文献类型：期刊文献

英文题名：Application of FT-NIR-DR and FT-IR-ATR spectroscopy to estimate the chemical composition of bamboo (Neosinocalamus affinis Keng)

作者：Sun, Bailing[1] Liu, Junliang[1] Liu, Shujun[1] Yang, Qing[2]

第一作者：孙柏玲

通信作者：Liu, J.|[a0005e39c154a49be0322]刘娟;[a0005bf7bfb6858e3890c]刘军;[a0005795ac2449bd9354e]刘杰;[a00050e6817df143678b7]刘婕;

机构：[1] Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China; [2] College of Agriculture and Biotechnology, China Agriculture University, Beijing, China

年份：2011

卷号：65

期号：5

起止页码：689-696

外文期刊名：Holzforschung

收录：EI(收录号：20114314446782);Scopus(收录号：2-s2.0-80054775358)

语种：英文

外文关键词：Bamboo - Cellulose - Sodium hydroxide - Near infrared spectroscopy - Spectroscopic analysis - Forecasting - Reflection - Regression analysis - Least squares approximations - Infrared devices

摘要：Neosinocalamus affinis Keng is widely grown in south-western China for pulp and paper production. Rapid assessment of the chemical properties of N. affinis is necessary for both bamboo breeding and industrial utilization. This study was performed to investigate the abilities of Fourier transform near-infrared spectroscopy in the diffuse reflectance mode (FT-NIR-DR) and Fourier transform infrared attenuated total reflectance (FT-IR-ATR) spectroscopy to predict the contents of holocellulose, α-cellulose, Klason lignin, and NaOH extractives in N. affinis. Partial least squares regression models based on the raw and preprocessed spectra, including multiplicative scatter correction (MSC) and Savitzky-Golay 1st and 2nd derivative spectra, were developed for the chemical components of bamboo. The NIR-based calibrations displayed better performance than those using FT-IR-ATR spectra. The best calibrations developed by both methods for properties all had satisfactory correlations, with coefficient of determination (R2c) values ranging from 0.81 (Klason lignin by FT-IR and MSC) to 0.98 (α-cellulose by FT-NIR and 2nd derivative), and root mean standard error of calibration between 0.50 and 1.47%. When applied to prediction sets, the correlations were good, with R 2p above 0.68. The results demonstrate that both spectroscopic methods, combined with chemometric strategies, could rapidly predict the chemical composition of bamboo. ? 2011 by Walter de Gruyter · Berlin · Boston.