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Insight into effective denitrification and desulfurization of liquid fuel with deep eutectic solvents: an innovative evaluation criterion to filtrate extractants using compatibility index

Abstract

Tremendous attention has been paid upon removal of N-/S-containing compounds from liquid fuels due to the necessity of reducing the NOx and SOx emissions. In this work, the compatibility index (CI or PCI) was developed as a new criterion to evaluate the removal efficiency (Re) of quinoline, carbazole and dibenzothiophene (DBT) in deep eutectic solvents (DESs). For alkaline quinoline, the acid-base extraction was pronounced, and the ChCl/mandelic acid was the optimal extractant to achieve a removal efficiency of 99.2 wt.% (CI= 0.37). For near-neutral carbazole and DBT, the polarity compatible extraction was the predominant mechanism. The highest Re value of 94.9 wt.% for carbazole removal was obtained in ChCl/mandelic acid extractant (PCI= -0.044). DBT was hard to be removed directly because of its low molecular polarity. After adding H2O2, the desulfurization efficiency was found raised up to 99.1 wt.% in ChCl/p-toluenesulfonic acid extractant (PCI= 0.014). Furthermore, experiments with real diesel confirmed that the highest desulfurization and denitrification efficiency was 67.7 wt.% and 63.7 wt.%, respectively, in ChCl/p-toluenesulfonic acid. The compatibility index developed in this study has the potential to simplify the filtration operation of extractants and to intensify the removal efficiency of N-/S-containing compounds in the category of “green extraction”.

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Supplementary files

Publication details

The article was received on 14 Mar 2018, accepted on 05 Jun 2018 and first published on 06 Jun 2018


Article type: Paper
DOI: 10.1039/C8GC00828K
Citation: Green Chem., 2018, Accepted Manuscript
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    Insight into effective denitrification and desulfurization of liquid fuel with deep eutectic solvents: an innovative evaluation criterion to filtrate extractants using compatibility index

    Z. Li, D. Liu, Z. Men, L. Song, Y. Lv, P. Wu, B. Lou, Y. Zhang, N. Shi and Q. Chen, Green Chem., 2018, Accepted Manuscript , DOI: 10.1039/C8GC00828K

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