论文部分内容阅读
热分析是在程序控制温度下自动连续跟踪物质的物理性质与温度关系的一类技术。尤其是差热分析和热重法与其他手段联合,可用于化合物稳定性、分解机理和相转变等方面的研究。由于种子是一个复杂化合物的有机体,我们期望发现各不同种子化合物之间在成份上和组成方式上的共性和差异性,从热化学的角度对木本植物进行热化学分类。我们选用针叶类两个科(松科、杉木科)的种子进行了DTA、TG、550℃裂解气相色谱分析;300℃逸出成份分析,发现松科种子DTA图上在240±5℃有一个共同的吸热峰,而杉木则出现在320±5℃。TG曲线同科的不同种之间非常相似,逸出成份分析和裂解气相色谱分析同科的不同种之间也具共同特征,且又显示出一定的差异性。这种分类方法是可靠的,且可为树木(或植物)分类学提供更有价值的信息。
Thermal analysis is a class of techniques that automatically and continuously track the relationship between the physical properties of a substance and temperature at a programmed temperature. In particular, differential thermal analysis and thermogravimetry combined with other methods can be used for the study of compound stability, decomposition mechanism and phase transition. Due to the fact that seed is a complex organism, we expect to find out the commonalities and differences in composition and composition of different seed compounds. Thermochemical classification of woody plants from the thermochemical point of view. We selected the coniferous two families (Pinaceae, Chinese fir Branch) seeds were DTA, TG, pyrolysis gas chromatographic analysis at 550 ℃; 300 ℃ escape component analysis and found that on the DTA branch of Pinaceae seed at 240 ± 5 ℃ A common endothermic peak, while the fir appeared at 320 ± 5 ℃. The TG curve is very similar to the different species in the same family, and there is a common characteristic between the different components of the GC analysis and the pyrolysis GC analysis, which shows some differences. This method of classification is reliable and can provide more valuable information for tree (or plant) taxonomy.