Molecular structure characteristic of coals of different rank

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xiulin Shang, Zhongqi Wei, Di Tang, Zhijun Zhang
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引用次数: 0

Abstract

Context

Understanding the structural characteristics of coal at the molecular level is fundamental for its effective utilization. To explore the molecular structure characteristic, the long-flame coal from Daliuta (DLT), coking coal from Yaoqiao (YQ), and anthracite from Taixi (TX) were investigated using various techniques such as elemental analysis, Fourier transform infrared spectroscopy, solid-state 13C nuclear magnetic resonance spectroscopy, and X-ray photoelectron spectroscopy. Based on the structural parameters, the coal molecular model was constructed and optimized. The molecular formula of DLT was C193H178N2O47, that of YQ was C201H179N3O30S, and that of TX was C198H118N2O10. With an increase in the degree of metamorphism, the substitution of the benzene ring gradually shifted towards lower levels of substitution. The content of long chain in the aliphatic chain decreased while the content of branched chains kept increasing. The percentage of aromatic ether increased gradually, while the phenolic hydroxyl group initially decreased but then increased. The carboxyl group C = O decreased and eventually disappeared in anthracite coal. The proportion of pyrrole nitrogen gradually increased while that of pyridine nitrogen and protonated pyridine gradually decreased.

Methods

The 2D planar structure of coal was constructed using ChemDraw, ACD/CNMR Predictor, and gNMR programs. The geometry optimization was performed using the COMPASS II force field within the Forcite module in Materials Studio 2020. The annealing process employed NVT ensemble at a simulation temperature of 298 K. The Amorphous Cell module in Materials Studio was used to construct large-scale 3D molecular models, with the set parameters in this paper.

Abstract Image

不同阶煤的分子结构特征
在分子水平上了解煤的结构特征是有效利用煤的基础。为探究其分子结构特征,采用元素分析、傅里叶变换红外光谱、固态13C核磁共振光谱和x射线光电子能谱等技术对大柳塔长焰煤(DLT)、姚桥炼焦煤(YQ)和太西无烟煤(TX)进行了研究。基于结构参数,构建并优化了煤的分子模型。DLT分子式为C193H178N2O47, YQ分子式为C201H179N3O30S, TX分子式为C198H118N2O10。随着变质程度的增加,苯环的取代逐渐向较低的取代水平转移。脂肪链中长链含量减少,支链含量不断增加。芳香醚含量逐渐增加,酚羟基含量先降低后升高。无烟煤中羧基C = O减少,最终消失。吡咯氮的比例逐渐增加,吡啶氮和质子化吡啶的比例逐渐减少。方法采用ChemDraw、ACD/CNMR Predictor和gNMR程序构建煤的二维平面结构。几何优化是在Materials Studio 2020的Forcite模块中使用COMPASS II力场进行的。退火过程采用NVT系综,模拟温度为298 K。利用Materials Studio中的Amorphous Cell模块构建大尺度三维分子模型,并根据本文设定的参数进行建模。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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