title: [Use of visible and near infrared reflectance spectroscopy to identify the cashmere and wool].
abstract: 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.
authors.affiliation: College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China. liuxinru2010@163.com
authors.forename: Xin-Ru
authors.initials: XR
authors.lastname: Liu
authors.forename: Li-Ping
authors.initials: LP
authors.lastname: Zhang
authors.forename: Jian-Fu
authors.initials: JF
authors.lastname: Wang
authors.forename: Jian-Ping
authors.initials: JP
authors.lastname: Wu
authors.forename: Xin-Rong
authors.initials: XR
authors.lastname: Wang
mesh_terms: D000818:Animals; D002138:Calibration; D006041:Goats; D025341:Principal Component Analysis; D011786:Quality Control; D012756:Sheep; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D014935:Wool / Q000737:chemistry*