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Mechanistic influences of different solvents on microwave-assisted extraction of Shenfu low-rank coal.

Authors :
Zhang, Liangping
Xiong, Zhe
Xiao, Yiming
Jiang, Long
Xu, Kai
Wang, Yi
Zhou, Yingbiao
Hu, Song
Su, Sheng
Xiang, Jun
Syed-Hassan, Syed Shatir A.
Source :
Fuel Processing Technology. Nov2017, Vol. 166, p276-281. 6p.
Publication Year :
2017

Abstract

Microwave-assisted extractions (MAEs) were carried out on Shenfu (SF) low-rank coal using four types of solvent, namely tetrahydrofuran, methanol, dichloromethane and ethyl acetate. Comparison with the traditional thermal extractions (TEs) indicated that MAEs were much more efficient in extracting organic components of SF coal. A large amount of aromatic compounds with 2–3 rings and rich branched alkanes could be extracted from coal by MAE. The results also showed that solvent polarity and the interaction between solvent and functional groups abundant in the extracts were the two main factors leading to differences of their MAE. Among the studied solvents, tetrahydrofuran could extract much more amount of polar compounds and its solution was rich in highly-condensed polycyclic aromatic compounds (PACs) with ≥ 4 rings. And this feature had relationship with its strongest interaction with the C O bond. Ethyl acetate, in contrast, showed strong interaction with the C O bonds and had good potential for the extraction of low-polarity compounds especially PACs with two aromatic rings and aliphatic compounds with long alkane chains. And for methanol and dichloromethane, their solvent polarity played dominant roles during the MAE procedures. The results provided more detailed mechanistic influences of different solvents on MAE of coal, and would help for the identification of a suitable solvent for efficient detection of components in organic substances, especially the extraordinary complex compounds in coal. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03783820
Volume :
166
Database :
Academic Search Index
Journal :
Fuel Processing Technology
Publication Type :
Academic Journal
Accession number :
124247784
Full Text :
https://doi.org/10.1016/j.fuproc.2017.06.016