Department of Biochemical Engineering, Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6/IV, 10000, Zagreb, Croatia.
Bioprocess Biosyst Eng. 2011 Nov;34(9):1067-80. doi: 10.1007/s00449-011-0555-6. Epub 2011 Jun 16.
Industrial wastewaters polluted with toxic heavy metals are serious ecological and environmental problem. Therefore, in this study multi-heavy metals (Fe(2+), Cu(2+), Ni(2+) and Zn(2+)) removal process with mixed microbial culture was examined in the horizontal rotating tubular bioreactor (HRTB) by different combinations of process parameters. Hydrodynamic conditions and biomass sorption capacity have main impact on the removal efficiency of heavy metals: Fe(2+) 95.5-79.0%, Ni(2+) 92.7-54.8%, Cu(2+) 87.7-54.9% and Zn(2+) 81.8-38.1%, respectively. On the basis of experimental results, integral mathematical model of removal heavy metals in the HRTB was established. It combines hydrodynamics (mixing), mass transfer and kinetics to define bioprocess conduction in the HRTB. Mixing in the HRTB was described by structured cascade model and metal ion removal by two combined diffusion-adsorption models, respectively. For Langmuir model, average variances between experimental and simulated concentrations of metal ions were in the range of 1.22-10.99 × 10(-3) and for the Freundlich model 0.12-3.98 × 10(-3), respectively. On the basis of previous facts, it is clear that developed integral bioprocess model with Freundlich model is more efficient in the prediction of concentration of metal ions in the HRTB. Furthermore, the results obtained also pointed out that the established model is at the same time accurate and robust and therefore it has great potential for use in the scale-up procedure.
受有毒重金属污染的工业废水是严重的生态和环境问题。因此，本研究在水平旋转管式生物反应器（HRTB）中，通过不同的工艺参数组合，考察了混合微生物培养对多种重金属（Fe(2+)、Cu(2+)、Ni(2+)和 Zn(2+)）的去除过程。水动力条件和生物量吸附能力对重金属的去除效率有主要影响：Fe(2+)为 95.5-79.0%，Ni(2+)为 92.7-54.8%，Cu(2+)为 87.7-54.9%，Zn(2+)为 81.8-38.1%。基于实验结果，建立了 HRTB 中去除重金属的积分数学模型。它结合了水动力（混合）、传质和动力学，以定义 HRTB 中的生物过程传导。HRTB 中的混合用结构级联模型描述，金属离子的去除分别用两个组合的扩散-吸附模型描述。对于 Langmuir 模型，金属离子实验和模拟浓度之间的平均方差在 1.22-10.99×10(-3)之间，对于 Freundlich 模型为 0.12-3.98×10(-3)。基于上述事实，显然，带有 Freundlich 模型的开发的积分生物过程模型在预测 HRTB 中金属离子浓度方面更为有效。此外，所得结果还指出，所建立的模型同时具有准确性和稳健性，因此具有在放大过程中应用的巨大潜力。
