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High gradient magnetic separation of yeast.
1Department of Chemical Engineering, Washington University, St Louis, Missouri 63130, USA.
Biotechnology and Bioengineering
|May 1, 1991
Summary
This study demonstrates a novel seeding technique using magnetic nanoparticles to separate nonmagnetic yeast cells. The developed model accurately predicts yeast separation in high gradient magnetic separation systems.
Area of Science:
- Biotechnology
- Biophysics
- Materials Science
Background:
- Nonmagnetic microorganisms pose separation challenges in various industrial and research applications.
- Traditional separation methods can be inefficient or costly.
- Magnetic separation offers a promising alternative if nonmagnetic particles can be rendered magnetic.
Purpose of the Study:
- To develop and validate a predictive model for separating nonmagnetic yeast cells using high gradient magnetic separation (HGMS).
- To investigate the effectiveness of a seeding technique employing gamma-Fe(2)O(3) nanoparticles for yeast magnetic labeling.
- To assess the influence of magnetic seed concentration and flow rate on separation efficiency.
Main Methods:
- Utilized sub-micron, acicular gamma-Fe(2)O(3) nanoparticles for seeding yeast cells, rendering them magnetic.
- Developed a mathematical model incorporating a magnetic parameter (gamma) to predict yeast separation based on magnetic attraction and inertial forces.
- Conducted experiments using Saccharomyces cerevisiae in a high gradient magnetic separator at varying seed concentrations and flow rates.
Main Results:
- The attachment of gamma-Fe(2)O(3) seed to yeast surfaces was found to be irreversible and independent of solution pH and surface charge.
- The developed model, using the magnetic parameter gamma, successfully predicted yeast separation efficiency.
- Experimental results at different magnetic seed concentrations and flow rates validated the predictive model.
Conclusions:
- The seeding technique effectively imparts magnetic properties to nonmagnetic yeast cells for HGMS.
- The developed model provides a reliable method for predicting yeast separation in HGMS units.
- This approach offers a scalable and efficient solution for separating nonmagnetic microorganisms.
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