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| Parameter optimization of photobiological hydrogen production process using fermented broth of pineapple peel residue |
| Received:April 26, 2024 |
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| KeyWord:photobiological hydrogen production;process optimization;response surface methodology;pineapple peel residue;fermented broth |
| Author Name | Affiliation | E-mail | | QU Hao | College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030001, China | | | LIU Yuxiang | College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030001, China | yuxiangliu2002@126.com | | LI Yuxia | Department of Chemistry and Chemical Engineering, Jinzhong University, Jinzhong 030619, China | |
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| Abstract: |
| This study aims to explore the hydrogen production law of the mixed photofermentative bacteria strain XW in a fermented broth made from pineapple peel residue and to optimize the hydrogen production conditions.Cumulative hydrogen production was used as the indicator to examine the interaction between major influencing factors using the Box-Behnken Design（BBD） response surface methodology. The optimal hydrogen production conditions were predicted using the model. The interactions between initial pH and temperature and the initial pH and inoculation amount of photofermentative bacteria had significant effects on hydrogen production, while the interaction between temperature and the inoculation amount of photofermentative bacteria had a relatively small impact on hydrogen production. The optimal process conditions were an initial pH of 6.93, an inoculation amount of 22.86% photofermentative bacteria, and a temperature of 32.12 ℃ . The model predicted a maximum hydrogen production of 124.27 mL, while the actual experimental hydrogen production was 126.13 mL, with a relative error of 1.49%. This indicated that the numerical model had good fitting properties. Pineapple peel residue fermentation broth is an excellent substrate for hydrogen production by mixed photofermentative bacteria. Different initial pH, temperature, and inoculation amounts of bacteria can affect hydrogen production, and the optimal process conditions, as determined by optimized models, can be used as reference values. |
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