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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/1883
Title: Artificial intelligence based modeling and optimization of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) production process by using Azohydromonas lata MTCC 2311 from cane molasses supplemented with volatile fatty acids: A genetic algorithm paradigm
Authors: Zafar M.
Kumar S.
Kumar S.
Dhiman, Amit KumarK.
Published in: Bioresource Technology
Abstract: The present work describes the optimization of medium variables for the production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) [P(3HB-co-3HV)] by Azohydromonas lata MTCC 2311 using cane molasses supplemented with propionic acid. Genetic algorithm (GA) has been used for the optimization of P(3HB-co-3HV) production through the simulation of artificial neural network (ANN) and response surface methodology (RSM). The predictions by ANN are better than those of RSM and in good agreement with experimental findings. The highest P(3HB-co-3HV) concentration and 3HV content have been reported as 7.35. g/l and 16.84. mol%, respectively by hybrid ANN-GA. Upon validation, 7.20. g/l and 16.30. mol% of P(3HB-co-3HV) concentration and 3HV content have been found in the shake flask, whereas 6.70. g/l and 16.35. mol%, have been observed in a 3. l bioreactor, respectively. The specific growth rate and P(3HB-co-3HV) accumulation rate of 0.29 per h and 0.16. g/l. h determined with cane molasses are comparable to those observed on pure substrates. © 2011 Elsevier Ltd.
Citation: Bioresource Technology (2012), 104(): 631-641
URI: https://doi.org/10.1016/j.biortech.2011.10.024
http://repository.iitr.ac.in/handle/123456789/1883
Issue Date: 2012
Keywords: Artificial neural network
Azohydromonas lata
Cane molasses
Genetic algorithm
Poly(3-hydroxybutyrate-co-3-hydroxyvalerate)
ISSN: 9608524
Author Scopus IDs: 57197240378
57209548014
55500513200
8548369300
Author Affiliations: 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
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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