Extractive desulfurization of model fuels with a nitrogen-containing heterocyclic ionic liquid

Guojia Yu, Dongyu Jin, Xinyu Li, Fan Zhang, Shichao Tian, Yixin Qu, Zhiyong Zhou, Zhongqi Ren

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PDF(4487 KB)
Front. Chem. Sci. Eng. ›› 2022, Vol. 16 ›› Issue (12) : 1735-1742. DOI: 10.1007/s11705-022-2167-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Extractive desulfurization of model fuels with a nitrogen-containing heterocyclic ionic liquid

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Abstract

A nitrogen-containing ionic liquid was synthesized using an aromatic nitrogen-containing heterocyclic and an amino acid, and applied to the extractive desulfurization process to remove benzothiophene, dibenzothiophene, and 4,6-dimethyldibenzothiphene from a model fuel oil. Chemical characterizations and simulation using Gaussian 09 software confirmed the rationality of an ionic liquid structure. Classification of non-covalent interactions between the ionic liquid and the three sulfur-containing contaminants was studied by reduced density gradient analysis. The viscosity of the ionic liquid was adjusted by addition of polyethylene glycol. Under extraction conditions of the volume of ionic liquid to oil as 1:1 and temperature as room temperature, the desulfurization selectivity of ionic liquid followed the order of 4,6-dimethyldibenzothiphene (15 min) < benzothiophene (15 min) ≈ dibenzothiophene (10 min). Addition of p-xylene and cyclohexene to the fuel oil had little effect. The extractant remained stable and effective after multiple regeneration cycles.

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Keywords

extractive desulfurization / nitrogen-containing heterocyclic ionic liquid / reduced density gradient analysis / desulfurization selectivity

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Guojia Yu, Dongyu Jin, Xinyu Li, Fan Zhang, Shichao Tian, Yixin Qu, Zhiyong Zhou, Zhongqi Ren. Extractive desulfurization of model fuels with a nitrogen-containing heterocyclic ionic liquid. Front. Chem. Sci. Eng., 2022, 16(12): 1735‒1742 https://doi.org/10.1007/s11705-022-2167-x

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 22125802, 22078010 and U1862113) and the Big Science Project from BUCT (Grant No. XK180301).

Electronic Supplementary Material

Supplementary material is available in the online version of this article at https://dx.doi.org/10.1007/s11705-022-2167-x and is accessible for authorized users.

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