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The Journal of Supercritical Fluids
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modeling of lipase-catalyzed oil hydrolysis in supercritical CO2 in a packed-bed reactor

Authors: Sovová, H. (Helena); Pleskač, O. (Ondřej); Sajfrtová, M. (Marie);

Modeling of lipase-catalyzed oil hydrolysis in supercritical CO2 in a packed-bed reactor

Abstract

Research on enzyme-catalyzed reactions of oils in supercritical CO2 (scCO(2)) aims at solvent-free natural products enriched in bioactive substances. Easy tailoring of scCO(2) properties and low mass transfer limitations belong to advantages of the method, which perspective of large-scale application depends on enzyme stability in scCO(2). Mathematical model for immobilized lipase-catalyzed vegetable oil hydrolysis in a continuous-flow reactor involves a slow reversible decrease of enzyme activity caused by glycerol retention in the enzyme bed. Reaction kinetics is modeled as pseudo-first-order and pseudo-second-order reversible hydrolysis of tri-, di-, and monoglycerides. Reaction rate constants and parameters of glycerol adsorption were estimated by fitting the model to previously published experimental data. Conditions of hydrolysis catalyzed by Lipozyme TL IM were pressure 10-30 MPa, temperature 30-50 degrees C, and scCO(2) flow rate-to-enzyme load ratio 2-120 g.g(-1) min(-1). The rate controlling step was hydrolysis of triglycerides with pressure and temperature dependent kinetic constant 100-230 min(-1).

Keywords

vegetable iol, immobilized enzyme, supercritical CO2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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