Optimization of metalion conditions for hydrogen production by microbial mixed culture using response surface methodology

Bao Wang; Jie Ding; Wanqian Guo; Luyan Zhang; Xianshu Liu; Nanqi Ren

Optimization of metalion conditions for hydrogen production by microbial mixed culture using response surface methodology

Bao Wang
, Jie Ding^*
, Wanqian Guo
, Luyan Zhang
, Xianshu Liu
, Nanqi Ren

^*Corresponding author for this work

School of Environment

Harbin Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

The individual and interactive effects of Fe²⁺, Zn²⁺ and Mg²⁺ concentration on the hydrogen yield were investigated by response surface methodology (RSM). A Box-Behnken design was employed to determine the effect of the independent variables on the hydrogen yield and to optimize the hydrogen yield. The optimum process conditions were determined by analyzing the three-dimensional surface and contour plots of the response surface, and by solving the regression model equation using Design Expert software. Based on the plot analysis, optimum hydrogen yield (70.71 ml) was obtained at Fe²⁺ concentration 123.63 mg/L, Zn²⁺ concentration 0.32 mg/L and Mg²⁺ concentration 99.84 mg/L.

Original language	English
Pages	311-316
Number of pages	6
State	Published - 2014
Event	20th World Hydrogen Energy Conference, WHEC 2014 - Gwangju, Korea, Republic of Duration: 15 Jun 2014 → 20 Jun 2014

Conference

Conference	20th World Hydrogen Energy Conference, WHEC 2014
Country/Territory	Korea, Republic of
City	Gwangju
Period	15/06/14 → 20/06/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Hydrogen yield
Metal ion
Optimization
Response surface methodology

Cite this

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title = "Optimization of metalion conditions for hydrogen production by microbial mixed culture using response surface methodology",

abstract = "The individual and interactive effects of Fe2+, Zn2+ and Mg2+ concentration on the hydrogen yield were investigated by response surface methodology (RSM). A Box-Behnken design was employed to determine the effect of the independent variables on the hydrogen yield and to optimize the hydrogen yield. The optimum process conditions were determined by analyzing the three-dimensional surface and contour plots of the response surface, and by solving the regression model equation using Design Expert software. Based on the plot analysis, optimum hydrogen yield (70.71 ml) was obtained at Fe2+ concentration 123.63 mg/L, Zn2+ concentration 0.32 mg/L and Mg2+ concentration 99.84 mg/L.",

keywords = "Hydrogen yield, Metal ion, Optimization, Response surface methodology",

author = "Bao Wang and Jie Ding and Wanqian Guo and Luyan Zhang and Xianshu Liu and Nanqi Ren",

year = "2014",

language = "英语",

pages = "311--316",

note = "20th World Hydrogen Energy Conference, WHEC 2014 ; Conference date: 15-06-2014 Through 20-06-2014",

}

TY - CONF

T1 - Optimization of metalion conditions for hydrogen production by microbial mixed culture using response surface methodology

AU - Wang, Bao

AU - Ding, Jie

AU - Guo, Wanqian

AU - Zhang, Luyan

AU - Liu, Xianshu

AU - Ren, Nanqi

PY - 2014

Y1 - 2014

N2 - The individual and interactive effects of Fe2+, Zn2+ and Mg2+ concentration on the hydrogen yield were investigated by response surface methodology (RSM). A Box-Behnken design was employed to determine the effect of the independent variables on the hydrogen yield and to optimize the hydrogen yield. The optimum process conditions were determined by analyzing the three-dimensional surface and contour plots of the response surface, and by solving the regression model equation using Design Expert software. Based on the plot analysis, optimum hydrogen yield (70.71 ml) was obtained at Fe2+ concentration 123.63 mg/L, Zn2+ concentration 0.32 mg/L and Mg2+ concentration 99.84 mg/L.

AB - The individual and interactive effects of Fe2+, Zn2+ and Mg2+ concentration on the hydrogen yield were investigated by response surface methodology (RSM). A Box-Behnken design was employed to determine the effect of the independent variables on the hydrogen yield and to optimize the hydrogen yield. The optimum process conditions were determined by analyzing the three-dimensional surface and contour plots of the response surface, and by solving the regression model equation using Design Expert software. Based on the plot analysis, optimum hydrogen yield (70.71 ml) was obtained at Fe2+ concentration 123.63 mg/L, Zn2+ concentration 0.32 mg/L and Mg2+ concentration 99.84 mg/L.

KW - Hydrogen yield

KW - Metal ion

KW - Optimization

KW - Response surface methodology

UR - https://www.scopus.com/pages/publications/84924858089

M3 - 论文

AN - SCOPUS:84924858089

SP - 311

EP - 316

T2 - 20th World Hydrogen Energy Conference, WHEC 2014

Y2 - 15 June 2014 through 20 June 2014

ER -

Optimization of metalion conditions for hydrogen production by microbial mixed culture using response surface methodology

Abstract

Conference

UN SDGs

Keywords

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