Quantitative Analysis of Wool-Cashmere Fiber Blends Using Near Infrared Spectroscopy

被引：0
|
作者：
Lv Dan [1 ]
Zhao Guoliang [1 ]
机构：
[1] Beijing Inst Fash Technol, Sch Mat Sci & Engn, Beijing 100029, Peoples R China
来源：
PROCEEDINGS OF THE 12TH INTERNATIONAL WOOL RESEARCH CONFERENCE, VOLS I AND II | 2010年
关键词：
near-infrared spectroscopy; wool-cashmere fibre blends; quantitative analysis; savitzky-golay smoothing; partial least squares regression;
D O I：
暂无
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
摘要：
In this work, different spectral pre-treatment and regression methods were studied for the near-infrared (NIR) quantitative analysis of wool-cashmere fiber blends. Savitzky-Golay smoothing pre-treatment and partial least squares (PLS) regression were selected and the best quantitative analysis model were developed, which had good calibration parameters, coefficient of determination (R-2) of 0.9976 and standard error of calibration (SEC) of 1.2192, and an accurate prediction with standard error of prediction (SEP) of 0.6718 of wool content in the fiber blends was achieved.
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页码：807 / 810
页数：4
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