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首页> 外文期刊>The Korean journal of chemical engineering >Characterization of molecular biological indicators to define stabilization of landfills
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Characterization of molecular biological indicators to define stabilization of landfills

机译:表征分子生物学指标以定义垃圾填埋场的稳定性

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This study was assessed such that a molecular biological investigation in uncontrolled landfills can be comparably used for characterizing its stability in association with the conventional water quality parameters. At first, the microbiological diversity in two landfill sites (Cheonan and Wonju landfills in Korea) was identified by 16s rDNA cloning. It was also quantitatively investigated for denitrification enzyme coding genes (nitrite reductase; nirS and nitric oxide reductase; cnorB) and methane producing enzyme coding gene (methyl coenzyme M reductase; MCR) by realtime polymerase chain reaction. The copy numbers of nirS and cnorB in Cheonan were higher than those in Wonju, which was well reflected from the time difference after site closure, respectively. The greatest number of MCR, nirS and cnorB genes of C1 spot (Cheonan) verified that it was immediately bordering the sources, which was steeply decreased toward the outer boundary landfill. Cheonan landfill is more rapidly stabilized based on molecular biological indicator even if the present state of Wonju landfill is more stable based on BOD and COD concentrations. However, the comparison between the copy number of these genes and the conventional water quality monitoring parameters addressed that those of parameters have similar patterns, especially for the source or the boundary. It was concluded that the molecular biological parameters could be used for determining microbial stability toward down-gradient around the uncontrolled sites.
机译:对这项研究进行了评估,以便可以将不受控制的垃圾填埋场的分子生物学研究与常规水质参数相比较,以表征其稳定性。首先,通过16s rDNA克隆鉴定了两个垃圾填埋场(韩国天安和原州垃圾填埋场)的微生物多样性。还通过实时聚合酶链反应定量研究了反硝化酶编码基因(亚硝酸盐还原酶; nirS和一氧化氮还原酶; cnorB)和产甲烷酶编码基因(甲基辅酶M还原酶; MCR)。天安市的nirS和cnorB的拷贝数高于原州,这可以从站点关闭后的时间差异中很好地反映出来。 C1点(天安号)的MCR,nirS和cnorB基因数量最多,证明它与源头接壤,并朝着外边界填埋场急剧下降。基于分子生物学指标,即使基于BOD和COD浓度,原州垃圾填埋场的现状更加稳定,天安垃圾填埋场也会更加稳定。但是,这些基因的拷贝数与常规水质监测参数之间的比较表明,这些参数具有相似的模式,尤其是对于水源或边界。结论是,分子生物学参数可用于确定微生物在不受控制的部位周围向下下降的稳定性。

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