Optimization of medium composition for cis,cis-muconic acid production by a Pseudomonas sp. mutant using statistical...

Area of Science:

• Biotechnology and Bioengineering
• Microbial Fermentation
• Metabolic Engineering

Background:

• cis,cis-Muconic acid (CCMA) is a valuable platform chemical derived from benzoate.
• Efficient microbial production of CCMA is crucial for its industrial application.
• Optimization of fermentation media is key to enhancing CCMA yields.

Purpose of the Study:

• To optimize the medium composition for enhanced cis,cis-Muconic acid (CCMA) production from benzoate using statistical methodologies.
• To identify significant medium components influencing CCMA yield in Pseudomonas sp. 1167.
• To establish conditions for a cost-competitive industrial fermentation process.

Main Methods:

• Utilized Plackett-Burman design (PBD) to screen significant medium components.
• Employed steepest ascent design (SAD) and central composite design (CCD) for optimization.
• Conducted validation experiments to confirm predicted optimal conditions.

Main Results:

• Identified (NH(4))(2)SO(4) and K(2)HPO(4)·3H(2)O as significant factors for CCMA production.
• Achieved a maximum CCMA yield of 7.18 g/L from 12 g/L benzoate under optimized conditions.
• Attained a high molecular conversion yield of 61% within 11 hours.

Conclusions:

• Statistical optimization of medium composition significantly enhances CCMA production efficiency.
• The optimized medium supports a highly efficient fermentation process for CCMA.
• Findings support the development of cost-competitive industrial fed-batch fermentation using benzoate.