Estimating the chemical composition of biodegraded pine and eucalyptus wood by DRIFT spectroscopy and multivariate analysis
Estimating the chemical composition of biodegraded pine and eucalyptus wood by DRIFT spectroscopy and multivariate analysis
复制标题
DOI：
10.1016/s0960-8524(00)00024-9
复制
发表时间：
2000-09-01
影响因子：
11.4
通讯作者：
Freer, J
中科院分区：
文献类型：
--
作者：
Ferraz, A;Baeza, J;Freer, J
傅立叶变换红外光谱（FTIR）作为监测木材生物降解的分析工具进行了评估。制备了含有典型的软材（辐射松）和硬木（蓝桉）的样品集，其被六种白色-和两种褐腐真菌腐烂。从30天到1年的生物降解时间提供的样品遭受的重量损失从0.4%到36%的松木和1.7%到42%的桉树木材。腐烂的样品，其特征在于传统的湿化学分析和漫反射傅里叶变换红外光谱（DRIFT）光谱。多元分析应用于木材样品的化学成分与FTIR光谱数据的相关性。偏最小二乘（PLS）模型能够在99%的置信水平上预测主要木材组分的浓度，在大多数情况下，r（2）值大于0.86。辐射草的模型比E.球状体。(C)2000爱思唯尔科技有限公司版权所有。
Fourier transformed infra-red (FTIR) was evaluated as an analytical tool for monitoring wood biodegradation. A sample set containing typical soft (Pinus radiata) and hardwood (Eucalyptus globulus) decayed by six white- and two brown-rot fungi was prepared. Biodegradation times from 30 days to 1 year provided samples that suffered weight losses varying from 0.4% to 36% for pine wood and 1.7% to 42% for eucalyptus wood. Decayed samples were characterized by conventional wet chemical analysis and by diffuse reflectance FTIR (DRIFT) spectroscopy. Multivariate analysis was applied to correlate chemical composition in wood samples with the FTIR spectral data. Partial least squares (PLS) models were able to predict the major wood components' concentrations at the 99% confidence level presenting r(2) values higher than 0.86 in most cases. Models for P. radiata were more precise than for E. globulus. (C) 2000 Elsevier Science Ltd. All rights reserved.