Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of  Box-Behnken Response Surface Methodology (RSM)

Adepoju Tunde Folorunsho; Akwayo Iniobong Job; Uzono Romokere Isotuk

doi:doi:10.11648/j.ijees.20160101.13

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Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM)

Adepoju Tunde Folorunsho, Akwayo Iniobong Job, Uzono Romokere Isotuk

Published in International Journal of Energy and Environmental Science (Volume 1, Issue 1)

Received: 20 October 2016 Accepted: 3 November 2016 Published: 16 December 2016

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Abstract

This work aims at optimization of biohydrogen production(BHP) from agro waste water. To determine the physicochemical properties of the cassava waste water the sample was subjected to analysis using standard methods. Broth medium was made and substrate preparation was carried out, inoculum pretreatment was carried out and the medium was cultivated following standard method. To optimize the process condition, three-factor-three-variables response surface methodology (RSM) was used; these gave 17 experimental runs and were carried out. Results showed that the physicochemical analysis of agro waste water had initial pH of 5.46 which indicated a low acidity, total diffuse solid of 3.93 mg/L, chemical oxygen demand of 0.25 mg/L and biochemical oxygen demand of 0.16 mg/L. The highest biohydrogen yield(BHY) obtained was 4.25 mlat a coded factors of X₁= 0, X₂=1 and X₃= 1, but the RSM statistical software predicted BHY of 4.009 ml at X₁= -1, X₂= -1.0 and X₃= -0.011 at desirability of 0.706. This was validated by carrying out three experiments which gave an average BHY of 4.00 ml. The coefficient of determination (R²) of 0.9966% implies most variability can be explained by regression model. The experimental findings concluded that the use of RSM with appropriate experimental design can help in achieving the optimum yield of biohydrogen, which could serve as an alternative source of energy that could replace petroleum-based fuels.

Published in	International Journal of Energy and Environmental Science (Volume 1, Issue 1)
DOI	10.11648/j.ijees.20160101.13
Page(s)	13-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Optimization, Response Surface Methodology, Agro Waste Water, Physicochemical Properties, Biohydrogen, Coefficient of Determination

References

[1]	Hahn-Hagerdal, B. M., Gable, M. F., Gorwa-Graslund, G. Liden and G. Zacchi. (2006). Bioethanol– the fuel of tomorrow from the residues of today. Trends in Biotechnology, 24(12): 549-556.
[2]	Wahab, A. K. A., Azwar M. Y., Hussain, M. A. (2014). Development of biohydrogen production by photobiological, fermentation and electrochemical processes: A review. Renewable and Sustainable Energy Reviews, 31:158-173.
[3]	Van Ginkel, S., Sung, S. W., Lay, J. J. (2001). Biohydrogenproduction as a function of pH and substrate concentration. Environmental Science & Technology, 35(24), 4726-4730.
[4]	Das, D., Verziroglu, T. N. (2001). Hydrogen production by biological process: A survey of literature. International Journal of Hydrogen Energy, 26(1), 13-28.
[5]	Pandu, K., Joseph S. (2012) Comparisons and limitations of biohydrogen production processes: A Review. International Journal of Advances in Engineering & Technology, 2:342-356.
[6]	Amorim, E. L. C., Barros, A. R., Damianovic, M. H. R. Z., Silva E. L. (2009). Anaerobic fluidized bed reactor with expanded clay as support for hydrogen production through dark fermentation of glucose. International Journal of Hydrogen Energy, 34(2), 783-790.
[7]	Kapdan, I. K., Kargi, F. (2006). Bio-hydrogen production from waste materials. Enzymes and Micro Technology, 38:569-582.
[8]	González, L. J. R., Dávila, I. M. M. M., García, Y. G., De la Garza, J. A. R., Martínez J. R. (2011). Biohydrogenproduction from diary processing wastewater by anaerobic biofilm reactors. African Journal of Biotechnology, 10(27):5320-5326.
[9]	Ravi, K. P., Parihuar, K. U. (2015). Production of bio-hydrogen gas from waste water by anaerobic fermentation process: A Review. International Journal Chemical Studies, 3(3): 07-14.
[10]	Luo, G., Xie, L., Zou, Z., Wang, W., Zhou, Q. (2010a). Exploring optimal conditions for thermophilic fermentative hydrogen production from cassava stillage. International Journal of Hydrogen Energy, 35(12), 6161-6169.
[11]	2016 Cassava production in Nigeria. http://en.wikipedia.org/wiki/cassava_production_in_Nigeria(accessed October 15, 2016)
[12]	Cappelletti, B. M., Reginatto, V., Amante, E. R., Antônio, R. V. (2011). Fermentative production of hydrogen from cassava processing wastewater by Clostridium acetobutylicum. Renewable Energy, 36(12), 3367-3372.
[13]	Mohan S. V., Babu V. L., Sarma P. N. (2007). Anaerobic biohydrogen production from dairy wastewater treatment in sequencing batch reactor (AnSBR): Effect of organic loading rate. Enzyme and Microbial Technology, 41:506-515.
[14]	Montgomery, Douglas C. (2005). Design and Analysis of Experiments: Response surface method and designs.
[15]	2016 Response Surface Methodology. http://en.wikipedia.org/wiki/response_surface_methodology (accessed October 16, 2016)

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Adepoju Tunde Folorunsho, Akwayo Iniobong Job, Uzono Romokere Isotuk. (2016). Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). International Journal of Energy and Environmental Science, 1(1), 13-18. https://doi.org/10.11648/j.ijees.20160101.13

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Adepoju Tunde Folorunsho; Akwayo Iniobong Job; Uzono Romokere Isotuk. Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). Int. J. Energy Environ. Sci. 2016, 1(1), 13-18. doi: 10.11648/j.ijees.20160101.13

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AMA Style

Adepoju Tunde Folorunsho, Akwayo Iniobong Job, Uzono Romokere Isotuk. Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). Int J Energy Environ Sci. 2016;1(1):13-18. doi: 10.11648/j.ijees.20160101.13

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@article{10.11648/j.ijees.20160101.13,
  author = {Adepoju Tunde Folorunsho and Akwayo Iniobong Job and Uzono Romokere Isotuk},
  title = {Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of  Box-Behnken Response Surface Methodology (RSM)},
  journal = {International Journal of Energy and Environmental Science},
  volume = {1},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.ijees.20160101.13},
  url = {https://doi.org/10.11648/j.ijees.20160101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20160101.13},
  abstract = {This work aims at optimization of biohydrogen production(BHP) from agro waste water. To determine the physicochemical properties of the cassava waste water the sample was subjected to analysis using standard methods. Broth medium was made and substrate preparation was carried out, inoculum pretreatment was carried out and the medium was cultivated following standard method. To optimize the process condition, three-factor-three-variables response surface methodology (RSM) was used; these gave 17 experimental runs and were carried out. Results showed that the physicochemical analysis of agro waste water had initial pH of 5.46 which indicated a low acidity, total diffuse solid of 3.93 mg/L, chemical oxygen demand of 0.25 mg/L and biochemical oxygen demand of 0.16 mg/L. The highest biohydrogen yield(BHY) obtained was 4.25 mlat a coded factors of X1= 0, X2=1 and X3= 1, but the RSM statistical software predicted BHY of 4.009 ml at X1= -1, X2= -1.0 and X3= -0.011 at desirability of 0.706. This was validated by carrying out three experiments which gave an average BHY of 4.00 ml. The coefficient of determination (R2) of 0.9966% implies most variability can be explained by regression model. The experimental findings concluded that the use of RSM with appropriate experimental design can help in achieving the optimum yield of biohydrogen, which could serve as an alternative source of energy that could replace petroleum-based fuels.},
 year = {2016}
}

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TY  - JOUR
T1  - Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of  Box-Behnken Response Surface Methodology (RSM)
AU  - Adepoju Tunde Folorunsho
AU  - Akwayo Iniobong Job
AU  - Uzono Romokere Isotuk
Y1  - 2016/12/16
PY  - 2016
N1  - https://doi.org/10.11648/j.ijees.20160101.13
DO  - 10.11648/j.ijees.20160101.13
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20160101.13
AB  - This work aims at optimization of biohydrogen production(BHP) from agro waste water. To determine the physicochemical properties of the cassava waste water the sample was subjected to analysis using standard methods. Broth medium was made and substrate preparation was carried out, inoculum pretreatment was carried out and the medium was cultivated following standard method. To optimize the process condition, three-factor-three-variables response surface methodology (RSM) was used; these gave 17 experimental runs and were carried out. Results showed that the physicochemical analysis of agro waste water had initial pH of 5.46 which indicated a low acidity, total diffuse solid of 3.93 mg/L, chemical oxygen demand of 0.25 mg/L and biochemical oxygen demand of 0.16 mg/L. The highest biohydrogen yield(BHY) obtained was 4.25 mlat a coded factors of X1= 0, X2=1 and X3= 1, but the RSM statistical software predicted BHY of 4.009 ml at X1= -1, X2= -1.0 and X3= -0.011 at desirability of 0.706. This was validated by carrying out three experiments which gave an average BHY of 4.00 ml. The coefficient of determination (R2) of 0.9966% implies most variability can be explained by regression model. The experimental findings concluded that the use of RSM with appropriate experimental design can help in achieving the optimum yield of biohydrogen, which could serve as an alternative source of energy that could replace petroleum-based fuels.
VL  - 1
IS  - 1
ER  -

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Author Information

Adepoju Tunde Folorunsho

Department of Chemical and Petrochemical Engineering, Akwa-Ibom State University, IkotAkpaden, MkpatEninL.G.A., Nigeria
Akwayo Iniobong Job

Department of Chemical and Petrochemical Engineering, Akwa-Ibom State University, IkotAkpaden, MkpatEninL.G.A., Nigeria
Uzono Romokere Isotuk

Department of Chemical and Petrochemical Engineering, Akwa-Ibom State University, IkotAkpaden, MkpatEninL.G.A., Nigeria

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Adepoju Tunde Folorunsho, Akwayo Iniobong Job, Uzono Romokere Isotuk. (2016). Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). International Journal of Energy and Environmental Science, 1(1), 13-18. https://doi.org/10.11648/j.ijees.20160101.13

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Adepoju Tunde Folorunsho; Akwayo Iniobong Job; Uzono Romokere Isotuk. Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). Int. J. Energy Environ. Sci. 2016, 1(1), 13-18. doi: 10.11648/j.ijees.20160101.13

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AMA Style

Adepoju Tunde Folorunsho, Akwayo Iniobong Job, Uzono Romokere Isotuk. Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of Box-Behnken Response Surface Methodology (RSM). Int J Energy Environ Sci. 2016;1(1):13-18. doi: 10.11648/j.ijees.20160101.13

Copy | Download

@article{10.11648/j.ijees.20160101.13,
  author = {Adepoju Tunde Folorunsho and Akwayo Iniobong Job and Uzono Romokere Isotuk},
  title = {Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of  Box-Behnken Response Surface Methodology (RSM)},
  journal = {International Journal of Energy and Environmental Science},
  volume = {1},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.ijees.20160101.13},
  url = {https://doi.org/10.11648/j.ijees.20160101.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20160101.13},
  abstract = {This work aims at optimization of biohydrogen production(BHP) from agro waste water. To determine the physicochemical properties of the cassava waste water the sample was subjected to analysis using standard methods. Broth medium was made and substrate preparation was carried out, inoculum pretreatment was carried out and the medium was cultivated following standard method. To optimize the process condition, three-factor-three-variables response surface methodology (RSM) was used; these gave 17 experimental runs and were carried out. Results showed that the physicochemical analysis of agro waste water had initial pH of 5.46 which indicated a low acidity, total diffuse solid of 3.93 mg/L, chemical oxygen demand of 0.25 mg/L and biochemical oxygen demand of 0.16 mg/L. The highest biohydrogen yield(BHY) obtained was 4.25 mlat a coded factors of X1= 0, X2=1 and X3= 1, but the RSM statistical software predicted BHY of 4.009 ml at X1= -1, X2= -1.0 and X3= -0.011 at desirability of 0.706. This was validated by carrying out three experiments which gave an average BHY of 4.00 ml. The coefficient of determination (R2) of 0.9966% implies most variability can be explained by regression model. The experimental findings concluded that the use of RSM with appropriate experimental design can help in achieving the optimum yield of biohydrogen, which could serve as an alternative source of energy that could replace petroleum-based fuels.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Optimization of Biohydrogen Production (BHP) from Agro Waste Water (Cassava Waste Water): A Case of  Box-Behnken Response Surface Methodology (RSM)
AU  - Adepoju Tunde Folorunsho
AU  - Akwayo Iniobong Job
AU  - Uzono Romokere Isotuk
Y1  - 2016/12/16
PY  - 2016
N1  - https://doi.org/10.11648/j.ijees.20160101.13
DO  - 10.11648/j.ijees.20160101.13
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20160101.13
AB  - This work aims at optimization of biohydrogen production(BHP) from agro waste water. To determine the physicochemical properties of the cassava waste water the sample was subjected to analysis using standard methods. Broth medium was made and substrate preparation was carried out, inoculum pretreatment was carried out and the medium was cultivated following standard method. To optimize the process condition, three-factor-three-variables response surface methodology (RSM) was used; these gave 17 experimental runs and were carried out. Results showed that the physicochemical analysis of agro waste water had initial pH of 5.46 which indicated a low acidity, total diffuse solid of 3.93 mg/L, chemical oxygen demand of 0.25 mg/L and biochemical oxygen demand of 0.16 mg/L. The highest biohydrogen yield(BHY) obtained was 4.25 mlat a coded factors of X1= 0, X2=1 and X3= 1, but the RSM statistical software predicted BHY of 4.009 ml at X1= -1, X2= -1.0 and X3= -0.011 at desirability of 0.706. This was validated by carrying out three experiments which gave an average BHY of 4.00 ml. The coefficient of determination (R2) of 0.9966% implies most variability can be explained by regression model. The experimental findings concluded that the use of RSM with appropriate experimental design can help in achieving the optimum yield of biohydrogen, which could serve as an alternative source of energy that could replace petroleum-based fuels.
VL  - 1
IS  - 1
ER  -

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