Multiple parameters optimization for maximization of hydrogen production using defined microbial consortia

Indian Journal of Biotechnology

Volumn 10, Issue 2, 2011, Pages 196-201

  Ghosh, Souparno ^a   Joy, Shereena ^a   Das, Debabrata ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Hydrogen; Microbial consortia; Molasses; Optimization

Indexed keywords

HYDROGEN; MOLASSES;

ARTICLE; BACILLUS COAGULANS; BACTERIAL STRAIN; CHEMICAL OXYGEN DEMAND; CITROBACTER FREUNDII; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENERGY YIELD; ENTEROBACTER CLOACAE; MICROBIAL CONSORTIUM; NONHUMAN; PH; REACTOR OPTIMIZATION; STRAIN DIFFERENCE; TEMPERATURE;

BACILLUS COAGULANS; CITROBACTER FREUNDII; ENTEROBACTER CLOACAE;

EID: 79957584472     PISSN: 09725849     EISSN: 09750967     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Levin D, Pitt L & Love M, Biohydrogen production: Prospects and limitations to practical application, Int J Hydrogen Energy, 29 (2004) 173-185
2. Das D & Veziroglu T N, Advances in biological hydrogen production processes, Int J Hydrogen Energy, 33 (2008) 6046-6057
3. Kotay S M & Das D, Feasibility of biohydrogen production from sewage sludge using defined microbial consortium, World Hydrogen Energy Conf, 14, (2006) 13-16
4. Hawkes F R, Dinsdale R, Hawkes D L & Hussy I, Sustainable fermentative hydrogen production: Challenges for process optimization, Int J Hydrogen Energy, 27 (2002) 1339-1347
5. Sen D & Das D, Multiple parameter optimization for the maximization of hydrogen production by Enterobacter cloacae DM11, J Sci Ind Res, 64 (2005) 984-990
6. Das D & Veziroglu T N, Hydrogen production by biological process: A survey of literature, Int J Hydrogen Energy, 26 (2001) 13-28
7. Kotay S M & Das D, Microbial hydrogen production with Bacillus coagulans IIT-BT S1 isolated from anaerobic sewage sludge, Bioresour Technol, 98 (2007) 1183-1190
8. Box G E P & Behnken D W, Some new three level designs for the study of quantitative variables, Technometrics, 2 (1960) 455-476
9. Deb K, Multi-objective optimization using evolutionary algorithms (John Wiley and Sons, Chichester, West Sussex, UK), 2001
10. Miller B L & Goldberg D E, Genetic algorithms, tournament selection, and the effects of noise (MIT Press, MA, USA), 1996
11. Sen R & Swaminathan T, Application of response to evaluate the optimum conditions for enhanced production of surfactin, Appl Microbiol Biotechnol, 47 (1997) 358-363
12. nd edn (John Wiley and Sons, New York) 2001, 143-148
13. Das D, Advances in biohydrogen production processes: An approach towards commercialization, Int J Hydrogen Energy, 34 (2009) 7349-7357