Skip to main navigation Skip to search Skip to main content

Optimization of culture conditions for hydrogen production by Ethanoligenens harbinense B49 using response surface methodology

  • Northeast Agricultural University
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The design of an optimum and cost-efficient medium for high-level production of hydrogen by Ethanoligenens harbinense B49 was attempted by using response surface methodology (RSM). Based on the Plackett-Burman design, Fe2+ and Mg2+ were selected as the most critical nutrient salts. Subsequently, the optimum combination of the selected factors and the sole carbon source glucose were investigated by the Box-Behnken design. Results showed that the maximum hydrogen yield of 2.21 mol/mol glucose was predicted when the concentrations of glucose, Fe2+ and Mg2+ were 14.57 g/L, 177.28 mg/L and 691.98 mg/L, respectively. The results were further verified by triplicate experiments. The batch reactors were operated under an optimized condition of the respective glucose, Fe2+ and Mg2+ concentration of 14.5 g/L, 180 mg/L and 690 mg/L, the initial pH of 6.0 and experimental temperature of 35 ± 1 oC. Without further pH adjustment, the maximum hydrogen yield of 2.20 mol/mol glucose was obtained based on the optimized medium with further verified the practicability of this optimum strategy.

Original languageEnglish
Pages (from-to)1192-1196
Number of pages5
JournalBioresource Technology
Volume100
Issue number3
DOIs
StatePublished - Feb 2009

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Culture conditions
  • Ethanol fermentation
  • Ethanoligenens harbinense B49
  • Hydrogen production
  • Response surface methodology

Fingerprint

Dive into the research topics of 'Optimization of culture conditions for hydrogen production by Ethanoligenens harbinense B49 using response surface methodology'. Together they form a unique fingerprint.

Cite this