title: Calibration model transfer for near-infrared spectra based on canonical correlation analysis.
abstract: In order to solve the calibration transformation problem in near-infrared (NIR) spectroscopy, a method based on canonical correlation analysis (CCA) for calibration model transfer is developed in this work. Two real NIR data sets were tested. A comparative study between the proposed method and piecewise direct standardization (PDS) was conducted. It is shown that the transfer results obtained with the proposed method based on CCA were better than those obtained by PDS when the subset had sufficient samples.
authors.affiliation: Research Center of Modernization of Chinese Medicines, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, PR China.
authors.forename: Wei
authors.initials: W
authors.lastname: Fan
authors.forename: Yizeng
authors.initials: Y
authors.lastname: Liang
authors.forename: Dalin
authors.initials: D
authors.lastname: Yuan
authors.forename: Jiajun
authors.initials: J
authors.lastname: Wang
mesh_terms: D002138:Calibration / Q000592:standards*; D012015:Reference Standards; D013055:Spectrophotometry, Infrared / Q000379:methods*; D013223:Statistics as Topic; D014026:Nicotiana / Q000737:chemistry; D003313:Zea mays / Q000737:chemistry