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Estimation of PHA concentrations from cell density data in Cupriavidus necator
Lena Kranert1, Rudolph Kok2, Anna-Sophie Neumann2
1Institute for Automation Engineering, Otto von Guericke University, Magdeburg, Germany. lena.kranert@ovgu.de.
Applied Microbiology and Biotechnology
|January 18, 2025
Summary
A new mathematical model estimates polyhydroxyalkanoate (PHA) concentrations using simple optical density measurements. This flexible approach helps monitor biopolymer production, even with varying conditions, for improved efficiency.
Area of Science:
- Biotechnology
- Polymer Science
- Microbial Production
Background:
- Plastic pollution necessitates sustainable alternatives like biodegradable and biobased polymers.
- Polyhydroxyalkanoates (PHAs) are promising biopolymers producible by microorganisms.
- Variability in PHA production necessitates real-time monitoring methods.
Purpose of the Study:
- To develop a flexible, data-driven mathematical model for estimating PHA concentrations.
- To correlate PHA concentration with optical density (OD) measurements at 600 nm.
- To enable online monitoring and control of biopolymer production processes.
Main Methods:
- A simple mathematical model was developed correlating PHA concentration with OD600.
- The model's flexibility was tested by updating the correlation for different cultivation conditions.
- The approach was validated for poly(3-hydroxybutyrate) (PHB) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) production in Cupriavidus necator.
Main Results:
- A data-driven model successfully estimated PHA concentrations using OD600.
- The study confirmed that the correlation requires updates for varying cultivation conditions.
- The method proved effective for PHB and PHBV production using fructose and propionic acid.
Conclusions:
- The developed flexible approach offers a simple estimation of PHA concentrations.
- Online monitoring of PHA via OD600 can help manage batch-to-batch variations.
- This method can enhance biopolymer production when integrated with advanced control strategies.
