Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents

Separation of styrene from ethylbenzene is challenging because of their close boiling points and similar chemical characteristics. In this study, we utilized three ammonium-based deep eutectic solvents (DESs) with glycols as hydrogen bond donors to separate styrene from ethylbenzene via liquid-liqui...

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Main Authors: Mulyono, Sarwono, Hizaddin, Hanee Farzana, Wazeer, Irfan, Alqusair, Omar, Ali, Emad, Hashim, Mohd Ali, Hadj-Kali, Mohamed K.
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Published: Elsevier 2019
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Online Access:http://eprints.um.edu.my/23940/
https://doi.org/10.1016/j.jct.2019.04.003
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spelling my.um.eprints.239402020-03-03T08:17:52Z http://eprints.um.edu.my/23940/ Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents Mulyono, Sarwono Hizaddin, Hanee Farzana Wazeer, Irfan Alqusair, Omar Ali, Emad Hashim, Mohd Ali Hadj-Kali, Mohamed K. TP Chemical technology Separation of styrene from ethylbenzene is challenging because of their close boiling points and similar chemical characteristics. In this study, we utilized three ammonium-based deep eutectic solvents (DESs) with glycols as hydrogen bond donors to separate styrene from ethylbenzene via liquid-liquid extraction at room temperature and atmospheric pressure, with styrene concentration in the feed mixture ranging from (10 to 80) wt%. Consistency of the experimental data was ascertained by Othmer-Tobias and Hand correlations, and the NRTL binary interaction parameters were also validated for thermodynamic consistency. Distribution ratios of styrene were found to be comparable to that obtained using ionic liquids, although the selectivity values were much lower. The ternary liquid-liquid equilibria for the systems {ethylbenzene (1) + styrene (2) + DES (3)} were correlated with the NRTL model and predicted using the COSMO-RS approach. The average RMSD from the experimental data for NRTL correlation is 1.41% and for COSMO-RS prediction is 4.74%. © 2019 Elsevier Ltd Elsevier 2019 Article PeerReviewed Mulyono, Sarwono and Hizaddin, Hanee Farzana and Wazeer, Irfan and Alqusair, Omar and Ali, Emad and Hashim, Mohd Ali and Hadj-Kali, Mohamed K. (2019) Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents. The Journal of Chemical Thermodynamics, 135. pp. 296-304. ISSN 0021-9614 https://doi.org/10.1016/j.jct.2019.04.003 doi:10.1016/j.jct.2019.04.003
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Mulyono, Sarwono
Hizaddin, Hanee Farzana
Wazeer, Irfan
Alqusair, Omar
Ali, Emad
Hashim, Mohd Ali
Hadj-Kali, Mohamed K.
Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
description Separation of styrene from ethylbenzene is challenging because of their close boiling points and similar chemical characteristics. In this study, we utilized three ammonium-based deep eutectic solvents (DESs) with glycols as hydrogen bond donors to separate styrene from ethylbenzene via liquid-liquid extraction at room temperature and atmospheric pressure, with styrene concentration in the feed mixture ranging from (10 to 80) wt%. Consistency of the experimental data was ascertained by Othmer-Tobias and Hand correlations, and the NRTL binary interaction parameters were also validated for thermodynamic consistency. Distribution ratios of styrene were found to be comparable to that obtained using ionic liquids, although the selectivity values were much lower. The ternary liquid-liquid equilibria for the systems {ethylbenzene (1) + styrene (2) + DES (3)} were correlated with the NRTL model and predicted using the COSMO-RS approach. The average RMSD from the experimental data for NRTL correlation is 1.41% and for COSMO-RS prediction is 4.74%. © 2019 Elsevier Ltd
format Article
author Mulyono, Sarwono
Hizaddin, Hanee Farzana
Wazeer, Irfan
Alqusair, Omar
Ali, Emad
Hashim, Mohd Ali
Hadj-Kali, Mohamed K.
author_facet Mulyono, Sarwono
Hizaddin, Hanee Farzana
Wazeer, Irfan
Alqusair, Omar
Ali, Emad
Hashim, Mohd Ali
Hadj-Kali, Mohamed K.
author_sort Mulyono, Sarwono
title Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
title_short Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
title_full Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
title_fullStr Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
title_full_unstemmed Liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
title_sort liquid-liquid equilibria data for the separation of ethylbenzene/styrene mixtures using ammonium-based deep eutectic solvents
publisher Elsevier
publishDate 2019
url http://eprints.um.edu.my/23940/
https://doi.org/10.1016/j.jct.2019.04.003
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