### Abstract

A brief introduction of the data sources and the applications of correlation methods for the solubilities and diffusion coefficients of hig-boiling compounds (mainly in solid state) in supercritical carbon dioxide are reviewed. Empirical equations, equations of state, solution models, and the Monte Carlo simulation for the calculation of solubilities in supercritical carbon dioxide are discussed. The application of empirical equation based on the Stokes-Einstein model, rough hard sphere theory, Schmidt number correlation, and molecular dynamics simulation for the calculation of diffusion coefficients in supercritical carbon dioxide at infinite dilution condition are reviewed. Further, the application of the Darken equation and the Leffler and Cullinan equation for the calculation of concentration dependence of diffusion coefficients in supercritical carbon dioxide is presented.

Original language | English |
---|---|

Pages (from-to) | 3027-3044 |

Number of pages | 18 |

Journal | Chemical Engineering Science |

Volume | 56 |

Issue number | 10 |

DOIs | |

Publication status | Published - Jun 12 2001 |

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### All Science Journal Classification (ASJC) codes

- Chemistry(all)
- Chemical Engineering(all)
- Industrial and Manufacturing Engineering

### Cite this

*Chemical Engineering Science*,

*56*(10), 3027-3044. https://doi.org/10.1016/S0009-2509(01)00003-3

**Solubilities and diffusion coefficients of high boiling compounds in supercritical carbon dioxide.** / Higashi, Hidenori; Iwai, Yoshio; Arai, Yasuhiko.

Research output: Contribution to journal › Review article

*Chemical Engineering Science*, vol. 56, no. 10, pp. 3027-3044. https://doi.org/10.1016/S0009-2509(01)00003-3

}

TY - JOUR

T1 - Solubilities and diffusion coefficients of high boiling compounds in supercritical carbon dioxide

AU - Higashi, Hidenori

AU - Iwai, Yoshio

AU - Arai, Yasuhiko

PY - 2001/6/12

Y1 - 2001/6/12

N2 - A brief introduction of the data sources and the applications of correlation methods for the solubilities and diffusion coefficients of hig-boiling compounds (mainly in solid state) in supercritical carbon dioxide are reviewed. Empirical equations, equations of state, solution models, and the Monte Carlo simulation for the calculation of solubilities in supercritical carbon dioxide are discussed. The application of empirical equation based on the Stokes-Einstein model, rough hard sphere theory, Schmidt number correlation, and molecular dynamics simulation for the calculation of diffusion coefficients in supercritical carbon dioxide at infinite dilution condition are reviewed. Further, the application of the Darken equation and the Leffler and Cullinan equation for the calculation of concentration dependence of diffusion coefficients in supercritical carbon dioxide is presented.

AB - A brief introduction of the data sources and the applications of correlation methods for the solubilities and diffusion coefficients of hig-boiling compounds (mainly in solid state) in supercritical carbon dioxide are reviewed. Empirical equations, equations of state, solution models, and the Monte Carlo simulation for the calculation of solubilities in supercritical carbon dioxide are discussed. The application of empirical equation based on the Stokes-Einstein model, rough hard sphere theory, Schmidt number correlation, and molecular dynamics simulation for the calculation of diffusion coefficients in supercritical carbon dioxide at infinite dilution condition are reviewed. Further, the application of the Darken equation and the Leffler and Cullinan equation for the calculation of concentration dependence of diffusion coefficients in supercritical carbon dioxide is presented.

UR - http://www.scopus.com/inward/record.url?scp=0035329655&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035329655&partnerID=8YFLogxK

U2 - 10.1016/S0009-2509(01)00003-3

DO - 10.1016/S0009-2509(01)00003-3

M3 - Review article

AN - SCOPUS:0035329655

VL - 56

SP - 3027

EP - 3044

JO - Chemical Engineering Science

JF - Chemical Engineering Science

SN - 0009-2509

IS - 10

ER -