文献类型：期刊文献

英文题名：A Robust Near-Infrared Calibration Model for the Determination of Chlorophyll Concentration in Tree Leaves with a Calibration Transfer Method

作者：Wang, Man[1,2] Zheng, Kaiyi[1,2] Yang, Guijuan[3,4] Ma, Wenjun[3,4] Wang, Junhui[3,4] Wang, Tianyi[1,2] Du, Yiping[1,2]

第一作者：Wang, Man

通信作者：Du, YP[1]

机构：[1]E China Univ Sci & Technol, Shanghai Key Lab Funct Mat Chem, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Res Ctr Anal & Test, Shanghai 200237, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing, Peoples R China;[4]Chinese Acad Sci, Key Lab Tree Breeding & Cultivat State Forestry A, Res Inst Forestry, Beijing, Peoples R China

年份：2015

卷号：48

期号：11

起止页码：1707-1719

外文期刊名：ANALYTICAL LETTERS

收录：;Scopus(收录号：2-s2.0-84930735048);WOS:【SCI-EXPANDED(收录号:WOS:000354114800004)】；

基金：The authors acknowledge the financial assistance provided by the National Scientific and Technological Task for the Twelfth Five-Year Plan in China (No. 2012BAD21B03).

语种：英文

外文关键词：Partial least squares (PLS); Near-infrared spectroscopy (NIR); Chlorophyll; Piecewise direct standardization (PDS)

摘要：A method based on piecewise direct standardization was developed to directly predict leaf chlorophyll concentrations by correction of near-infrared spectra to construct a robust calibration model. Chinar, camphor, and gingko leaves collected from two growth intervals were evaluated. Spectral pretreatment methods and wavelength selection were investigated. The first derivative combined with stability competitive adaptive reweighted sampling before piecewise direct standardization provided the best performance. Under the optimized parameters, the root mean square error of prediction was significantly reduced by using piecewise direct standardization. This study demonstrates that the calibration model may be used to rapidly characterize chlorophyll concentrations across species and growth intervals.