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A general inhibition kinetics model for ethanol production using a novel carbon source: sodium gluconate

机译:使用新型碳源葡萄糖酸钠生产乙醇的一般抑制动力学模型

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In this study, sodium gluconate was applied as a novel carbon source for the fuel ethanol production using an engineered Escherichia coli strain KO11 in batch fermentations. Ethanol and acetic acid were produced as two major products as well as small amount of lactic acid during the fermentation. Compared to the conventional carbon source glucose, the bioconversion of sodium gluconate possessed two distinct advantages: faster utilization rate of sodium gluconate (1.66 g/L per h) compared to glucose (0.996 g/L per h) and no requirement for pH control during fermentation. A general inhibition model including both substrate and products inhibitory effects was proposed, which adequately simulated batch fermentation kinetics at various concentrations of sodium gluconate. All of the products showed inhibitory effects on cell growth. The order of the inhibitory strength of all products and substrate was for the first time clarified in this study. Acetic acid was the most inhibitory product mitigating the cell growth, followed by ethanol and lactic acid. Sodium gluconate stimulated cell growth when its concentration was below 16 g/L, while it inhibited the cell growth when the concentration was above this concentration. It completely inhibited the cell growth when the concentration was 325 g/L. The high value of both the coefficient of determination (R2) and the adjusted R2 verified the good fit of the model. This paper provides key insights into further engineering these strains to improve ethanol production.
机译:在这项研究中,使用葡萄糖酸钠作为新的碳源,使用工程大肠杆菌KO11在分批发酵中生产燃料乙醇。在发酵过程中,乙醇和乙酸是两种主要产品,同时也产生了少量的乳酸。与常规碳源葡萄糖相比,葡萄糖酸钠的生物转化具有两个明显的优势:与葡萄糖(0.996 g / L / h)相比,葡萄糖酸钠的利用率更高(1.66 g / L / h),并且在操作过程中无需进行pH控制发酵。提出了包括底物和产物抑制作用的通用抑制模型,该模型可以充分模拟在不同浓度的葡萄糖酸钠下的分批发酵动力学。所有产品均显示出对细胞生长的抑制作用。在本研究中首次阐明了所有产品和底物的抑制强度顺序。乙酸是最能减轻细胞生长的抑制产物,其次是乙醇和乳酸。葡萄糖酸钠浓度低于16 g / L时可刺激细胞生长,而浓度高于此浓度时可抑制细胞生长。当浓度为325 g / L时,它完全抑制了细胞的生长。确定系数(R2)和调整后的R2均较高,证明了模型的良好拟合性。本文提供了深入研究这些菌株以提高乙醇产量的关键见识。

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