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不同测定方法探讨重金属对微生物毒性的影响
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  • 英文篇名:Effect of Heavy Metals on Microbial Toxicity by Different Measuring Method
  • 作者:梁玉兰 ; 张小华
  • 英文作者:LIANG Yulan;ZHANG Xiaohua;Minxi Vocational and Technical College;School of Food and Biological Engineering, Jiangsu University;
  • 关键词:重金属 ; 发光细菌 ; 脱氢酶 ; 硝化抑制
  • 英文关键词:heavy metals;;luminescent bacteria;;dehydrogenase;;nitrification inhibition
  • 中文刊名:生态环境学报
  • 英文刊名:Ecology and Environmental Sciences
  • 机构:闽西职业技术学院;江苏大学食品与生物工程学院;
  • 出版日期:2019-01-18
  • 出版单位:生态环境学报
  • 年:2019
  • 期:01
  • 基金:闽西职业技术学院环保技术服务平台项目(2015LY06)
  • 语种:中文;
  • 页:156-163
  • 页数:8
  • CN:44-1661/X
  • ISSN:1674-5906
  • 分类号:X703
摘要
微生物是污水处理工艺中污染物的重要分解者,重金属对活性污泥微生物具有一定毒性。为了研究和比较重金属对活性污泥微生物的毒性影响,采用发光细菌毒性、活性污泥脱氢酶毒性、硝化抑制毒性3种方法测定4种重金属(Hg、Cd、Zn、Pb)对活性污泥微生物的毒性,并对测定结果进行了比较。结果表明,4种重金属均可降低污泥系统COD_(Cr)的去除率,其中,Cd和Hg对COD_(Cr)去除率的影响最明显(43.2%-92.3%和52.4%-92.5%),而Pb和Zn对活性污泥COD_(Cr)去除率的影响较小。发光细菌毒性测定方法的灵敏度最高(达50%以上),测得的重金属半数有效浓度(EC_(50))最低(Hg 9.6 mg·L~(-1),Cd 0.3 mg·L~(-1),Zn 3.6 mg·L~(-1),Pb 13.9 mg·L~(-1)),4种重金属对发光细菌发光强度的抑制程度表现为Hg>Cd>Zn>Pb,发光细菌的发光强度抑制率与重金属的对数浓度呈极显著的线性相关关系(P<0.01),发光细菌发光强度随重金属对数浓度的增大而减小。活性污泥脱氢酶毒性和硝化抑制毒性的测定结果与发光细菌毒性测定结果相比,灵敏度相对较低,测得的重金属EC_(50)相对较高,活性污泥脱氢酶活性的抑制程度大小顺序为Cd>Hg>Zn>Pb,与测得的活性污泥硝化速率抑制程度大小顺序一致,但二者测得的EC_(50)有所差别。4种重金属与活性污泥脱氢酶活性的Logistic回归方程均达到极显著水平(P<0.01),活性污泥SVI值随重金属浓度的增加而升高,当重金属浓度较低时,其对活性污泥SVI的影响并不大。为了更准确地判定重金属对活性污泥微生物的毒性影响,应取不同的重金属毒性终点指示指标进行毒性组实验,而不能以发光细菌毒性的单一测定结果作为评判依据。
        Microorganisms are important decomposers in process of pollutants in sewage, and heavy metals play an important role in the toxicity of activated sludge microorganisms. In order to explore the biotoxicity of heavy metals pollutants, Hg, Cd, Zn and Pb on micro-organism in activated sludge was detected by the three methods of detecting luminous bacteria toxicity, dehydrogenase activity of activated sludge and nitrification inhibition rate. The results showed that four kinds of heavy metal decreased the removal rate of COD_(Cr) of sludge system, and the variations of Cd and Hg on the COD_(Cr) removal rate were significant(43.2%-92.3% and 52.4%-92.5%), while the variations of Pb and Zn on the COD_(Cr) removal rate were lower. Luminescent bacteria toxicity method presented the highest sensitivity(over 50%) and the lowest EC_(50) value(Hg 9.6 mg·L~(-1), Cd 0.3 mg·L~(-1), Zn 3.6 mg·L~(-1), Pb 13.9 mg·L~(-1)); the bio-toxicity of 4 heavy metals followed the sequence of Hg>Cd>Zn>Pb. There was a significant linear correlation between the inhibition rate of luminescence intensity and the logarithm concertration of heavy metals(P<0.01). The other two methods had relatively low sensitivity and high EC_(50) value, and the order of heavy metal bio-toxicity was Cd>Hg>Zn>Pb. Logistic regression equations of dehydrogenase activity of the 4 heavy metals and activated sludge all reached extremely significant levels(P<0.01), and the SVI value of activated sludge increased with the increase of heavy metal concentration. When the heavy metal concentration was low, the SVI value of activated sludge was not significantly influenced. Finally, in order to determine the toxicity of heavy metal pollutants more accurately, at least one set of toxicity test should be targeted at activated sludge, and luminescent bacteria biotoxicity could not be the sole basis to determine the short-term impact on the waste water treatment capacity.
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