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Experimental kS estimation: A comparison of methods for Corynebacterium glutamicum from lab to microfluidic scale
Heiko Steinhoff1,2, Maurice Finger3, Michael Osthege4,5
1Multiscale Bioengineering, Bielefeld University, Bielefeld, Germany.
Biotechnology and Bioengineering
|February 6, 2023
Summary
Accurately determining substrate affinity (kS) is vital for bioreactor growth. A new microfluidic single-cell cultivation method provides more precise kS estimations for Corynebacterium glutamicum compared to existing techniques.
Area of Science:
- Biotechnology
- Microbial Physiology
- Bioprocess Engineering
Background:
- Substrate affinity (kS) is a critical parameter for understanding microbial growth kinetics in bioreactors.
- Current methods for kS estimation, such as uptake rates or respiratory data, have limitations in precision and scope.
- Accurate kS values are essential for optimizing bioprocesses and characterizing microbial strains.
Purpose of the Study:
- To apply and evaluate a novel substrate-limited microfluidic single-cell cultivation (sl-MSCC) method for estimating kS values.
- To benchmark the sl-MSCC method against established microtiter plate methods: high-frequency biomass measurement (HFB) and substrate-limited respiratory activity monitoring (sl-RA).
- To investigate the substrate affinity (kS) of Corynebacterium glutamicum ATCC 13032 for glucose using the sl-MSCC method.
Main Methods:
- Utilized a substrate-limited microfluidic single-cell cultivation (sl-MSCC) technique for precise kS determination.
- Compared sl-MSCC results with high-frequency biomass measurement (HFB) and substrate-limited respiratory activity monitoring (sl-RA) in microtiter plates.
- Assessed Monod-type growth response for Corynebacterium glutamicum ATCC 13032 with glucose as the substrate.
Main Results:
- The sl-MSCC method yielded a kS value of 2.66 ± 0.99 mg/L for Corynebacterium glutamicum regarding glucose.
- HFB provided a kS estimate of <70.7 mg/L (95% probability), and sl-RA yielded 8.55 ± 1.38 mg/L.
- sl-MSCC demonstrated higher precision and enabled affinity estimation at lower substrate concentrations compared to HFB and sl-RA.
Conclusions:
- The sl-MSCC method offers a more accurate and sensitive approach for estimating substrate affinity (kS) compared to HFB and sl-RA.
- sl-MSCC facilitates strain-specific kS estimations under defined conditions and provides insights into cell-to-cell heterogeneity.
- This advanced method lays the groundwork for improved characterization of microbial growth dynamics in bioprocesses.
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