Liu Xin-Ru, Zhang Li-Ping, Wang Jian-Fu, Wu Jian-Ping, Wang Xin-Rong
College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Aug;33(8):2092-5.
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.
采用可见/近红外反射光谱法（Vis/NIRs）对甘肃省不同地区的130份羊毛和羊绒样品进行了鉴别。结果表明，主成分-马氏距离模式能够鉴别羊毛和羊绒，两类之间的界限清晰；利用校正集样品，结合光谱的最佳预处理和数学方法（包括多元散射校正（MSC）、一阶导数、最佳主成分因子取8个、不确定因子取1个），采用PCR建立校正定性模型，该预测校正模型最佳，外部验证结果完全正确。本实验结果表明，Vis/NIRs可用于鉴别羊毛和羊绒。
