TY - JOUR
T1 - Computational investigation of the microstructural characteristics and physical properties of glycerol-based deep eutectic solvents
AU - Aissaoui, Tayeb
AU - Benguerba, Yacine
AU - AlOmar, Mohamed Khalid
AU - AlNashef, Inas M.
N1 - Funding Information:
Acknowledgements The authors of the article would like to acknowledge the Department of Processes Engineering, Université Ferhat Abbas, Algeria and the Department of Chemical Engineering, Khalifa University for Science and Technology, United Arab Emirates for supporting this work.
Publisher Copyright:
© 2017, Springer-Verlag GmbH Germany.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Recently, there has been significant interest in the possibility of using deep eutectic solvents (DESs) as novel green media and alternatives to conventional solvents and ionic liquids (ILs) in many applications. Due to their attractive properties, such as their biodegradability, low cost, easy preparation, and nontoxicity, DESs appear to be very promising solvents for use in the field of green chemistry. This computational study investigated six glycerol-based DESs: DES1 (glycerol:methyl triphenyl phosphonium bromide), DES2 (glycerol:benzyl triphenyl phosphonium chloride), DES3 (glycerol:allyl triphenyl phosphonium bromide), DES4 (glycerol:choline chloride), DES5 (glycerol:N,N-diethylethanolammonium chloride), and DES6 (glycerol:tetra-n-butylammonium bromide). The chemical structures and combination mechanisms as well as the sigma profiles and sigma potentials of the studied DESs were explored in detail. Moreover, density, viscosity, vapor pressure, and IR analytical data were predicted and compared with the corresponding experimental values reported in the literature for these DESs. To achieve these goals, the conductor-like screening model for realistic solvents (COSMO-RS) and the Amsterdam Density Functional (ADF) software package were used. The predicted results were found to be in good agreement with the corresponding experimental values reported in the literature. Further theoretical investigations are needed to confirm the experimental results—regarding both properties and applications—reported for these DESs.
AB - Recently, there has been significant interest in the possibility of using deep eutectic solvents (DESs) as novel green media and alternatives to conventional solvents and ionic liquids (ILs) in many applications. Due to their attractive properties, such as their biodegradability, low cost, easy preparation, and nontoxicity, DESs appear to be very promising solvents for use in the field of green chemistry. This computational study investigated six glycerol-based DESs: DES1 (glycerol:methyl triphenyl phosphonium bromide), DES2 (glycerol:benzyl triphenyl phosphonium chloride), DES3 (glycerol:allyl triphenyl phosphonium bromide), DES4 (glycerol:choline chloride), DES5 (glycerol:N,N-diethylethanolammonium chloride), and DES6 (glycerol:tetra-n-butylammonium bromide). The chemical structures and combination mechanisms as well as the sigma profiles and sigma potentials of the studied DESs were explored in detail. Moreover, density, viscosity, vapor pressure, and IR analytical data were predicted and compared with the corresponding experimental values reported in the literature for these DESs. To achieve these goals, the conductor-like screening model for realistic solvents (COSMO-RS) and the Amsterdam Density Functional (ADF) software package were used. The predicted results were found to be in good agreement with the corresponding experimental values reported in the literature. Further theoretical investigations are needed to confirm the experimental results—regarding both properties and applications—reported for these DESs.
KW - ADF
KW - Chemical structure
KW - Computational chemistry
KW - Cosmo-RS
KW - Deep eutectic solvents
KW - Glycerol
UR - http://www.scopus.com/inward/record.url?scp=85029500882&partnerID=8YFLogxK
U2 - 10.1007/s00894-017-3450-5
DO - 10.1007/s00894-017-3450-5
M3 - Article
C2 - 28913646
AN - SCOPUS:85029500882
SN - 1610-2940
VL - 23
JO - Journal of Molecular Modeling
JF - Journal of Molecular Modeling
IS - 10
M1 - 277
ER -