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Impact of Acetic Acid Supplementation in Polyhydroxyalkanoates Production by Cupriavidus necator Using
Pema Lhamo1, Biswanath Mahanty2
1Karunya Institute of Technology and Sciences, Coimbatore, India.
Applied Biochemistry and Biotechnology
|May 11, 2023
Summary
Acetic acid addition enhances polyhydroxyalkanoates (PHAs) production in Cupriavidus necator, with optimal yield achieved at 1 g/L. An artificial neural network model accurately predicted PHA concentration, guiding bioprocess optimization.
Area of Science:
- Biotechnology
- Microbial Production of Bioplastics
Background:
- Polyhydroxyalkanoates (PHAs) are gaining traction as biodegradable bioplastics.
- Cupriavidus necator is a key microorganism for PHA synthesis.
Purpose of the Study:
- To investigate the impact of acetic acid concentration and addition timing on PHA production by Cupriavidus necator.
- To develop a predictive model for optimizing PHA yield.
Main Methods:
- Mixture-process design incorporating acetic acid and sucrose.
- Optimization using a genetic algorithm-optimized artificial neural network (GA-ANN).
- Sensitivity analysis to determine predictor effects.
Main Results:
- Acetic acid at 1 g/L positively influenced biomass and PHA yield; higher concentrations were inhibitory.
- Early acetic acid addition favored PHA yield, while later addition (48h) maximized biomass.
- The GA-ANN model achieved high accuracy (R²: 0.935) in predicting PHA concentration.
Conclusions:
- Optimal conditions for PHA production were identified using GA-ANN modeling.
- The developed model can guide further optimization of PHA bioproduction processes, including fed-batch operations.
