可见-近红外漫反射光谱技术对羊毛和羊绒的鉴别研究

应用可见-近红外漫反射光谱技术对甘肃不同地区的130个羊毛和羊绒样品进行定性鉴别研究。结果表明：采用主成分-马氏距离聚类判别分析法，羊毛和羊绒样品界线;主成分回归分析技术结合多元离散校正、一阶导数等预处理方法，以及最佳主成分因子为8、不确定因子为1.00等参数，建立的定性鉴别模型预测性能较好，外部验证正确率为100%。说明利用可见-近红外漫反射光谱定性分析技术可以快速鉴别羊毛和羊绒。

Use of Visible and Near Infrared Reflectance Spectroscopy to Identify the Cashmere and Wool

The wool and cashmere samples (n=130) from different areas of Gansu province were identified by visible and near-infrared reflectance spectroscopy(Vis/NIRs). The result shows that principal component-mahalanobis distance pattern can identify the wool and cashmere, and the boundary between two categories was clear; The calibration set samples were used to establish calibration qualitative model using PCR combined with the best pretreatment of the spectra and math, including multivariate scattering correction (MSC), first derivative, eight for the best principal component factor, one for uncertainty factor, this calibration model of the predicted was the best, and the result of the external validation was correct completely. Results from this experiment indicate that Vis/NIRs can be utilized to identify the wool and cashmere.