http://repository.iitr.ac.in/handle/123456789/1876
Title: | Modeling and optimization of poly(3hydroxybutyrateco-3hydroxyvalerate) production from cane molasses by Azohydromonas lata MTCC 2311 in a stirred-tank reactor: Effect of agitation and aeration regimes |
Authors: | Kumar S. Zafar M. Kumar S. Dhiman, Amit KumarK. |
Published in: | Journal of Industrial Microbiology and Biotechnology |
Abstract: | The effects of agitation and aeration rates on copolymer poly(3-hydroxybutyrate-co-3-hydroxyvalerate) [P(3HB-co-3HV)] production by Azohydromonas lata MTCC 2311 using cane molasses supplemented with propionic acid in a bioreactor were investigated. The experiments were conducted in a three-level factorial design by varying the impeller (150-500 rev min -1) and aeration (0.5-1.5 vvm) rates. Further, the data were fitted to mathematical models [quadratic polynomial equation and artificial neural network (ANN)] and process variables were optimized by genetic algorithm-coupled models. ANN and hybrid ANN-GA were found superior for modeling and optimization of process variables, respectively. The maximum copolymer concentration of 7.45 g l-1 with 21.50 mol% of 3HV was predicted at process variables: agitation speed, 287 rev min-1; and aeration rate, 0.85 vvm, which upon validation gave 7.20 g l-1 of P(3HB-co- 3HV) with 21 mol% of 3HV with the prediction error (%) of 3.38 and 2.32, respectively. Agitation speed established a relative high importance of 72.19% than of aeration rate (27.80%) for copolymer accumulation. The volumetric gas-liquid mass transfer coefficient (kLa) was strongly affected by agitation and aeration rates. The highest P(3HB-co-3HV) productivity of 0.163 g l-1 h-1 was achieved at 0.17 s-1 of kLa value. During the early phase of copolymer production process, 3HB monomers were accumulated, which were shifted to 3HV units (9-21%) during the cultivation period of 24-42 h. The enhancement of 7.5 and 34% were reported for P(3HB-co-3HV) production and 3HV content, respectively, by hybrid ANNGA paradigm, which revealed the significant utilization of cane molasses for improved copolymer production. © Society for Industrial Microbiology and Biotechnology 2012. |
Citation: | Journal of Industrial Microbiology and Biotechnology (2012), 39(7): 987-1001 |
URI: | https://doi.org/10.1007/s10295-012-1102-4 http://repository.iitr.ac.in/handle/123456789/1876 |
Issue Date: | 2012 |
Keywords: | Artificial neural network Cane molasses Genetic algorithm P(3HB-co-3HV) Volumetric oxygen transfer coefficient (kLa) |
ISSN: | 13675435 |
Author Scopus IDs: | 55500513200 57197240378 57209548014 8548369300 |
Author Affiliations: | Kumar, S., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India Zafar, M., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India Kumar, S., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India Dhiman, A.K., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India |
Corresponding Author: | Kumar, S.; Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India; email: skumar@iitr.ernet.in |
Appears in Collections: | Journal Publications [CH] |
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