拉曼光谱在补连塔低阶煤显微组分分析中的应用

Application of Raman Spectrum in Low-rank Coal of Bulianta

人工图像分析法是目前分析低阶煤显微组分的主要方法,这种方法耗时耗力精度低。利用拉曼光谱快速准确判断物质组成的特点,对内蒙古补连塔低阶煤显微组分采用拉曼光谱研究,发现D1和G峰值位置、半峰宽和峰高存在差异,并结合成分分子结构差异讨论峰值差异原因,以期实现快速准确确定低阶煤煤岩显微组分。

Artificial image analysis is the main method of determining low-rank coal maceral. The method is time-consuming and low accuracy. Coal and coke maceral, vitrinite and inertinite,are measured by means of Raman spectrum. The results show that they are different in D1 and G peak position,half peak width and peak hight. The peak different of two ingredients combine to their structure composition. By using Raman spetrum to identify quickly and accurately maceral of low-rank coal.