Extraction of Pyrrole from Its Mixture with n-Hexadecane Using Ionic Liquids and Their Binary Mixtures

Author:

Amran Sorfina1,Salleh Muhammad Zulhaziman Mat1ORCID,Hizaddin Hanee F.2ORCID,Luthfi Abdullah Amru Indera1ORCID,Alhadid Ahmad3ORCID,Hadj-Kali Mohamed Kamel4

Affiliation:

1. Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia

2. University Malaya Centre for Ionic Liquids (UMCiL), University of Malaya, Kuala Lumpur 50603, Malaysia

3. Biothermodynamics, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, D-85354 Freising, Germany

4. Chemical Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia

Abstract

The conventional hydrodenitrogenation method is expensive and involves the use of catalysts and harsh procedures. In the last few years, ionic liquids (ILs) have gained attention as a promising alternative solvent for fuel oil extractive denitrogenation. In this work, the Conductor-like Screening Model for Real Solvents (COSMO-RS) was used to screen 173 potential ILs as solvents for fuel oil. Two ILs (1-ethyl-3-methylimidazolium dicyanamide ([EMIM][N(CN)2]) and 1-ethyl-3-methylimidazolium methanesulfonate ([EMIM][MeSO3])) were selected for experimental investigation. The experimental liquid–liquid extraction of pyrrole (taken as the model nitrogen compound) from n-hexadecane (the model fuel) was conducted at 298 K and 1 atm with feed concentrations of pyrrole ranging from 10 to 50 wt%, using either the two pure ILs or their mixtures with dimethylformamide or ethylene glycol. Moreover, the NRTL model was effectively used to correlate the experimental tie lines. This work shows that the use of a binary mixture of ILs with a conventional solvent results in good selectivity, but has a low capacity for extracting pyrrole compounds. On the other hand, using an IL-IL mixture exhibits good results for both capacity and selectivity. All the ternary systems tested showed positive slopes, indicating that the nitrogen compounds had a higher affinity for the IL and binary mixture extract phase. In fact, the extraction efficiency for all the systems shows promising results. This characteristic is advantageous, as it requires less solvent to remove nitrogen compounds.

Funder

Deputyship for Research & Innovation, Ministry of Education of Saudi Arabia

Universiti Kebangsaan Malaysia

Publisher

MDPI AG

Subject

Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science

Reference40 articles.

1. Selective Adsorption for Removal of Nitrogen Compounds from Liquid Hydrocarbon Streams over Carbon- and Alumina-Based Adsorbents;Almarri;Ind. Eng. Chem. Res.,2009

2. Yang, L., Franco, V., Campestrini, A., German, J., and Mock, P. (2023, December 11). International Council on Clean Transportation Europe Neue Promenade 6, 10178 Berlin, Market Penetration and Experimental Performance Assessment. Sep. 2015. Available online: www.theicct.org.

3. Denitrogenation of middle distillates using adsorbent materials towards ULSD production: A review;Laredo;Fuel Process. Technol.,2013

4. Assessing Compositional Changes of Nitrogen Compounds during Hydrotreating of Typical Diesel Range Gas Oils Using a Novel Preconcentration Technique Coupled with Gas Chromatography and Atomic Emission Detection;Wiwel;Ind. Eng. Chem. Res.,2000

5. Ternary (liquid+liquid) equilibria for mixtures of (methanol+aniline+n-octane or n-dodecane) at T=298.15K;Nekoei;J. Chem. Thermodyn.,2008

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