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, Clemens M.

机构：[1] Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Fuyang, Zhejiang, 311400, China; [2] School of Forestry, University of Canterbury, 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：EI(收录号：20190406417315);Scopus(收录号：2-s2.0-85060279535)

语种：英文

外文关键词：Chemical analysis - Forecasting - Wood products - Least squares approximations - Processing - Quality control - Infrared devices - Mean square error

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) models was studied. Different spectra pre-processing methods 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 R2 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. ? 2019 Elsevier B.V.