Optimization and modeling of biohydrogen production by mixed bacterial cultures from raw cassava starch

Shaojie Wang, Zhihong Ma, Ting Zhang, Meidan Bao, Haijia Su

PDF(314 KB)
PDF(314 KB)
Front. Chem. Sci. Eng. ›› 2017, Vol. 11 ›› Issue (1) : 100-106. DOI: 10.1007/s11705-017-1617-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Optimization and modeling of biohydrogen production by mixed bacterial cultures from raw cassava starch

Author information +
History +

Abstract

The production of bio-hydrogen from raw cassava starch via a mixed-culture dark fermentation process was investigated. The production yield of H2 was optimized by adjusting the substrate concentration and the microorganism mixture ratio. A maximum H2 yield of 1.72 mol H2/mol glucose was obtained with a cassava starch concentration of 10 g/L to give a 90% utilization rate. The kinetics of the substrate utilization and of the generation of both hydrogen and volatile fatty acids were also investigated. The substrate utilization follows pseudo first order reaction kinetics, whereas the production of both H2 and the VFAs correlate with the Gompertz equation. These results show that cassava is a good candidate for the production of biohydrogen.

Graphical abstract

Keywords

cassava / biohydrogen / mixed cultures / kinetics

Cite this article

Download citation ▾
Shaojie Wang, Zhihong Ma, Ting Zhang, Meidan Bao, Haijia Su. Optimization and modeling of biohydrogen production by mixed bacterial cultures from raw cassava starch. Front. Chem. Sci. Eng., 2017, 11(1): 100‒106 https://doi.org/10.1007/s11705-017-1617-3

References

[1]
Wang H, Zhang L, Chen Z, Hu J, Li S, Wang Z, Liu J, Wang X. Semiconductor heterojunction photocatalysts: Design, construction, and photocatalytic performances. Chemical Society Reviews, 2014, 43(15): 5234–5244
CrossRef Google scholar
[2]
Jiang S P, Shen P K, Sun A X, Sun S, Qiao J. Preface to the special section on “International Conference on Electrochemical Energy Science and Technology (EEST2014), 31 October–4 November 2014, Shanghai, China”. International Journal of Hydrogen Energy, 2015, 40(41): 14271
CrossRef Google scholar
[3]
Chen C Y, Yang M H, Yeh K L, Chang J S. Biohydrogen production using sequential two-stage dark and photo fermentation processes. International Journal of Hydrogen Energy, 2008, 33(18): 4755–4762
CrossRef Google scholar
[4]
Gadhamshetty V, Sukumaran A, Nirmalakhandan N, Theinmyint M. Photofermentation of malate for biohydrogen production—a modeling approach. International Journal of Hydrogen Energy, 2008, 33(9): 2138–2146
CrossRef Google scholar
[5]
Lin C Y, Jo C H. Hydrogen production from sucrose using an anaerobic sequencing batch reactor process. Journal of Chemical Technology and Biotechnology (Oxford, Oxfordshire), 2003, 78(6): 678–684
CrossRef Google scholar
[6]
Sreethawong T, Chatsiriwatana S, Rangsunvigit P, Chavadej S. Hydrogen production from cassava wastewater using an anaerobic sequencing batch reactor: Effects of operational parameters, COD: N ratio, and organic acid composition. International Journal of Hydrogen Energy, 2010, 35(9): 4092–4102
CrossRef Google scholar
[7]
Wang S, Zhang T, Su H. Enhanced hydrogen production from corn starch wastewater as nitrogen source by mixed cultures. Renewable Energy, 2016, 96: 1135–1141
CrossRef Google scholar
[8]
Kapdan I K, Kargi F. Bio-hydrogen production from waste materials. Enzyme and Microbial Technology, 2006, 38(5): 569–582
CrossRef Google scholar
[9]
Manish S, Banerjee R. Comparison of biohydrogen production processes. International Journal of Hydrogen Energy, 2008, 33(1): 279–286
CrossRef Google scholar
[10]
Meherkotay S, Das D. Biohydrogen as a renewable energy resource—prospects and potentials. International Journal of Hydrogen Energy, 2008, 33(1): 258–263
CrossRef Google scholar
[11]
Angenent L T, Wrenn B A. Optimizing mixed-culture bioprocessing to convert wastes into bionergy. Bioenergy, 2008, 179–194
[12]
Sydney E B, Larroche C, Novak A C, Nouaille R, Sarma S J, Brar S K, Letti L A J, Soccol V T, Soccol C R. Economic process to produce biohydrogen and volatile fatty acids by a mixed culture using vinasse from sugarcane ethanol industry as nutrient source. Bioresource Technology, 2014, 159(6): 380–386
CrossRef Google scholar
[13]
Wei Z, Zhang Y, Du B, Dong W, Qin W, Zhao Y. Enhancement effect of silver nanoparticles on fermentative biohydrogen production using mixed bacteria. Bioresource Technology, 2013, 142(8): 240–245
[14]
Ghimire A, Sposito F, Frunzo L, Lens P N, Pirozzi F, Esposito G. Improved dark fermentative hydrogen yields from complex waste biomass using mixed anaerobic cultures. Proceedings of the Water Environment Federation, 2015, 2(2): 1
CrossRef Google scholar
[15]
Argun H, Kargi F. Bio-hydrogen production from ground wheat starch by continuous combined fermentation using annular-hybrid bioreactor. International Journal of Hydrogen Energy, 2010, 35(12): 6170–6178
CrossRef Google scholar
[16]
Bao M, Su H, Tan T. Biohydrogen production by dark fermentation of starch using mixed bacterial cultures of bacillus sp. and brevumdimonas sp. Energy & Fuels, 2012, 26(9): 5872–5878
CrossRef Google scholar
[17]
Hu B, Chen S. Pretreatment of methanogenic granules for immobilized hydrogen fermentation. International Journal of Hydrogen Energy, 2007, 32(15): 3266–3273
CrossRef Google scholar
[18]
Mu Y, Yu H Q, Wang G. Evaluation of three methods for enriching H2-producing cultures from anaerobic sludge. Enzyme and Microbial Technology, 2007, 40(4): 947–953
CrossRef Google scholar
[19]
Chaganti S R, Kim D H, Lalman J A, Shewa W A. Statistical optimization of factors affecting biohydrogen production from xylose fermentation using inhibited mixed anaerobic cultures. International Journal of Hydrogen Energy, 2012, 37(16): 11710–11718
CrossRef Google scholar
[20]
Masset J, Calusinska M, Hamilton C, Joris B, Wilmotte A, Thonart P. Fermentative hydrogen production from glucose and starch using pure strains and artificial co-cultures of Clostridium spp. Biotechnology for Biofuels, 2012, 5(1): 1
CrossRef Google scholar
[21]
Chen W, Wu F, Zhang J. Potential production of non-food biofuels in China. Renewable Energy, 2016, 85: 939–944
CrossRef Google scholar
[22]
Baeyens J, Kang Q, Appels L, Dewil R, Lv Y, Tan T. Challenges and opportunities in improving the production of bio-ethanol. Progress in Energy and Combustion Science, 2015, 47: 60–88
CrossRef Google scholar
[23]
Luo X. Strategies for developing cassava industry in Guangxi. Zhongguo Nongxue Tongbao, 2004, 20(6): 376–379
[24]
Li Z, Huang Z, Yang Z, Chen D. The harmful factors and countermeasure influencing development of cassava fuel-alcohol industry. Renewable Energy Resources, 2008, 26(3): 106–110
[25]
Hu Z, Fang F, Ben D F, Pu G, Wang C. Net energy, CO2 emission, and life-cycle cost assessment of cassava-based ethanol as an alternative automotive fuel in (the) PRC. Applied Energy, 2004, 78(3): 247–256
CrossRef Google scholar
[26]
Hu Z, Tan P, Pu G. Multi-objective optimization of cassava-based fuel ethanol used as an alternative automotive fuel in Guangxi, China. Applied Energy, 2006, 83(8): 819–840
CrossRef Google scholar
[27]
Zhang T, Bao M D, Wang Y, Su H J, Tan T W. Genome sequence of Bacillus cereus strain A1, an efficient starch-utilizing producer of hydrogen. Genome Announcements, 2014, 2(3): e00494–e14
CrossRef Google scholar
[28]
Zhang T, Bao M D, Wang Y, Su H J, Tan T W. Genome sequence of a promising hydrogen-producing facultative anaerobic bacterium, Brevundimonas naejangsanensis strain B1. Genome Announcements, 2014, 2(3): e00542–e14
[29]
Bao M D, Su H J, Tan T W. Dark fermentative bio-hydrogen production: Effects of substrate pre-treatment and addition of metal ions or L-cysteine. Fuel, 2013, 112: 38–44
CrossRef Google scholar
[30]
Wang J, Wan W. Factors influencing fermentative hydrogen production: A review. International Journal of Hydrogen Energy, 2009, 34(2): 799–811
CrossRef Google scholar
[31]
Ginkel S V, Sung S, Lay J J. Biohydrogen production as a function of pH and substrate concentration. Environmental Science & Technology, 2001, 35(24): 4726–4730
CrossRef Google scholar
[32]
de Amorim E L C, Sader L T, Silva E L. Effect of substrate concentration on dark fermentation hydrogen production using an anaerobic fluidized bed reactor. Applied Biochemistry and Biotechnology, 2012, 166(5): 1248–1263
CrossRef Google scholar
[33]
Chen W M, Tseng Z J, Lee K S, Chang J S. Fermentative hydrogen production with Clostridium butyricum CGS5 isolated from anaerobic sewage sludge. International Journal of Hydrogen Energy, 2005, 30(10): 1063–1070
CrossRef Google scholar
[34]
Ren N Q, Wang B Z, Ma F. A physiological ecology analysis of acidogenic fermentation of organic wastewater. China Biogas, 1995, 13(1): 1–6
[35]
Yokoi H, Tokushige T, Hirose J, Hayashi S, Takasaki Y H. H2production from starch by a mixed culture of Clostridium butyricum and Enterobacter aerogenes. Biotechnology Letters, 1998, 20(2): 143–147
CrossRef Google scholar
[36]
Vatsala T M, Raj S M, Manimaran A. A pilot-scale study of biohydrogen production from distillery effluent using defined bacterial co-culture. International Journal of Hydrogen Energy, 2008, 33(20): 5404–5415
CrossRef Google scholar
[37]
Argun H, Kargi F. Effects of sludge pre-treatment method on bio-hydrogen production by dark fermentation of waste ground wheat. International Journal of Hydrogen Energy, 2009, 34(20): 8543–8548
CrossRef Google scholar
[38]
Appels L, Baeyens J, Degrève J, Dewil R. Principles and potential of the anaerobic digestion of waste-activated sludge. Progress in Energy and Combustion Science, 2008, 34(6): 755–781
CrossRef Google scholar
[39]
Hsiao C L, Chang J J, Wu J H, Chin W C, Wen F S, Huang C C, Chen C C, Lin C Y. Clostridium strain co-cultures for biohydrogen production enhancement from condensed molasses fermentation solubles. International Journal of Hydrogen Energy, 2009, 34(17): 7173–7181
CrossRef Google scholar
[40]
Lee K S, Hsu Y F, Lo Y C, Lin P J, Lin C Y, Chang J S. Exploring optimal environmental factors for fermentative hydrogen production from starch using mixed anaerobic microflora. International Journal of Hydrogen Energy, 2008, 33(5): 1565–1572
CrossRef Google scholar

Acknowledgements

The authors express their thanks for the support from the National Natural Science Foundation of China (Grant No. 21525625), the National Basic Research Program of China (973 Program, Grant No. 2014CB745100), the National High Technology Research and Development Program of China (863 Program, Grant No. 2013AA020302).

RIGHTS & PERMISSIONS

2017 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(314 KB)

Accesses

Citations

Detail

Sections
Recommended

/