts > Textile industry,dyeing and finishing industry > Wool Textile > Basic science
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