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首页> 外文期刊>Enzyme and Microbial Technology >Investigation of the combined effects of external mass transfer and biodegradation rates on phenol removal using immobilized P-putida in a packed-bed column reactor
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Investigation of the combined effects of external mass transfer and biodegradation rates on phenol removal using immobilized P-putida in a packed-bed column reactor

机译:在固定床反应器中使用固定化的P-putida研究外部传质和生物降解速率对苯酚去除的综合影响

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摘要

A quantitative analysis of external mass transfer combined with a biodegradation reaction and correlation of the experiment with theory was performed for phenol removal using calcium-alginate gel-immobilized P. putida in a packed-bed column reactor Assuming first-order biodegradation kinetics, pseudo first-order biodegradation rate constants (k(p)) were calculated. To investigate the effect of external film diffusion on the biodegradation rate, various mass transfer correlation models of the type j(D) = KNRe-(l-n) were systematically tested and the mass transfer coefficients (k(m)) were calculated as a function of the mass flux (G) and the Reynolds number (N-Re) at different n values. The intrinsic first-order biodegradation rate constants (k) and the surface areas per unit weight of dried cells for mass transfer (A(m)) were determined from 1/k(p) vs. I/G(n) plots at the same n values. Finally, combining the k values with k(m)A(m) values, the pseudo first-order biodegradation rate constants (k(p)) were calculated again and compared with the k(p) values determined from experimental data; thus, it was decided that the mass transfer correlation j(D) = 1.625 Re-0.507 accurately predicted our experimental data. (C) 1998 Elsevier Science Inc. [References: 18]
机译:在填充床柱反应器中使用藻酸钙凝胶固定的恶臭假单胞菌进行了外部传质与生物降解反应相结合的定量分析,并将实验与理论进行了关联,以去除苯酚。计算了阶生物降解速率常数(k(p))。为了研究外部膜扩散对生物降解速率的影响,系统测试了各种类型的j(D)= KNRe-(ln)传质相关模型,并计算了传质系数(k(m))作为函数不同n值的质量通量(G)和雷诺数(N-Re)的关系。固有的一阶生物降解速率常数(k)和用于传质的干细胞每单位重量的表面积(A(m))是根据在图1中的1 / k(p)与I / G(n)曲线确定的。相同的n个值。最后,将k值与k(m)A(m)值相结合,再次计算伪一级生物降解速率常数(k(p)),并将其与根据实验数据确定的k(p)值进行比较;因此,可以确定传质相关性j(D)= 1.625 Re-0.507准确地预测了我们的实验数据。 (C)1998 Elsevier Science Inc. [参考:18]

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