Modeling and Optimization of Biohydrogen Production from De-oiled Jatropha Using the Response Surface Method

Gopalakrishnan Kumar, Periyasamy Sivagurunathan, Sang Hyoun Kim, Peter Bakonyi, Chiu Yue Lin

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

In this study, optimization of hydrogen fermentation process from de-oiled Jatropha waste using a central composite design was modeled. A series of batch assays was performed at various substrate concentrations (32–368 g/L), temperatures (38–72°C) and pHs (4.8–8.2) according to the experimental design. The optimal conditions for cumulative hydrogen production (CHP) were determined by response surface methodology. The optimal substrate concentration, pH and temperature values were 211g/L, 6.5 and 55.4°C, respectively. Under these circumstances, the highest achievable CHP of 296 mL H2 was predicted. To validate the model, verification experiments were conducted. The results were satisfactorily matched with the statistically estimated values with peak CHP value of 307.4 ± 4.5mL H2. Microbial community profiling (PCR-DGGE) has revealed that the dominant bacterial community present belonged to Clostridium thermopalmarium, Clostridium buytricum, Bacillus ginsengihumi and Bacillus coagulans.

Original languageEnglish
Pages (from-to)15-22
Number of pages8
JournalArabian Journal for Science and Engineering
Volume40
Issue number1
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Hydrogen production
Clostridium
Bacilli
Substrates
Design of experiments
Fermentation
Assays
Hydrogen
Temperature
Composite materials
Experiments

All Science Journal Classification (ASJC) codes

  • General

Cite this

@article{fdf0395a45d4482e9a56e3b8559d57b2,
title = "Modeling and Optimization of Biohydrogen Production from De-oiled Jatropha Using the Response Surface Method",
abstract = "In this study, optimization of hydrogen fermentation process from de-oiled Jatropha waste using a central composite design was modeled. A series of batch assays was performed at various substrate concentrations (32–368 g/L), temperatures (38–72°C) and pHs (4.8–8.2) according to the experimental design. The optimal conditions for cumulative hydrogen production (CHP) were determined by response surface methodology. The optimal substrate concentration, pH and temperature values were 211g/L, 6.5 and 55.4°C, respectively. Under these circumstances, the highest achievable CHP of 296 mL H2 was predicted. To validate the model, verification experiments were conducted. The results were satisfactorily matched with the statistically estimated values with peak CHP value of 307.4 ± 4.5mL H2. Microbial community profiling (PCR-DGGE) has revealed that the dominant bacterial community present belonged to Clostridium thermopalmarium, Clostridium buytricum, Bacillus ginsengihumi and Bacillus coagulans.",
author = "Gopalakrishnan Kumar and Periyasamy Sivagurunathan and Kim, {Sang Hyoun} and Peter Bakonyi and Lin, {Chiu Yue}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/s13369-014-1502-z",
language = "English",
volume = "40",
pages = "15--22",
journal = "Arabian Journal for Science and Engineering",
issn = "1319-8025",
publisher = "Springer Berlin",
number = "1",

}

Modeling and Optimization of Biohydrogen Production from De-oiled Jatropha Using the Response Surface Method. / Kumar, Gopalakrishnan; Sivagurunathan, Periyasamy; Kim, Sang Hyoun; Bakonyi, Peter; Lin, Chiu Yue.

In: Arabian Journal for Science and Engineering, Vol. 40, No. 1, 01.01.2014, p. 15-22.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modeling and Optimization of Biohydrogen Production from De-oiled Jatropha Using the Response Surface Method

AU - Kumar, Gopalakrishnan

AU - Sivagurunathan, Periyasamy

AU - Kim, Sang Hyoun

AU - Bakonyi, Peter

AU - Lin, Chiu Yue

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this study, optimization of hydrogen fermentation process from de-oiled Jatropha waste using a central composite design was modeled. A series of batch assays was performed at various substrate concentrations (32–368 g/L), temperatures (38–72°C) and pHs (4.8–8.2) according to the experimental design. The optimal conditions for cumulative hydrogen production (CHP) were determined by response surface methodology. The optimal substrate concentration, pH and temperature values were 211g/L, 6.5 and 55.4°C, respectively. Under these circumstances, the highest achievable CHP of 296 mL H2 was predicted. To validate the model, verification experiments were conducted. The results were satisfactorily matched with the statistically estimated values with peak CHP value of 307.4 ± 4.5mL H2. Microbial community profiling (PCR-DGGE) has revealed that the dominant bacterial community present belonged to Clostridium thermopalmarium, Clostridium buytricum, Bacillus ginsengihumi and Bacillus coagulans.

AB - In this study, optimization of hydrogen fermentation process from de-oiled Jatropha waste using a central composite design was modeled. A series of batch assays was performed at various substrate concentrations (32–368 g/L), temperatures (38–72°C) and pHs (4.8–8.2) according to the experimental design. The optimal conditions for cumulative hydrogen production (CHP) were determined by response surface methodology. The optimal substrate concentration, pH and temperature values were 211g/L, 6.5 and 55.4°C, respectively. Under these circumstances, the highest achievable CHP of 296 mL H2 was predicted. To validate the model, verification experiments were conducted. The results were satisfactorily matched with the statistically estimated values with peak CHP value of 307.4 ± 4.5mL H2. Microbial community profiling (PCR-DGGE) has revealed that the dominant bacterial community present belonged to Clostridium thermopalmarium, Clostridium buytricum, Bacillus ginsengihumi and Bacillus coagulans.

UR - http://www.scopus.com/inward/record.url?scp=84920066327&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920066327&partnerID=8YFLogxK

U2 - 10.1007/s13369-014-1502-z

DO - 10.1007/s13369-014-1502-z

M3 - Article

AN - SCOPUS:84920066327

VL - 40

SP - 15

EP - 22

JO - Arabian Journal for Science and Engineering

JF - Arabian Journal for Science and Engineering

SN - 1319-8025

IS - 1

ER -