Chemical Composition and Structural Characteristics of Oil Shales and Their Kerogens Using Fourier Transform Infrared (FTIR) Spectroscopy and Solid-State 13C Nuclear Magnetic Resonance (NMR)

傅里叶变换红外光谱 化学 亚甲基 碳-13核磁共振 芳香性 干酪根 化学位移 核磁共振波谱 分析化学(期刊) 有机化学 分子 物理化学 烃源岩 地质学 古生物学 物理 构造盆地 量子力学
作者
Qing Wang,Jiang-bin Ye,Hongyang Yang,Qi Liu
出处
期刊:Energy & Fuels [American Chemical Society]
卷期号:30 (8): 6271-6280 被引量:94
标识
DOI:10.1021/acs.energyfuels.6b00770
摘要

The chemical composition and chemical structure of selected oil shales and the kerogens isolated from them were studied by solid-state 13C nuclear magnetic resonance (NMR) and Fourier transform infrared (FTIR) spectroscopy with curve-fitting analysis, and the changes during the removal of the inorganic matrix were also investigated. The 13C NMR results indicate that the oil shales and kerogens are mainly composed of aliphatic carbon (≥55%). FTIR analysis indicates that aliphatic hydrocarbons mainly contain the methylene group, mostly forming long straight chains and a small amount of branched chains, and the hydroxy groups mainly contain OH–OH and OH–O bonds (≥65%). Both the 13C NMR and FTIR analyses show that the acid treatment improved the hydrocarbon-generating ability in kerogen. Furthermore, the curve-fitting analysis indicates that the HCl and HF treatments slightly affected the aliphatic and hydroxyl structures, but significantly affected the oxygen-containing and aromatic structures in the oil shales. The oxygen-containing groups in the oil shales are mainly the C–OH group, followed by the C–O, O═C–O, and C═O groups, in descending order. After the acid treatment, the main oxygen-containing groups were the C–OH and C–O groups, because of the hydrolysis, substitution, and ion exchange. The 13C NMR results indicate that the acid treatment not only decreased the extent of aromatic ring condensation (fused aromatic rings), but also decreased the number of condensed aromatic rings.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
1秒前
Stephen完成签到,获得积分10
2秒前
123465完成签到,获得积分10
3秒前
毛豆应助7777777采纳,获得10
3秒前
Andy发布了新的文献求助10
3秒前
LiuHK发布了新的文献求助10
4秒前
wh完成签到,获得积分10
5秒前
6秒前
烂漫的千萍关注了科研通微信公众号
6秒前
6秒前
南方姑娘在南方完成签到,获得积分20
6秒前
6秒前
乐乐应助dengqin采纳,获得10
7秒前
英俊的铭应助薄荷味采纳,获得10
8秒前
8秒前
CZJ完成签到,获得积分10
9秒前
9秒前
张永乐发布了新的文献求助10
11秒前
清秀聪健发布了新的文献求助10
11秒前
12秒前
12秒前
耿耿完成签到,获得积分10
13秒前
777发布了新的文献求助10
14秒前
疯狂的大山完成签到,获得积分10
15秒前
josui发布了新的文献求助10
15秒前
tingk发布了新的文献求助10
15秒前
bkagyin应助过时的小蘑菇采纳,获得10
15秒前
张永乐完成签到,获得积分10
15秒前
15秒前
4000发布了新的文献求助10
16秒前
期望应助曾小莹采纳,获得10
16秒前
16秒前
16秒前
诚心小鸭子应助从容前行采纳,获得10
17秒前
17秒前
清秀聪健完成签到,获得积分10
17秒前
19秒前
dengqin发布了新的文献求助10
20秒前
Andy完成签到,获得积分20
20秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3304792
求助须知:如何正确求助?哪些是违规求助? 2938738
关于积分的说明 8489795
捐赠科研通 2613236
什么是DOI,文献DOI怎么找? 1427209
科研通“疑难数据库(出版商)”最低求助积分说明 662907
邀请新用户注册赠送积分活动 647557