文献类型：期刊文献

英文题名：Effects of variable selection and processing of NIR and ATR-IR spectra on the prediction of extractive content in Eucalyptus bosistoana heartwood

作者：Li, Yanjie[1] Altaner, Clemens M.[2]

第一作者：李彦杰

通信作者：Altaner, CM[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Fuyang 311400, Zhejiang, Peoples R China;[2]Univ Canterbury, Sch Forestry, Private Bag 4800, Christchurch, New Zealand

年份：2019

卷号：213

起止页码：111-117

外文期刊名：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000471314400016)】；

基金：This work was funded by the MBIE Partnership for Specialty Wood Products (Contract FFRX1501). We like to thank Paul Millen for supplying the wood samples.

语种：英文

外文关键词：Natural durability; Spectra pre-processing; Standard normal variate (SNV); Partial least squares regression (PLSR); Variable selection (sMC)

摘要：The use of quick attenuated total reflectance infrared (ATR-IR) spectroscopy and near infrared (NIR) spectroscopy to predict extractives content (EC) in heartwood of E. bosistoana with partial least squares regression (PLSR) modelswas studied. Different spectra pre-processingmethods and variable selection were tested for calibration optimisation. While variable selection substantially improved the NIR-PLSR models, only small effects were observed for spectra pre-processing methods and ATR-IR-PLSR models. Both of the NIR-PLSR and ATR-IR-PLSR models yielded reliably EC results with high R-2 and low root mean square error (RMSE). NIR based models performed better (RMSE 0.9%) than ATR-IR based models (RMSE 1.6%). Analysis showed that the models were based on IR signals assigned to chemical structures known from eucalyptus heartwood extracts. Combined with PLSR and variable selection, both, ATR-IR and the NIR spectroscopy, can be used to quickly predict EC in E. bosistoana, a measure needed in tree breeding and the quality control of for durable timber. (C) 2019 Elsevier B.V. All rights reserved.