The three-dimensional molecular structure model of Fushun oil shale kerogen, China

干酪根 油页岩 化学 傅里叶变换红外光谱 热解 碳-13核磁共振 分析化学(期刊) 烃源岩 有机化学 地质学 化学工程 构造盆地 工程类 古生物学
作者
Wang Qing,Wang Xinmin,Shuo Pan
出处
期刊:Journal of Molecular Structure [Elsevier BV]
卷期号:1255: 132380-132380 被引量:38
标识
DOI:10.1016/j.molstruc.2022.132380
摘要

Oil shale pyrolysis products mainly derive from the pyrolysis of organic kerogen. In this study, theoretical and experimental data were combined to conceive a reliable three-dimensional (3D) model of kerogen from the Fushun oil shale, China. The fundamental structural information was characterized based on experimental techniques, including 13C nuclear magnetic resonance spectroscopy (13C NMR), elemental analysis, X-ray diffraction (XRD), X-ray photoelectron spectroscopy(XPS), Fourier transform infrared spectroscopy(FTIR), and pyrolysis–gas chromatography–mass spectrometry (Py-GC/MS). Additionally, the molecular model of the two-dimensional structure of the kerogen was also established based on the basic structure and rapid thermal cleavage product information. The obtained formula is C240H322O32N7S5. Twelve isomers were constructed based on the “grid” concept and molecular dynamics methods and were applied to simulate the formed isomers. It has been identified that the number of grids affected the total energy of the kerogen, FS7 being the structure with the lowest total energy from the Fushun kerogen. The density of kerogen is an important index to evaluate the accuracy of the model, and our results indicate that there is a good match between the density calculated by the model and the experimentally obtained density. Also, a favorable relationship exists between the experimental and simulated values of the model covalent bond concentrations which proves the rationality and accuracy of the 3D molecular structure model. By combining theoretical and experimental data, we established a reliable structural model of the Fushun kerogen, which will provide a strong basis for future research on the pyrolysis mechanism of the Fushun oil shale at a molecular level.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
kingwill应助edword采纳,获得20
刚刚
1秒前
347完成签到,获得积分10
1秒前
chao完成签到,获得积分10
1秒前
淡定安波发布了新的文献求助10
2秒前
桐桐应助menghongmei采纳,获得10
2秒前
超级初夏完成签到,获得积分10
3秒前
风车车完成签到,获得积分10
3秒前
李爱国应助ming采纳,获得10
3秒前
4秒前
4秒前
5秒前
乐乐应助PJT-8450采纳,获得10
5秒前
5秒前
6秒前
JERRY完成签到,获得积分10
6秒前
失眠双双发布了新的文献求助10
6秒前
6秒前
甜甜的冰淇淋完成签到,获得积分10
6秒前
6秒前
李爱国应助任伟超采纳,获得10
8秒前
hh完成签到,获得积分10
9秒前
深情安青应助孤独钧采纳,获得50
9秒前
TT完成签到,获得积分10
9秒前
Jakssa发布了新的文献求助10
9秒前
10秒前
bkagyin应助Unicorn采纳,获得10
10秒前
maguodrgon发布了新的文献求助10
11秒前
11秒前
哈哈发布了新的文献求助10
11秒前
12秒前
ben发布了新的文献求助10
12秒前
molihuakai应助回家放羊采纳,获得10
12秒前
共享精神应助Leo采纳,获得10
13秒前
慕青应助luluyang采纳,获得10
14秒前
16秒前
ly发布了新的文献求助10
16秒前
16秒前
home完成签到,获得积分10
17秒前
杜兰特工队完成签到,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629705
求助须知:如何正确求助?哪些是违规求助? 9204069
关于积分的说明 19736982
捐赠科研通 7199182
什么是DOI,文献DOI怎么找? 3274314
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270480