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Impulse response techniques to measure binary diffusion coefficients under supercritical conditions.

Toshitaka Funazukuri1, Chang Yi Kong, Seiichiro Kagei

  • 1Department of Applied Chemistry, Institute of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan. funazo@chem.chuo-u.ac.jp

Journal of Chromatography. A
|June 25, 2004
PubMed
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This review covers impulse response techniques for measuring thermodynamic properties like diffusion coefficients under supercritical conditions. It details methods, error sources, and data for accurate property determination.

Area of Science:

  • Thermodynamics
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Supercritical fluids offer unique solvent properties for chemical processes.
  • Accurate measurement of thermodynamic properties is crucial for process design and optimization.
  • Impulse response techniques provide a powerful tool for probing transport phenomena.

Purpose of the Study:

  • To review impulse response techniques for measuring thermodynamic properties under supercritical conditions.
  • To discuss theoretical background, parameter sensitivity, and sources of experimental error.
  • To present data sources and predictive correlations for binary diffusion coefficients.

Main Methods:

  • Utilizes curve-fitting methods applied to impulse response data.

Related Experiment Videos

  • Addresses noise elimination and correction of apparent diffusion coefficients.
  • Analyzes parameter sensitivity and experimental error sources.

    • Main Results:

    • Demonstrates the capability of impulse response techniques to measure key thermodynamic properties.
    • Provides insights into factors affecting measurement accuracy, including column coiling.
    • Compiles data sources and predictive correlations for binary diffusion coefficients.

    Conclusions:

    • Impulse response techniques, coupled with curve-fitting, are effective for supercritical property measurements.
    • Understanding and mitigating experimental errors are essential for reliable data.
    • The review offers valuable resources for researchers and engineers in the field.