详细信息
高温热处理对毛白杨木材化学成分含量的影响 被引量:30
Impact of heat treatment on chemical composition of Chinese white poplar wood
文献类型:期刊文献
中文题名:高温热处理对毛白杨木材化学成分含量的影响
英文题名:Impact of heat treatment on chemical composition of Chinese white poplar wood
作者:黄荣凤[1] 吕建雄[1] 曹永建[1] 赵秀[1] 赵有科[1] 周永东[1] 吴玉章[1]
第一作者:黄荣凤
机构:[1]中国林业科学研究院木材工业研究所国家林业局木材科学与技术重点实验室
年份:2010
期号:3
起止页码:155-160
中文期刊名:北京林业大学学报
外文期刊名:Journal of Beijing Forestry University
收录:CSTPCD;;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;
基金:“948”国家林业局引进项目(2006-4-C03)
语种:中文
中文关键词:毛白杨;热处理;化学成分含量;回归模型
外文关键词:Chinese white poplar; heat treatment; chemical composition; regression model
分类号:S718.41
摘要:以毛白杨人工林木材为研究对象,采用蒸汽介质热处理方法,在氧气含量低于2%的密闭干燥箱内进行木材热处理,研究了处理温度170~230℃、处理时间1~5h的热处理条件下,木材的化学成分含量及成分变化。结果表明:随着处理温度的提高和处理时间的延长,综纤维素和α-纤维素含量降低,而木质素含量表现出增加的趋势;处理温度比处理时间对毛白杨化学成分含量的影响更显著;综纤维素和α-纤维素含量发生显著变化的临界温度为200℃,处理时间为2h。另外,采用傅立叶红外变换光谱分析木材主要组分变化的原因,发现表征木材纤维素和半纤维素的官能团特征吸收峰强度减弱,而表征木质素的官能团特征吸收峰强度增强。采用多元回归分析方法,建立了毛白杨木材综纤维素、α-纤维素、木素含量损失率与处理温度、处理时间之间的数学回归模型,其决定系数均在0.9以上,在0.01水平上显著相关。可见,该模型可以预测出不同处理条件下热处理材化学成分含量的变化。
Using a heating device with an inside content of oxygen of less than 2%,Chinese white poplar(Populus tomentosa Carr.) specimens were heat-treated at temperatures ranging from 170℃ to 230℃ for periods lasting from 1 to 5 h.Relationships between the chemical composition of heat-treated wood and treatment conditions were investigated.The results show that the amount of holocellulose and α-cellulose decreased,but that of lignin increased with increases in temperature and time during the heat treatment.Compared to the heating time,the heating temperature had a greater effect on the amounts of chemical composition.The critical condition for the marked changes in the amount of holocellulose and α-cellulose is the heating temperature of 200℃ for a period of 2 h.Using Fourier Transform Infrared Spectroscopy(FT-IR),the analysis indicated that the intensity of the characteristic absorption peaks of cellulose and hemicellulose decreased and those of lignin increased as a function of increasing temperature and time.Based on our experimental data,regression models were developed to predict the change of chemical composition(holocellulose,α-cellulose and lignin) for different temperatures and times.
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