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Related Experiment Video

Updated: Jul 4, 2026

Preparation of Functional Silica Using a Bioinspired Method

Preparation of Functional Silica Using a Bioinspired Method

Published on: August 1, 2018

Modeling enzyme immobilization in porous solid supports.

D D Do¹, D S Clark, J E Bailey

¹Department of Chemical Engineering, California Institute of Technology, Pasadena, California 91125.

Biotechnology and Bioengineering

|July 1, 1982

Summary

This summary is machine-generated.

This study models enzyme immobilization in porous solids, revealing how process parameters affect enzyme loading and distribution. Understanding this distribution is key for optimizing immobilized enzyme catalyst performance and stability.

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Hydrophobic Salt-modified Nafion for Enzyme Immobilization and Stabilization

Hydrophobic Salt-modified Nafion for Enzyme Immobilization and Stabilization

Published on: July 11, 2012

Area of Science:

Biochemical Engineering
Materials Science
Chemical Engineering

Background:

Enzyme immobilization on porous solids is crucial for catalyst development.
The process involves simultaneous mass transfer and surface binding of enzymes.
Controlling enzyme distribution within the support is vital for catalyst efficacy.

Purpose of the Study:

To develop a mathematical model for enzyme impregnation into porous supports.
To investigate the impact of process parameters on enzyme loading and distribution.
To analyze the significance of enzyme distribution for catalyst performance.

Main Methods:

Development of a coupled transient mass transfer and surface attachment model.
Simulation of enzyme impregnation into porous support particles.
Analysis of the influence of various process parameters on immobilization outcomes.

Main Results:

Mathematical model predicts enzyme loading and distribution within porous supports.
Identified process conditions leading to nonuniform enzyme loading.
Demonstrated the link between enzyme distribution and catalyst activity/stability.

Conclusions:

The developed model accurately describes enzyme immobilization dynamics.
Nonuniform enzyme distribution can significantly impact catalyst performance.
The model can guide optimization of enzyme immobilization processes and catalyst utilization.