You Sheng-Jie, Tsai Yung-Pin, Huang Ru-Yi
Department of Bioenvironmental Engineering and R&D Center for Membrane Technology, Chun Yuan Christian University, Chungli, Taiwan.
J Hazard Mater. 2009 Jun 15;165(1-3):987-94. doi: 10.1016/j.jhazmat.2008.10.112. Epub 2008 Nov 5.
To understand the toxic effect of heavy metals on the nitrification mechanisms of activated sludge, this study identified the specific ammonia utilization rate (SAUR) inhibited by Pb, Ni and/or Cd shock loadings. Seven different heavy metal combinations (Pb, Ni, Cd, Pb+Ni, Ni+Cd, Pb+Cd, and Pb+Ni+Cd) with seven different heavy metal concentrations (0, 2, 5, 10, 15, 25, and 40 ppm, respectively) were examined by batch experiments, where the activated sludge was taken from either sequencing batch reactor (SBR) or anaerobic-anoxic-oxic (A(2)O) processes. The experimental results showed the SAUR inhibition rate was Ni>Cd>Pb. No significant inhibition in the nitrification reaction of the activated sludge was observed even when as much as 40 ppm Pb was added. In addition, no synergistic effect was found when different heavy metals were simultaneously added in different concentrations, and the overall inhibition effect depended on the heavy metal with the highest toxicity. Further, first order kinetic reaction could model the behavior of SAUR inhibition on activated sludge when adding heavy metals, and the SAUR inhibition formula was derived as (SAURmax-SAURmin) x e-ric+SAURmin. On the other hand, the heavy metal adsorption ability in both the activated sludge system was Pb=Cd>Ni. The specific adsorption capacity of activated sludge on heavy metal increased as the heavy metal concentration increased or the mixed liquid volatile suspended solid (MLVSS) decreased. The batch experiments also showed the heavy metal adsorption capacity of the SBR sludge was larger than the A(2)O sludge. Finally, the most predominant bacteria in the phylogenetic trees of SBR and A(2)O activated sludges were proteobacteria, which contributed to 42.1% and 42.8% of the total clones.
为了解重金属对活性污泥硝化机制的毒性作用,本研究确定了受铅、镍和/或镉冲击负荷抑制的比氨利用率(SAUR)。通过批次实验研究了七种不同的重金属组合(铅、镍、镉、铅 + 镍、镍 + 镉、铅 + 镉和铅 + 镍 + 镉)以及七种不同的重金属浓度(分别为0、2、5、10、15、25和40 ppm),活性污泥取自序批式反应器(SBR)或厌氧 - 缺氧 - 好氧(A(2)O)工艺。实验结果表明,SAUR抑制率为镍>镉>铅。即使添加高达40 ppm的铅,也未观察到活性污泥硝化反应有明显抑制。此外,当不同浓度的不同重金属同时添加时,未发现协同效应,总体抑制效果取决于毒性最高的重金属。进一步研究发现,添加重金属时,一级动力学反应可模拟SAUR对活性污泥的抑制行为,并推导出SAUR抑制公式为(SAURmax - SAURmin)×e - ric + SAURmin。另一方面,活性污泥系统中重金属的吸附能力为铅 = 镉>镍。活性污泥对重金属的比吸附容量随重金属浓度增加或混合液挥发性悬浮固体(MLVSS)降低而增加。批次实验还表明,SBR污泥的重金属吸附能力大于A(2)O污泥。最后,SBR和A(2)O活性污泥系统系统发育树中最主要的细菌是变形菌门,分别占总克隆数的42.1%和42.8%。