|
|
|
|
|
|
Spectroscopic Differences in Different Solvent Pretreated Coals in the Presence of ScCO2 and Their Mechanisms |
ZHANG Xiao-dong1, KANG Hong-dong1, LI Bing-hui2, ZHANG Shuo1*, HAN Lei1 |
1. Department of New Energy and Science Engineering, School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China
2. The First Institute of Resources and Environment Investigation of Henan Province, Zhengzhou 450000, China
|
|
|
Abstract The purpose of this study is to study the effect of supercritical carbon dioxide (ScCO2) on the chemical structure of coal after solvent pretreatment. The lean coal samples collected from Changzhi Huoerxinhe were adopted. Coal samples were pretreated with tetrahydrofuran (THF), hydrochloric acid (HCI), and hydrofluoric acid (HF), respectively. The Fourier transform infrared spectroscopy (FTIR), solid-state nuclear magnetic resonance (13C-NMR), and X-ray diffraction (XRD) were used to study the chemical composition and structure of coal samples. Results show that: ①The FITR peak-fitting spectra were basically consistent with the experimental curves, but the positions and intensities of the absorption peaks of each functional group still showed some deviations, and the aliphatic peaks disappeared in part of the bands after the pretreatment with acids (HCI and HF). The two types of acid pretreatment order are different, and the effect on the oxygenated functional group, fat structure, and aromatic structure of coal is not the same. The intensity of aromatic CC structure and oxygenated functional group peaks were enhanced after HF-HCI treatment. In contrast, the intensity of the aromatic CC structure was weakened after HCI-HF treatment, and the intensity of the structure of the oxygenated functional group was insignificant. The intensity of the aromatic CC structure of the coal samples was enhanced, and the intensity of the structure of the CC oxygenated functional group was reduced after THF pretreatment. After THF pretreatment, the intensity of the aromatic CC structure was enhanced, and the intensity of the CC oxygenated functional group was reduced. Overall, the intensity of aromatic CC structure is much larger than that of aliphatic structure and oxygenated functional group structure. ②In the 13C-NMR spectrum, the chemical shift of the main functional group peaks exhibits a certain degree of deviation. Aromatic carbon faB chemical shifts are overall shifted in the direction of increasing. The proportion of aromatic carbon is much greater than that of aliphatic carbon, indicating that aromatic carbon forms the bulk of the coal macromolecular structure. ③In the XRD pattern, the diffraction intensity of the 002 and 101 peaksk increases significantly, and the microcrystal structure parameter d002 shows an increasing trend. It can be seen that THF, acidic treatment, and ScCO2 all have a certain impact on the macromolecular structure of coal, causing the coal macromolecular network structure to become looser, which in turn increases the overall distance d002 of the microcrystalline layer network. Research shows that changes in the spectral characteristics of the coal after solvent action were not only related to the nature of the solven, but also to the order of inorganic acid treatment, and consequently, the functional group composition and macromolecular structure were altered to varying degrees, which in turn affected the extraction effect of ScCO2 on the pretreated coal.
|
Received: 2023-10-16
Accepted: 2024-03-27
|
|
Corresponding Authors:
ZHANG Shuo
E-mail: zhangshuo_9112@163.com
|
|
[1] SANG Shu-xun,YUAN Liang,LIU Shi-qi,et al(桑树勋,袁 亮,刘世奇,等). Journal of China Coal Society(煤炭学报),2022,47(4):1430.
[2] ZHANG Shuo,ZHANG Xiao-dong,DING Zhe,et al(张 硕,张小东,丁 哲,等). Coal Conversion(煤炭转化),2016,39(3):1.
[3] YANG Wei,LUO Li-ming,WANG Yi-han,et al(杨 威,罗黎明,王一涵,等). Journal of China Coal Society(煤炭学报),2023,48(8):3091.
[4] LIU Shi-qi,WANG Tian,DU Yi,et al(刘世奇,王 恬,杜 艺,等). Coal Geology & Exploration(煤田地质与勘探),2018,46(5):19.
[5] YUAN Mei,LI Zhao-ping,LI Bo-bo,et al(袁 梅,李照平,李波波,等). Natural Gas Industry(天然气工业),2022,42(6):163.
[6] ZHAO Yun-gang,LI Mei-fen,ZENG Fan-gui,et al(赵云刚,李美芬,曾凡桂,等). Journal of China Coal Society(煤炭学报),2018,43(2):546.
[7] LI Sheng,LUO Ming-kun,FAN Chao-jun,et al(李 胜,罗明坤,范超军,等). Journal of China Coal Society(煤炭学报),2017,42(7):1748.
[8] WANG Fang-fang,ZHANG Xiao-dong,PING Xiao-duo,et al(王芳芳,张小东,平晓朵,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2022,42(3):896.
[9] Liu Shiqi,Ma Jingsheng,Sang Shuxun,et al. Fuel,2018,223:32.
[10] LIU Li-bao,YAO Hui-fang,JI Xin-qiang,et al(刘利宝,要惠芳,姬新强,等). Coal Conversion(煤炭转化),2016,39(4):10.
[11] SUN Ke-ming,WU Di,SU Ai-guo,et al(孙可明,吴 迪,粟爱国,等). Chinese Journal of Rock Mechanics and Engineering(岩石力学与工程学报),2013,32(S2):3760.
[12] YUE Li-xin,SUN Ke-ming,ZHANG Feng-jia,et al(岳立新,孙可明,张风嘉,等). Journal of Liaoning Technical University(辽宁工程技术大学学报),2013,32(9):1157.
[13] XIE Ke-chang(谢克昌). Coal Structure and Its Reactivity(煤的结构与反应性). Beijing: Science Press(北京:科学出版社),2002.
[14] Okolo G N,Neomagus H W J P,Everson R C,et al. Fuel,2015,158:779.
[15] GUO De-yong,YE Jian-wei,WANG Qi-bao,et al(郭德勇,叶建伟,王启宝,等). Journal of China Coal Society(煤炭学报),2016,41(12):3040.
[16] XIANG Jian-hua,ZENG Fan-gui,LIANG Hu-zhen,et al(相建华,曾凡桂,梁虎珍,等). Journal of China Coal Society(煤炭学报),2016,41(6):1498.
[17] CHANG Hai-zhou,CAI Xue-mei,LI Gai-xian,et al(常海洲,蔡雪梅,李改仙,等). Journal of Shanxi University(山西大学学报),2008,(2):223.
|
[1] |
LÜ Shu-xian. A Study on the Non-Destructive Method of Identifying Chinese Traditional Handmade Paper With Attenuated Total Reflection Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(09): 2450-2458. |
[2] |
YUAN Hui, LIU Dan, XU Guang-tong*. Determination of Trace Gaseous Contaminants in FCV Hydrogen Fuel by Modular Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 853-858. |
[3] |
LIU Bi-wang1, LU Rong-rong2, CAO Yue2, WANG Xiu-wen3, ZHAO Huan4, HAO Miao3, MA Xiao-xia3, MA Yan-miao2, WANG Yong-hui2. FTIR Study on the Effect of DangGuiTongFengFang on Hyperuricemia Nephropathy in Mice[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 800-806. |
[4] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[5] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
[6] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
[7] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
[8] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
[9] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
[10] |
FENG Yu, ZHANG Yun-hong*. Rapid ATR-FTIR Principal Component Analysis of Commercial Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 838-841. |
[11] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
[12] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
[13] |
QIAO Lu1, LIU Rui-na1, ZHANG Rui1, ZHAO Bo-yu1, HAN Pan-pan1, 2, ZHOU Chun-ya1, 3, ZHANG Yu-qing1, 4, DONG Cheng-ming1*. Analysis of Spectral Characteristics of Soil Under Different Continuous Cropping of Rehmannia Glutinosa Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 541-548. |
[14] |
CHEN Yong1, 2, GUO Yun-zhu1, WANG Wei3*, WU Xiao-hong1, 2*, JIA Hong-wen4, WU Bin4. Clustering Analysis of FTIR Spectra Using Fuzzy K-Harmonic-Kohonen Clustering Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 268-272. |
[15] |
HU Yun-you1, 2, XU Liang1*, XU Han-yang1, SHEN Xian-chun1, SUN Yong-feng1, XU Huan-yao1, 2, DENG Ya-song1, 2, LIU Jian-guo1, LIU Wen-qing1. Adaptive Matched Filter Detection for Leakage Gas Based on Multi-Frame Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3307-3313. |
|
|
|
|