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.
引用
收藏
页码：807 / 810
页数：4
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