Abstract
The scale-up of batch kinetic models was studied by examining the kinetic fitting results of batch esterification reactions completed in 75 mL and 5 L reactors. Different temperatures, amounts of catalysts, and amounts of initial starting reagents were used to completely characterize the reaction. A custom written Matlab toolbox called GUIPRO was used to fit first-principles kinetic models directly to in-line NIR and Raman spectroscopic data. Second-order kinetic models provided calibration-free estimates of kinetic and thermodynamic reaction parameters, time dependent concentration profiles, and pure component spectra of reagents and product. The estimated kinetic and thermodynamic parameters showed good agreement between small-scale and large-scale reactions. The accuracy of pure component spectra estimates was validated by comparison to collected NIR and Raman pure component spectra. The model estimated product concentrations were also validated by comparison to concentrations measured by off-line GC analysis. Based on the good agreement between kinetic and thermodynamic parameters and comparison between actual and estimated concentration and spectral profiles, it was concluded that the scale-up of batch kinetic models was successful.
Original language | English |
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Pages (from-to) | 80-88 |
Number of pages | 9 |
Journal | Analytica Chimica Acta |
Volume | 595 |
Issue number | 1-2 |
Early online date | 22 Feb 2007 |
DOIs | |
Publication status | Published - 9 Jul 2007 |
Event | 10th Annual Conference on Chemometrics in Analytical Chemistry - Campinas, Brazil Duration: 10 Sept 2006 → 14 Sept 2006 |
Keywords
- reaction modeling
- online spectroscopy
- nonlinear regression
- reaction kinetics
- model scale-up