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Mechanistic Model for the Reclamation of Industrial Wastewaters Using Algal-Bacterial Photobioreactors

机译：藻类细菌光生物反应器回收工业废水的机理模型

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摘要

A mechanistic model describing the steady-state biodegradation of inhibitory pollutants by algal-bacterial consortia in enclosed chemostat photobioreactors was developed. The model was then validated against experimental data on salicylate removal by a Chlorella Sorokiniana/Ralstonia basilensis consortium cultivated without external O_2 supplied in an enclosed chemostat photobioreactor under various conditions of photon flux radiation, salicylate inlet concentrations, temperatures, and hydraulic retention times (HRT). A satisfactory fit of experimental data was achieved in both the fitting and validation data sets (11% of average relative error). The model was thus capable of describing satisfactorily the influence of the HRT and the combined increase of light input and temperature on salicylate removal efficiency (RE). The potential inhibitory effect of salicylate was considered into the model structure based on the influence of salicylate concentration on microalgae photosynthetic activity. Only four adjustable parameters were necessary when using this modeling approach, which significantly reduces the number of experimental kinetic and stoichiometric coefficients needed for process description. Variables such as reactor geometry and light absorption characteristics of the biomass were grouped into a single parameter, which highly simplifies photobioreactor modeling. Being based on stoichiometric, thermodynamic, and mass balances analysis, this model can be extended to the removal of any organic pollutant in industrial wastewaters and to any photobioreactor configuration. It therefore provides an important tool to assess the feasibility of pollutant biodegradation under full photosynthetic oxygenation (i.e., no external O_2 supply) and to optimize photobioreactors by establishing the conditions under which complete pollutant removal can be achieved. The model herein developed also provides a tool to better understand the complex relationships between microalgae, bacteria, light, and pollutant concentration, which will promoternthe development of algal-bacterial processes as a cost-effective alternative for wastewater reclamation and algae production from wastewater.
机译：建立了描述封闭式恒化器光生物反应器中藻类菌群对抑制性污染物进行稳态生物降解的机理模型。然后，通过在不同的光子通量辐射，水杨酸盐入口浓度，温度和水力停留时间（HRT）的各种条件下，在封闭的恒化器光生物反应器中在无外部O_2的条件下培养的无绿藻/罗氏小球藻组成的小球藻对水杨酸盐去除的实验数据验证了该模型。 。在拟合和验证数据集中均获得了令人满意的实验数据拟合（平均相对误差的11％）。因此，该模型能够令人满意地描述HRT以及光输入和温度的组合增加对水杨酸盐去除效率（RE）的影响。基于水杨酸盐浓度对微藻光合活性的影响，将水杨酸盐的潜在抑制作用考虑到模型结构中。使用这种建模方法时，仅需要四个可调参数，这大大减少了过程描述所需的实验动力学和化学计量系数的数量。诸如反应器的几何形状和生物质的光吸收特性之类的变量被分组为一个参数，从而大大简化了光生物反应器的建模。基于化学计量，热力学和质量平衡分析，此模型可以扩展为去除工业废水中的任何有机污染物和任何光生物反应器配置。因此，它提供了一个重要的工具，可用来评估在完全光合作用的氧化作用下污染物生物降解的可行性（即没有外部O_2供给），并通过建立可以完全去除污染物的条件来优化光生物反应器。本文开发的模型还提供了一种工具，可以更好地了解微藻，细菌，光和污染物浓度之间的复杂关系，这将促进藻细菌工艺的发展，作为废水回收和从废水中产生藻类的一种经济有效的替代方法。

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  • 来源
    《Environmental Science & Technology》 |2009年第9期|3200-3207|共8页
  • 作者

    SERGIO BORDEL; BENOIT GUIEYSSE; RAUL MUNOZ;

  • 作者单位

    Department of Chemical and Biological Engineering, Chalmers University of Technology, Kemivaegen 10, Goeteborg, Sweden;

    School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand;

    Department of Chemical Engineering and Environmental Technology, Valladolid University, Paseo del Prado de la Magdalena, sin, Valladolid, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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