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Evaluation of volumetric mass transfer coefficient in a stirred tank bioreactor using response surface methodology

机译:对体积传质系数的评价在搅拌釜反应器使用响应表面的方法

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摘要

Stirred tank reactors are most commonly used both in the laboratory and industry. Particularly for bioreactors, the volumetric mass transfer coefficient (k(L)a) of oxygen is used as one of the important parameters for determining efficiencies of reactors and for successful scale-up. A number of correlation methods have been previously developed to predict the k(L)a in stirred tank bioreactors. In the present work, we propose a new correlation for k(L)a based on a mathematical and statistical approach using Response Surface Methodology (RSM) based on Box-Behnken design of experiments. This correlation includes the effect of various parameters such as impeller agitation rate (50-800 rpm), air flow rate (0.5-3.5 L/min), and temperature (10-40 degrees C) for different impeller configurations (single and dual Rushton, pitched blade, and mixed turbines). It was observed that the k(L)a increases with increasing the parameters for all the impeller configurations studied. Among the operating parameters, the most significant variable impacting k(L)a was found to be agitation rate, followed by air flow rate, and temperature. The models developed using RSM successfully interpreted the experimental k(L)a and were further validated under other operating conditions. It was also found that, compared with conventional power-law models, the RSM approach enables a more efficient correlation procedure and formulates simplified models with comparably high accuracy, suggesting that the RSM is promising for evaluation of oxygen mass transfer in stirred tank bioreactors. (c) 2018 American Institute of Chemical Engineers Environ Prog, 38: 387-401, 2019
机译:搅拌釜反应器是最常用的两种在实验室和工业。生物反应器的容积传质系数(k (L))的氧气是用作之一确定的重要参数效率的反应堆和成功扩大。之前开发的预测的k (L)搅拌釜的生物反应器。提出一种新的相关基于k (L)数学和统计方法使用基于响应面方法(RSM)Box-Behnken实验设计。相关性包括各种各样的影响叶轮搅拌速度等参数(50 - 800 rpm),空气流量(0.5 - -3.5 L / min)对不同温度(10-40摄氏度)叶轮配置(单和双拉什顿,把刀片和混合涡轮机)。观察到的k (L)的增加而增加所有叶轮的参数配置研究。参数,最重要的变量影响k(左)被发现搅拌速度,其次是空气流量和温度。模型用RSM开发成功解释实验k (L),进一步验证了在其他操作条件。传统的幂律模型,RSM方法使更有效的相关程序和制定与相对简化模型精度高,这表明RSM承诺的评价氧传质在搅拌釜生物反应器。化学工程师学会环境掠夺,38:387-401, 2019

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