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Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches
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Scale-up of batch kinetic models.

Maryann Ehly1, Paul J Gemperline, Alison Nordon

  • 1Department of Chemistry, East Carolina University, Greenville, NC 27858, USA.

Analytica Chimica Acta
|July 4, 2007
PubMed
Summary

This study successfully scaled up batch kinetic models for esterification reactions. The findings confirm reliable prediction of reaction parameters and concentrations across different reactor sizes.

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Area of Science:

  • Chemical Engineering
  • Reaction Kinetics
  • Process Scale-up

Background:

  • Batch kinetic models are crucial for chemical process design and optimization.
  • Accurate scale-up of these models from laboratory to industrial scale remains a challenge.
  • Spectroscopic techniques offer real-time reaction monitoring capabilities.

Purpose of the Study:

  • To investigate the successful scale-up of batch kinetic models for esterification reactions.
  • To evaluate the performance of first-principles kinetic models fitted to spectroscopic data.
  • To validate model-predicted parameters and concentrations against experimental data.

Main Methods:

  • Batch esterification reactions were conducted in 75 mL and 5 L reactors.
  • In-line Near-Infrared (NIR) and Raman spectroscopy were employed for real-time data acquisition.
  • A custom MATLAB toolbox (GUIPRO) was used to fit kinetic models to spectroscopic data.
  • Second-order kinetic models were utilized for calibration-free parameter estimation.

Main Results:

  • Second-order kinetic models accurately estimated kinetic and thermodynamic parameters, concentration profiles, and pure component spectra.
  • Estimated parameters showed good agreement between small-scale (75 mL) and large-scale (5 L) reactors.
  • Model-predicted concentrations and spectral profiles were validated against off-line Gas Chromatography (GC) and spectroscopic measurements.
  • Calibration-free estimation of reaction parameters was achieved.

Conclusions:

  • The scale-up of batch kinetic models for esterification reactions was demonstrated to be successful.
  • First-principles kinetic modeling combined with spectroscopic data provides a robust approach for process characterization and scale-up.
  • The GUIPRO toolbox and second-order kinetic models offer a reliable, calibration-free method for predicting reaction behavior at larger scales.