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高硫抗生素废水连续处理系统的pH调控特征研究
引用本文:李慧君,孙晶艳,张燕燕,郑少奎.高硫抗生素废水连续处理系统的pH调控特征研究[J].环境科学,2009,30(8):2288-2292.
作者姓名:李慧君  孙晶艳  张燕燕  郑少奎
作者单位:北京师范大学环境学院,水环境模拟国家重点实验室,北京,100875
基金项目:国家重点基础研究发展规划(973)项目(2006CB403306)
摘    要:以批量处理系统的pH调控特征为对照,研究了不同pH水平(7.0、5.1、4.1)对高硫抗生素废水微好氧连续处理效果和污泥中细菌和酵母菌含量的影响.结果表明,随着曝气柱pH水平的降低,高硫抗生素废水连续处理系统3阶段的COD去除率分别为53%、42%、45%,BOD5去除率分别为79%、58%、50%,污泥脱氢酶活性(TF/MLSS.t)分别为47 088、10 506、14 390mg/(g.h).扫描电镜和荧光原位杂交-流式细胞术联用技术检测结果表明,曝气柱pH值变化并不影响连续小试3阶段污泥中细菌与酵母菌含量,并且细菌始终占据优势地位(含量均达到98%以上).pH水平对高硫抗生素废水批量处理系统和连续处理系统的处理效果存在同样的影响,pH水平并不能作为高硫抗生素废水连续处理系统中细菌和酵母菌含量的调控手段.

关 键 词:pH调控  菌群结构  荧光原位杂交  流式细胞术  抗生素废水  
收稿时间:2008/9/22 0:00:00
修稿时间:2008/12/24 0:00:00

pH Regulation to Continuous Treatment System of High-Sulfur Antibiotic Wastewater
LI Hui-jun,SUN Jing-yan,ZHANG Yan-yan and ZHENG Shao-kui.pH Regulation to Continuous Treatment System of High-Sulfur Antibiotic Wastewater[J].Chinese Journal of Environmental Science,2009,30(8):2288-2292.
Authors:LI Hui-jun  SUN Jing-yan  ZHANG Yan-yan and ZHENG Shao-kui
Institution:State Key Laboratory of Water Environment Simulation;School of Environment;Beijing Normal University;Beijing 100875;China
Abstract:With the pH regulation to the batch-treatment system as a control, the effect of different pH levels, i.e. ,7.0, 5.1, 4.1, on the treatment efficiencies and the contents of yeast and bacteria content in aerated column were investigated for the continuous micro-aerobic treatment system of the antibiotic wastewater. With the decrease in pH levels in aerated column, the COD removals reached 53 % , 42 % and 45% ,respectively,BOD_5 removals were 79% , 58% and 50% ,respectively,and the DHA activities(TF/MLSS·t) of the sludge were 47 088, 10 506 and 14 390 mg/(g·h), respectively, during the three experimental stages. The results on the basis of scanning electron microscope (SEM) and fluorescent in-situ hybridization (FISH)-flow cytometry (FCM) showed that different pH levels didn't affect the contents of yeast and bacteria in the aerated column content at three different pH levels, and bacteria were the dominant microbes with a content of above 98 % throughout the experimental periods. In addition, the variation of pH levels had the same influence on the treatment efficiencies of both continuous treatment system and batch treatment system, although different changes of microbial ecologies happened in these two systems.
Keywords:pH adjustment  microbial community structure  fluorescent in-situ hybridization ( FISH)  flow cytometry ( FCM)  antibiotic wastewater
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