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New approach for the assessment of the contribution of adsorption, biodegradation and self-bioregeneration in the dynamic process of biologically active carbon functioning.
Chemosphere ( IF 8.1 ) Pub Date : 2020-01-25 , DOI: 10.1016/j.chemosphere.2020.126022 Serhii Smolin 1 , Ivan Kozyatnyk 2 , Nataliya Klymenko 1
Chemosphere ( IF 8.1 ) Pub Date : 2020-01-25 , DOI: 10.1016/j.chemosphere.2020.126022 Serhii Smolin 1 , Ivan Kozyatnyk 2 , Nataliya Klymenko 1
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This work developed an effective model of the cooperative removal process of organic compounds on biologically active carbon. This model involves the determination of the dynamics of adsorption efficiency and degradation of specific classes of target organic substances but also the dynamics of non-target filling of pores with products of vital microbial activity. It is possible to quantitatively assess the contributions of adsorption, biodegradation and self-bioregeneration in the process of biologically active carbon functioning and the changes in the activated carbon porous properties during the process. The model developed was applied to assess the efficiency of filtration of 2-nitrophenol through a biologically active carbon bed for 38 months. The activated carbon adsorption capacity for removing 2-nitrophenol was preserved after three years of the bed service due to the effective biodegradation that resulted in self-bioregeneration of the sorbent. Nontarget losses of porosity (filling with bioproducts) increased with increasing duration of system operation, and by the end of the experiment, these losses amounted to 61% of the pore volume of the fresh sorbent.
中文翻译：
评估吸附，生物降解和自我生物再生在生物活性碳功能动态过程中贡献的新方法。
这项工作开发了一种有效去除生物活性炭上有机化合物的协同去除过程的模型。该模型涉及确定特定种类的目标有机物质的吸附效率和降解动力学，还涉及用重要微生物活性产物非目标填充孔隙的动力学。可以定量评估生物活性炭功能过程中吸附，生物降解和自我生物再生的贡献以及该过程中活性炭多孔性的变化。开发的模型用于评估38个月内通过生物活性炭床过滤2-硝基苯酚的效率。床使用三年后，由于有效的生物降解作用导致吸附剂自我生物再生，因此保留了去除2-硝基苯酚的活性炭吸附能力。非目标孔隙度损失（充满生物产物）随着系统运行时间的增加而增加，并且到实验结束时，这些损失总计为新鲜吸附剂孔体积的61％。
更新日期：2020-01-26
中文翻译：
评估吸附，生物降解和自我生物再生在生物活性碳功能动态过程中贡献的新方法。
这项工作开发了一种有效去除生物活性炭上有机化合物的协同去除过程的模型。该模型涉及确定特定种类的目标有机物质的吸附效率和降解动力学，还涉及用重要微生物活性产物非目标填充孔隙的动力学。可以定量评估生物活性炭功能过程中吸附，生物降解和自我生物再生的贡献以及该过程中活性炭多孔性的变化。开发的模型用于评估38个月内通过生物活性炭床过滤2-硝基苯酚的效率。床使用三年后，由于有效的生物降解作用导致吸附剂自我生物再生，因此保留了去除2-硝基苯酚的活性炭吸附能力。非目标孔隙度损失（充满生物产物）随着系统运行时间的增加而增加，并且到实验结束时，这些损失总计为新鲜吸附剂孔体积的61％。
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