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Dynamic Modelling of Bioconversion of Domestic Wastewater Sludge for Cellulase Enzyme

机译:用于纤维素酶的国内废水污泥生物转化动态建模

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A mathematical modeling of bioconversion of domestic wastewater sludge for cellulase enzyme production was constructed based on the ideal batch mode. The mathematical models was based on the mass balance equation and focused particularly on the biomass, substrate and product rate of reaction. The biomass, substrate and product considered in this project were glucosamine, reducing sugar and cellulase enzyme respectively. The optimal conditions of pH, temperature, inoculum size, substrate concentration, co-substrate concentration and agitation speed were maintained during the simulation. The MATLAB simulation has been done by using modified Monod equation and modified kinetic equations for biomass, substrate and product. The results showed that higher product yields would be achieved when optimal conditions of parameters were held constant, the time constraints was 10 days and 95% of confidence level had been achieved which determined the range of validity of k's values for these models. This study also involved the quantitative analysis and qualitative analysis graphically for validation of models.
机译:基于理想的批量模式,构建了纤维素酶生产的国内废水污泥生物转化的数学建模。数学模型基于质量平衡方程,特别是在生物质,基材和产物反应速率上。该项目中考虑的生物质,底物和产品分别是葡糖胺,还原糖和纤维素酶。在模拟期间保持pH,温度,接种物尺寸,底物浓度,共衬底浓度和搅拌速度的最佳条件。通过使用改进的Monod方程和用于生物质,衬底和产品的改进的动力学方程来完成MATLAB模拟。结果表明,当参数的最佳条件保持恒定时,将达到更高的产品产量,时间约束为10天,已经实现了95%的置信水平,这确定了这些模型的k值的有效范围。本研究还涉及以图形方式进行定量分析和定性分析,用于验证模型。

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