Optimization of Cellulase Production from Isolated Cellulolytic Bacterium: Comparison between Genetic Algorithms, Simulated Annealing, and Response Surface Methodology
| Autor: | J. Satya Eswari, Piyush Parkhey, Pratima Gupta |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
0301 basic medicine Mathematical optimization Chromatography Central composite design biology Chemistry General Chemical Engineering General Chemistry Cellulase 01 natural sciences Yeast Carboxymethyl cellulose 03 medical and health sciences 030104 developmental biology Ochrobactrum haematophilum 010608 biotechnology biology.protein medicine Yeast extract Process optimization Response surface methodology medicine.drug |
| Zdroj: | Chemical Engineering Communications. 204:28-38 |
| ISSN: | 1563-5201 0098-6445 |
| DOI: | 10.1080/00986445.2016.1230736 |
| Popis: | The present study discusses optimization of cellulase production from isolated cellulolytic bacterium. A simulated annealing (SA) algorithm is proposed for optimization of these processes to achieve the desired production goal. The approach was compared to the use of evolutionary algorithms, i.e., genetic algorithms (GAs) and response surface methodology (RSM). Ochrobactrum haematophilum was identified as the isolated bacteria. Carboxymethyl cellulose (CMC) concentration, yeast extract, pH, and incubation temperature were the significant factors screened by Plackett–Burman design and further optimized using a central composite design. The optimum values obtained were CMC concentration = 4.76% (w/v), yeast extract = 2.03% (w/v), pH = 6.3, and temperature = 44.2°C. Carboxy methyl cellulase (CMCase) activity at these values was experimentally determined to be 3.55 ± 0.16 U/ml, which was 2.8 times than the unoptimized system (1.23 U/ml). The growth-associated and non-growth-associated Leudeking–Piret constant... |
| Databáze: | OpenAIRE |
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