Kumar Srivastava Manish, Vikram Kunwar, Kishor Kaushal, Singh Alok K, Mukherjee Soumyajit, Singh Ranjan K
Department of Petroleum Engineering and Geoengineering, Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi 229 304, Uttar Pradesh, India.
Department of Physics, Graphic Era Deemed to be University, Dehradun 248 002, Uttarakhand, India.
Spectrochim Acta A Mol Biomol Spectrosc. 2026 Jan 15;345:126765. doi: 10.1016/j.saa.2025.126765. Epub 2025 Aug 5.
Raman spectroscopy can play a crucial role in coal rank identification by providing direct insights into the structural evolution of carbon during coalification. Unlike any traditional method such as vitrinite reflectance, which rely on specific macerals and often face limitations in low-vitrinite or compositionally altered samples, Raman offers a non-destructive and comprehensive assessment of all organic matter types. It detects changes in chemical bonding, aromaticity, and the degree of structural order-key indicators of coal maturity-by analyzing vibrational energy levels. Its ability to differentiate between sp- and sp-hybridized carbon and monitor the transition from amorphous to graphitic structures makes it especially valuable for evaluating thermal evolution. This research investigates the evolution of coal's chemical composition and microstructure during maturation using Raman spectroscopy, supported by Fourier Transform Infrared (FT-IR) and X-ray photoelectron spectroscopy (XPS). The transformation of peat into coal, driven by microbial activity, thermochemical degradation and burial, increases carbon concentration and releases volatiles. Traditional methods such as vitrinite reflectance suffer from limitations, particularly in samples with low or absent vitrinite content, or when vitrinite is suppressed by bitumen or enhanced by recycled particles. Measurement errors may arise from polishing issues, anisotropy or instrument calibration, but Raman spectroscopy offers more profound insights into carbon structure changes during coalification and graphitization. Initially, coal and lignite samples of varying ranks (from lignite to semi-anthracite) were analyzed using traditional methods such as proximate analysis and vitrinite reflectance to determine coal rank. Subsequently, spectroscopic techniques were employed to evaluate carbon structure, functional groups, and sp/sp carbon ratios. FT-IR identified functional groups, while XPS examined surface elements. Raman spectra revealed a clear relationship between coal rank and carbon structure, showing higher-rank coals with greater sp carbon ordering, resembling graphite. Gaussian fitting confirmed that sp content increases while sp content decreases with rank, consistent with XPS and IR findings. The G-band shift and broadening indicated increased nanocrystalline graphite from sub-bituminous to anthracite, while lignite displayed more sp content and amorphous carbon. XPS confirmed that higher-rank coals have more CC bonds, while lignite contains CO and COOH groups. The study provides a novel framework for assessing coal rank and maturation, enhancing understanding of coal's metamorphic history, and offering insights for optimizing coal utilization and expanding geological knowledge of organic sediment metamorphism.
拉曼光谱法通过直接洞察煤化过程中碳的结构演变,在煤阶识别中可发挥关键作用。与任何传统方法(如镜质体反射率法)不同,传统方法依赖特定的煤岩组分,并且在低镜质体或成分改变的样品中常常面临局限性,而拉曼光谱法能对所有有机质类型进行无损且全面的评估。它通过分析振动能级来检测化学键、芳香性以及结构有序度(煤成熟度的关键指标)的变化。其区分sp和sp杂化碳以及监测从无定形结构到石墨结构转变的能力,使其在评估热演化方面特别有价值。本研究利用拉曼光谱法,并辅以傅里叶变换红外光谱(FT-IR)和X射线光电子能谱(XPS),研究了煤在成熟过程中的化学成分和微观结构演变。由微生物活动、热化学降解和埋藏驱动的泥炭向煤的转变,增加了碳浓度并释放出挥发物。镜质体反射率等传统方法存在局限性,特别是在镜质体含量低或不存在的样品中,或者当镜质体被沥青抑制或被再循环颗粒增强时。测量误差可能源于抛光问题、各向异性或仪器校准,但拉曼光谱法能更深入地洞察煤化和石墨化过程中的碳结构变化。最初,使用近似分析和镜质体反射率等传统方法对不同煤阶(从褐煤到半无烟煤)的煤和褐煤样品进行分析,以确定煤阶。随后,采用光谱技术评估碳结构、官能团以及sp/sp碳比。FT-IR识别官能团,而XPS检测表面元素。拉曼光谱揭示了煤阶与碳结构之间的明确关系,显示出高阶煤具有更高的sp碳有序度,类似于石墨。高斯拟合证实,随着煤阶升高sp含量增加而sp含量减少,这与XPS和IR的结果一致。从次烟煤到无烟煤,G带的位移和展宽表明纳米晶石墨增加,而褐煤显示出更多的sp含量和无定形碳。XPS证实高阶煤具有更多的C-C键,而褐煤含有C-O和C-COOH基团。该研究为评估煤阶和成熟度提供了一个新的框架,增进了对煤变质历史的理解,并为优化煤炭利用和扩展有机沉积物变质的地质知识提供了见解。