title: [Application of near-infrared spectra in the determination of water soluble chloride ion in plant samples].
abstract: A new method was proposed to extract relevant information from near-infrared (NIR) spectra for multivariate calibration of water soluble chloride ion in complex plant samples. The method is a combination of discrete wavelet transform (DWT) and least squares support vector regression (LSSVR). After data compression and background removal in NIR spectra by DWT, the LSSVR approach was used to build NIR spectra regression models on the retained wavelet coefficients. Compared with partial least square regression (PLSR) and LSSVR, the proposed method is superior both in calculation speed and prediction accuracy.
authors.affiliation: Department of Chemistry, University of Science and Technology of China, Hefei.
authors.forename: Rong-hui
authors.initials: RH
authors.lastname: Wu
authors.forename: Xue-guang
authors.initials: XG
authors.lastname: Shao
mesh_terms: D002713:Chlorine / Q000032:analysis*; D007477:Ions / Q000032:analysis*; D010944:Plants / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D007477:Ions; D002713:Chlorine