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Published on: December 15, 2017
Statistical optimization of process parameters for exopolysaccharide production by Aureobasidium pullulans using
Sethuraman Padmanaban1, Nagarajan Balaji1, Chandrasekaran Muthukumaran2
1Department of Biotechnology, Madha Engineering College, Kundrathur, Chennai, 600069, Tamilnadu, India.
This study optimized exopolysaccharide (EPS) production using statistical designs. Sweet potato and yeast extract were identified as key ingredients for maximizing EPS yield in fermentation.
Area of Science:
- Biotechnology
- Microbial Fermentation
- Biochemistry
Background:
- Exopolysaccharides (EPS) are crucial biopolymers with diverse applications.
- Optimizing fermentation media is essential for efficient EPS production.
- Identifying cost-effective substrates is key for industrial scalability.
Purpose of the Study:
- To optimize the fermentation medium for enhanced exopolysaccharide (EPS) production.
- To identify significant medium components influencing EPS yield.
- To determine the optimal conditions for maximum EPS biosynthesis.
Main Methods:
- Statistical experimental designs, including Plackett-Burman and Central Composite designs, were employed.
- Seven medium variables were screened to identify significant factors for EPS production.
- Optimization of key variables (sweet potato, yeast extract, pH, time) was performed using response surface methodology.
Main Results:
- Sweet potato and yeast extract were identified as significant variables for EPS production.
- Maximum EPS yield of 9.3 g/L was achieved under optimized conditions.
- A high coefficient of determination (R 2 = 0.97) indicated a well-fitted model for EPS production.
Conclusions:
- Sweet potato serves as a low-cost and effective substrate for pullulan production via submerged fermentation.
- Optimized fermentation parameters significantly enhance exopolysaccharide yield.
- Statistical experimental designs are valuable tools for microbial fermentation optimization.
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