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

摘要：

In this work, different spectral pre-treatment and regression methods were studied for the near-infrared (NIR) quantitative analysis of woolcashmere 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 (R2) 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.

关键词： near-infrared spectroscopy wool-cashmere fibre blends quantitative analysis savitzky-golay smoothing partial least squares regression

作者: LV Dan ZHAO Guoliang

作者单位: School of Materials Science and Engineering, Beijing Institute of Fashion Technology, Beijing 100029,P.R.China

会议类型: 国际会议

会议名称: The 12th International Wool Research Conference(第十二届国际羊毛会议12th IWRC)

会议地点: 上海

会议语种:英文

页码: 807-810

在线出版日期: 2010-10-19（万方平台首次上网日期，不代表论文的发表时间）