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Related Experiment Videos

Modeling continuous aqueous two-phase systems for control purposes.

Laurent Simon1, Shalini Gautam

  • 1Otto H. York Department of Chemical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA. laurent.simon@njit.edu

Journal of Chromatography. A
|August 28, 2004
PubMed
Summary

A new mathematical model analyzes aqueous two-phase systems, aiding in the dynamic control of extraction units. This method accurately predicts system behavior for improved process management.

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Area of Science:

  • Chemical Engineering
  • Process Systems Engineering
  • Bioseparations

Background:

  • Aqueous two-phase systems (ATPS) are crucial for bioseparations.
  • Analyzing steady-state and transient behaviors of ATPS is complex due to numerous variables.
  • Accurate modeling is essential for optimizing large-scale extraction processes.

Purpose of the Study:

  • To develop and validate a mathematical model for analyzing single-stage continuous ATPS.
  • To implement a computational method for solving the model equations.
  • To assess the model's utility in predicting system dynamics and aiding process control.

Main Methods:

  • Developed a least-squares-based program to solve an overdetermined system of equations.
  • Utilized a constrained optimization procedure from MATLAB's Optimization Toolbox.

Related Experiment Videos

  • Applied Euler's method for discretizing differential equations in transient analysis.
  • Tested the model with a thaumatin/NaCl/contaminant protein system in a PEG/phosphate/water ATPS.

    • Main Results:

    • The model accurately predicted steady-state concentrations compared to published data.
    • Transient analysis demonstrated that output variables (e.g., salt concentrations) reach steady states at different times.
    • A 4% step change in flow rate showed distinct settling times for different components.

    Conclusions:

    • The proposed mathematical model effectively analyzes both steady-state and transient behaviors of ATPS.
    • The computational approach provides a robust method for solving complex ATPS models.
    • This analysis offers valuable insights for the dynamic control of industrial-scale ATPS extractors.