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Simple and global correlation for the densities of deep eutectic solvents
- Source :
- Journal of Molecular Liquids. 296:111830
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Deep eutectic solvents (DESs) mostly comply with the principles of green chemistry. Therefore, they are being widely investigated due to their great potential for a variety of applications in the industries. However, it is necessary to have accurate (thermo)-physical property information on any solvent before it can pave its way into the industries. Among such properties, density as a function of temperature is one of the most important. In this study, a simple, accurate and global correlation is proposed to estimate the densities of a large number of DESs of different natures. The proposed model is a function of the critical temperature, critical volume and acentric factor of the DES, as well as the temperature of the system. In this way, the model is capable of accurately predicting the densities of DESs without the need for any reference temperature density data, in contrast to most of the literature models that do require a reference data point. The average relative error for 149 DESs of different natures was estimated to be 3.12% by the proposed model, indicating its accuracy compared to previous models.
- Subjects :
- Materials science
Reference data (financial markets)
02 engineering and technology
Function (mathematics)
010402 general chemistry
021001 nanoscience & nanotechnology
Condensed Matter Physics
01 natural sciences
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Electronic, Optical and Magnetic Materials
Physical property
Molar volume
Approximation error
Acentric factor
Materials Chemistry
Point (geometry)
Statistical physics
Physical and Theoretical Chemistry
0210 nano-technology
Spectroscopy
Eutectic system
Subjects
Details
- ISSN :
- 01677322
- Volume :
- 296
- Database :
- OpenAIRE
- Journal :
- Journal of Molecular Liquids
- Accession number :
- edsair.doi...........bc5df643610e46953c31ba662f745704
- Full Text :
- https://doi.org/10.1016/j.molliq.2019.111830