title: [A new method of characteristic wavelength sub-range selection of near infrared spectroscopy].
abstract: To improve and simplify the prediction model of carotenoid content of cucumber leaves, genetic algorithm (GA) combined with Metropolis acceptance criterion of simulated annealing algorithm (SAA) as well as interval partial least square (iPLS) were proposed and used to establish the calibration models of carotenoid content against cucumber leaves spectra. The cucumber leaves spectra data were divided into 40 intervals, among which 7 subsets, i. e. No. 3, 4, 14, 18, 21, 32 and 33, were selected by SAA-GA-iPLS. The comparison was made between SAA-GA-iPLS and traditional genetic algorithm interval partial least square (GA-iPLS), and the result of this study shows that SAA-GA-iPLS was better than traditional genetic algorithm interval partial least square (GA-iPLS).
authors.affiliation: School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China. stoneboy_2007@sohu.com
authors.forename: Ji-Yong
authors.initials: JY
authors.lastname: Shi
authors.forename: Xiao-Bo
authors.initials: XB
authors.lastname: Zou
authors.forename: Jie-Wen
authors.initials: JW
authors.lastname: Zhao
authors.forename: Xiao-Ping
authors.initials: XP
authors.lastname: Yin
authors.forename: Zheng-Wei
authors.initials: ZW
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D002138:Calibration; D002338:Carotenoids / Q000032:analysis*; D018553:Cucumis sativus / Q000737:chemistry; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D018515:Plant Leaves / Q000737:chemistry; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D002338:Carotenoids