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Please use this identifier to cite or link to this item: 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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