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Enhanced production of amidase from Rhodococcus erythropolis MTCC 1526 by medium optimisation using a statistical
Bhalchandra K Vaidya1, Snehal R Mutalik, Renuka M Joshi
1Biochemical Engineering Department, Chemical Engineering and Process Development Division, National Chemical Laboratory, Pune, India. bk.vaidya@rediffmail.com
Researchers optimized amidase production from Rhodococcus erythropolis MTCC 1526 using statistical methods. Response surface methodology significantly enhanced enzyme yield by 6.88-fold, achieving 1,086.57 units/g dry cells.
Area of Science:
- Biotechnology
- Enzyme Engineering
- Microbial Fermentation
Background:
- Amidase enzymes are crucial biocatalysts with diverse industrial applications.
- Optimizing microbial enzyme production is essential for cost-effective industrial processes.
- Rhodococcus erythropolis is a known source of valuable microbial enzymes.
Purpose of the Study:
- To enhance the production of amidase from Rhodococcus erythropolis MTCC 1526.
- To identify key media components influencing amidase yield.
- To optimize the concentrations of these components for maximum enzyme production.
Main Methods:
- Screening of seven Rhodococcus species strains to select MTCC 1526.
- Plackett-Burman experimental design to identify significant media components (sorbitol, yeast extract, meat peptone, acetamide).
- Response Surface Methodology (RSM) with a face-centered design to optimize component concentrations.
Main Results:
- Sorbitol, yeast extract, meat peptone, and acetamide were identified as critical factors.
- Optimal concentrations determined: sorbitol (5 g/L), yeast extract (4 g/L), meat peptone (2.5 g/L), and acetamide (12.25 mM).
- Amidase activity increased from 157.85 to 1,086.57 units/g dry cells, a 6.88-fold enhancement.
Conclusions:
- Statistical experimental design, particularly RSM, is highly effective for optimizing microbial enzyme production.
- The identified optimal medium composition significantly boosts amidase yield from Rhodococcus erythropolis MTCC 1526.
- This optimized process holds potential for industrial-scale amidase manufacturing.
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