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首页> 外文期刊>Bioprocess and Biosystems Engineering >Experimental studies and two-dimensional modelling of a packed bed bioreactor used for production of galacto-oligosaccharides (GOS) from milk whey
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Experimental studies and two-dimensional modelling of a packed bed bioreactor used for production of galacto-oligosaccharides (GOS) from milk whey

机译:用于从乳清生产半乳糖低聚糖(GOS)的填充床生物反应器的实验研究和二维建模

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摘要

In the present study, extensive experimental investigations and detailed theoretical analysis of a two-dimensional packed bed bioreactor, employed for the production of galacto-oligosaccharides (GOS) from milk whey were performed. Model equations, in one-and two-dimensions, capable of predicting the substrate concentration distribution in the bioreactor were developed by coupling mass balance equation with appropriate velocity distribution equation and solved numerically. Validation of the proposed model equations was done by a set of experimental data obtained from the bioreactor. The effects of reactor to catalyst particle diameter ratio (d(t)/d(p)), feed flowrate (10(-6)-10(-9) m(3) s(-1)), and initial lactose concentration (50-200 kg m(-3)) on substrate concentration distribution were investigated in detail. While, the distribution of substrate concentration in axial direction was independent of d(t)/d(p), it was observed that for d(t)/d(p) <40, significant radial concentration distribution existed. It was further observed that the substrate conversion and product yield obtained experimentally showed an excellent agreement (97 +/- 2 %) with the results predicted by the two-dimensional model equation, whereas, the results predicted by the one-dimensional model equation did not lie within the desired confidence level (<90 %). The results were confirmed by both curve fitting and statistical analysis. The prediction of substrate concentration distribution in axial and radial directions using the developed two-dimensional model equation is necessary for computing the bioreactor volume to achieve the desired GOS yield.
机译:在本研究中,进行了广泛的实验研究和二维填充床生物反应器的详细理论分析,该反应器用于从乳清生产半乳糖低聚糖(GOS)。通过将质量平衡方程与适当的速度分布方程耦合,建立了能够预测生物反应器中底物浓度分布的一维和二维模型方程,并进行了数值求解。通过从生物反应器获得的一组实验数据验证了所提出的模型方程式。反应器与催化剂粒径比(d(t)/ d(p)),进料流量(10(-6)-10(-9)m(3)s(-1)和初始乳糖浓度的影响(50-200 kg m(-3))对底物浓度分布的详细研究。而底物浓度在轴向上的分布与d(t)/ d(p)无关,可以观察到,对于d(t)/ d(p)<40,存在明显的径向浓度分布。进一步观察到,实验获得的底物转化率和产物产率与二维模型方程预测的结果显示出极好的一致性(97 +/- 2%),而一维模型方程预测的结果确实不在期望的置信度内(<90%)。通过曲线拟合和统计分析证实了结果。使用发达的二维模型方程式预测轴向和径向底物浓度分布对于计算生物反应器体积以获得所需的GOS产量是必要的。

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