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Response Surface Optimization of Trace Element Requirement for the Production of Volatile Fatty Acids from Excess Sludge

机译:从过量污泥中生产挥发性脂肪酸的痕量元素要求的响应表面优化

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Anaerobic microorganisms involved in VFAs fermentation have inherent requirements for trace metals. It is inferred that excess sludge contains inadequate amounts of bioavailable trace metals for high-rate VFAs fermentation. The unavailability of these trace metals is probably the primary reason of poor yield without any other obvious reason. However, trace metal requirements in VFAs fermentation are not often reported in literature. Therefore, minimum requirements for trace metals including Zn, Co, Cu, Fe and Mn in VFAs fermentation from excess sludge were investigated. Firstly, the effect of each trace metal element on the VFAs production was investigated, respectively. And then, response surface methology was employed to optimize the requirement conditions of these five trace elements. The results showed that these five metal elements had the potential to enhance the production of VFAs, and the improved influences were as follows: Fe > Co > Mn > Cu > Zn. However, the production of VFAs decreased obviously with a further increase of each trace element. The optimal mixed conditions of these five trace elements were found to be 0.0982% Fe, 0.0047% Co, 0.0053% Zn, 0.0038% Cu and 0.0936% Mn. Under the optimal conditions, the concentration of VFAs reached 8410 mg/L, and increased by 2.5 times compare with the control. Finally, the consistent results between the prediction and the experiment indicated that the established polynomial model was feasible, and VFAs production could be described well by this model.
机译:涉及VFAS发酵的厌氧微生物具有痕量金属的固有要求。推断出多余的污泥含有含量不足,用于高速VFA发酵的生物可利用痕量金属。这些痕量金属的不可用可能是不带任何其他明显原因的产量差的主要原因。然而,在文献中通常报告VFA发酵中的痕量金属要求。因此,研究了从多余污泥的VFAS发酵中包括Zn,Co,Cu,Fe和Mn的痕量金属的最低要求。首先,分别研究了每种痕量金属元素对VFAS生产的影响。然后,使用响应表面甲基学,用于优化这五种微量元素的需求条件。结果表明,这五种金属元素有可能增强VFA的产生,改善的影响如下:Fe> Co> Mn> Cu> Zn。然而,随着每种痕量元素的进一步增加,VFA的生产明显下降。发现这五种微量元素的最佳混合条件为0.0982%Fe,0.0047%Co,0.0053%Zn,0.0038%Cu和0.0936%Mn。在最佳条件下,VFA的浓度达到8410mg / L,并与对照相比增加了2.5倍。最后,预测和实验之间的一致结果表明,已建立的多项式模型是可行的,并且可以通过该模型良好描述VFA产生。

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