利用CO2合成VFAs的同型产乙酸反应影响因素研究
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华中农业大学工学院

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湖北省科学自然基金


Study on the influencing factors of homoacetogenesis reaction of VFAs synthesis from CO2
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    摘要:

    工业合成气中含有大量的CO2,实现CO2的资源化利用对目前环境改善具有重大意义。厌氧发酵工艺中的同型产乙酸具有自养和异养两种特性,可以利用CO2和H2生成乙酸,也可降解葡萄糖等生成挥发性脂肪酸(VFAs)。本研究拟利用其自养特性,探讨同型产乙酸菌将CO2进行资源转化的能力,探讨顶空H2/CO2比例、碳源种类及pH值对同型产乙酸反应产物合成的影响。结果表明高pH值有利于同型产乙酸菌利用H2/CO2混合气体进行自养反应,当pH=5、H2/CO2=3:1时的VFAs(包括乙酸、丙酸和丁酸)产量最高,达到3369.89 mg/L,乙酸占比为76.1%。当以葡萄糖与H2/CO2混合气体作为共同碳源时,同型产乙酸菌会优先利用葡萄糖进行异养反应,随后H2/CO2混合气体才开始被利用。显著性分析表明,VFAs含量与pH值之间呈弱相关性,而与H2/CO2呈现出负相关趋势,表明CO2含量对同型产乙酸菌的自养途径影响更大。此外本文还建立了同型产乙酸反应的BP神经网络预测模型,可以准确预测以H2/CO2混合气体为碳源时同型产乙酸菌合成的VFAs产量(R2=0.966)。

    Abstract:

    Industrial syngas contains a large amount of CO2, and the resource utilization of CO2 is of great significance to the current environmental improvement. The homoacetogenesis in the anaerobic fermentation process has two characteristics : autotrophic and heterotrophic. It can use CO2 and H2 to produce acetic acid, and can also degrade glucose to produce volatile fatty acids ( VFAs ). This study intends to use its autotrophic characteristics to explore its ability to convert CO2 into resources, and to explore the effects of headspace H2 / CO2 ratio, carbon source type and pH value on the synthesis of homoacetogenesis reaction products. The results showed that high pH value was conducive to the autotrophic reaction of homoacetogenic bacteria using H2 / CO2 mixed gas. When pH = 5 and H2 / CO2 = 3 : 1, the yield of VFAs ( including acetic acid, propionic acid and butyric acid ) was the highest, reaching 3369.89 mg / L, and the proportion of acetic acid was 76.1 %. When glucose and H2 / CO2 mixed gas were used as a common carbon source, the homoacetogenic bacteria would preferentially use glucose for heterotrophic reaction, and then the H2 / CO2 mixed gas began to be utilized.Significant analysis showed that there was a weak correlation between VFAs content and pH value, but a negative correlation with H2 / CO2, indicating that CO2 content had a greater impact on the autotrophic pathway of homoacetogens. In addition, this paper also established a BP neural network prediction model for homoacetogenic reaction, which can accurately predict the VFAs production of homoacetogenic bacteria with H2 / CO2 mixed gas as carbon source ( R2 = 0.96584 ).

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  • 收稿日期:2024-03-13
  • 最后修改日期:2024-06-03
  • 录用日期:2024-06-04
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