Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach

The concept of sustainable and green solvent has always highlighted in the field of energy and environmental science. The synthesis and application of natural-based Low Transition Temperature Mixture (LTTM) as a novel and green solvent for the lignocellulose biomass pre-treatment such as delignifica...

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Main Authors: N R, Yusuf, S, Yusup, Chung Loong, Yiin, P J, Ratri, A A, Halim, N A, Razak
Format: Proceeding
Language:English
Published: 2021
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Online Access:http://ir.unimas.my/id/eprint/36543/1/solvation1.pdf
http://ir.unimas.my/id/eprint/36543/
https://iopscience.iop.org/article/10.1088/1757-899X/1195/1/012006
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spelling my.unimas.ir.365432021-11-03T01:40:20Z http://ir.unimas.my/id/eprint/36543/ Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach N R, Yusuf S, Yusup Chung Loong, Yiin P J, Ratri A A, Halim N A, Razak TA Engineering (General). Civil engineering (General) TP Chemical technology The concept of sustainable and green solvent has always highlighted in the field of energy and environmental science. The synthesis and application of natural-based Low Transition Temperature Mixture (LTTM) as a novel and green solvent for the lignocellulose biomass pre-treatment such as delignification of Oil-Palm Empty Fruit Bunch (EFB) have been greatly emphasized. In this present work, the investigation of LTTM efficiency as green solvent in delignification process was conducted using both theoretical and experimental studies. Initially, screening of solvation properties of different types of hydrogen bond acceptor (HBA) and predicted hydrogen bond donor (HBD) for synthesis of LTTMs was conducted using conductor-like screening model (COSMO-RS) software and formation of hydrogen bonding was evidenced using NMR spectroscopy analysis. Three types of HBA namely sucrose, choline chloride and monosodium glutamate were mixed with malic acids as HBD and their charge density distribution on the surface was determined through sigma profile (σ). The COSMO-RS results determined the σ profile of pure component malic acid to be 11.42, sucrose to be 25.37 and the total value of σ profile for mixtures is 14.19 as the best combination of LTTM composition compared to LTTM from choline chloride and monosodium glutamate (MSG). The reliability of the COSMO-RS predictions data was correlated with Nuclear Magnetic Resonance (NMR) analysis through determination of peaks with chemical shifts hydrogen bonding that suggested existence of potential interaction between malic acids and sucrose has occurred. 2021 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/36543/1/solvation1.pdf N R, Yusuf and S, Yusup and Chung Loong, Yiin and P J, Ratri and A A, Halim and N A, Razak (2021) Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach. In: 32nd Symposium of Malaysian Chemical Engineers (SOMChE2021), 15th-16th July 2021, Kuching, Sarawak. https://iopscience.iop.org/article/10.1088/1757-899X/1195/1/012006
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle TA Engineering (General). Civil engineering (General)
TP Chemical technology
N R, Yusuf
S, Yusup
Chung Loong, Yiin
P J, Ratri
A A, Halim
N A, Razak
Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
description The concept of sustainable and green solvent has always highlighted in the field of energy and environmental science. The synthesis and application of natural-based Low Transition Temperature Mixture (LTTM) as a novel and green solvent for the lignocellulose biomass pre-treatment such as delignification of Oil-Palm Empty Fruit Bunch (EFB) have been greatly emphasized. In this present work, the investigation of LTTM efficiency as green solvent in delignification process was conducted using both theoretical and experimental studies. Initially, screening of solvation properties of different types of hydrogen bond acceptor (HBA) and predicted hydrogen bond donor (HBD) for synthesis of LTTMs was conducted using conductor-like screening model (COSMO-RS) software and formation of hydrogen bonding was evidenced using NMR spectroscopy analysis. Three types of HBA namely sucrose, choline chloride and monosodium glutamate were mixed with malic acids as HBD and their charge density distribution on the surface was determined through sigma profile (σ). The COSMO-RS results determined the σ profile of pure component malic acid to be 11.42, sucrose to be 25.37 and the total value of σ profile for mixtures is 14.19 as the best combination of LTTM composition compared to LTTM from choline chloride and monosodium glutamate (MSG). The reliability of the COSMO-RS predictions data was correlated with Nuclear Magnetic Resonance (NMR) analysis through determination of peaks with chemical shifts hydrogen bonding that suggested existence of potential interaction between malic acids and sucrose has occurred.
format Proceeding
author N R, Yusuf
S, Yusup
Chung Loong, Yiin
P J, Ratri
A A, Halim
N A, Razak
author_facet N R, Yusuf
S, Yusup
Chung Loong, Yiin
P J, Ratri
A A, Halim
N A, Razak
author_sort N R, Yusuf
title Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
title_short Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
title_full Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
title_fullStr Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
title_full_unstemmed Prediction of solvation properties of low transition temperature mixtures (LTTMs) using COSMO-RS and NMR approach
title_sort prediction of solvation properties of low transition temperature mixtures (lttms) using cosmo-rs and nmr approach
publishDate 2021
url http://ir.unimas.my/id/eprint/36543/1/solvation1.pdf
http://ir.unimas.my/id/eprint/36543/
https://iopscience.iop.org/article/10.1088/1757-899X/1195/1/012006
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score 13.211869