工程菌处理高纯二甲醚生产废水的研究

工程菌LEY7是以假单胞菌D3 菌株 (Pseudomonassp.D3 )为受体 ,以缓慢牙孢杆菌 3RM2 菌株 (Bacilluslentus 3RM2 ) ,假单胞菌W1 (Pseudomonassp .W1 )和W2 (Pseudomonassp .W2 )为供体 ,用多基因转化原生质球构建而成。工程菌LEY7能同时降解 4种化合物。用工程菌LEY7处理化工废水 ,工艺采用二级氧化。处理效果 :进水COD =10 0 0mg/L ,处理后出水COD在 10 0mg/L以下。COD去除率达到 90 %以上。     

饮用水反硝化脱氮方法研究

为去除饮用水中的硝酸盐氮(NO3ˉ-N)，采用上流式厌氧污泥床(UASB)反应器和固定化微生物进行异养反硝化；自制固定化反硝化菌涂层电极和生物电化学脱氮装置，并用于自养反硝化。试验结果表明。若以甲醇为碳源。当碳氮比(C／N)≥1．o时，室温下经UASB处理4h，NO3ˉ-N去除率为97．7％；若以乙酸为碳源。当C／N≥1．0时，30C下经固定化微生物处理6h，N03ˉ-N去除率为98．6％；在无外加碳源的条件下处理东湖现场水样，30C下经60h后。N03ˉ-N去除率达93．5％。生物电化学脱氮装置可迅速建立自养反硝化菌所需的厌氧环境，水样在室温下经72h处理，脱氮率达96．3％。     

Microbial cycling of iron and sulfur in acidic coal mining lake sediments

Lakes caused by coal mining processes are characterized by low pH, low nutrient status, and high concentrations of Fe(II) and sulfate due to the oxidation of pyrite in the surrounding mine tailings. Fe(III) produced during Fe(II) oxidation precipitates to the anoxic acidic sediment, where the microbial reduction of Fe(III) is the dominant electron-accepting process for the oxidation of organic matter, apparently mediated by acidophilic Acidiphilium species. Those bacteria can reduce a great variety of Fe(III)-(hydr)oxides and reduce Fe(III) and oxygen simultaneously which might be due to the small differences in the redox potentials under low pH conditions. Due to the absence of sulfide, Fe(II) formed in the upper 6 cm of the sediment diffuses to oxic zones in the water layer where itcan be reoxidized by Acidithiobacillus species. Thus, acidic conditions are stabilized by the cycling of iron which inhibits fermentative and sulfate-reducing activities. With increasing sediment depth, the amount of reactive iron decrease, the pH increases above 5, and fermentative and as yet unknown Fe(III)-reducing bacteria are also involved in the reduction of Fe(III). Sulfate is reduced apparently by the activity of spore-forming sulfate reducers including new species of Desulfosporosinus that have their pH optimum similar to in situconditions and are not capable of growth at pH 7. However, generation of alkalinity via sulfate reduction is reduced by the anaerobic reoxidation of sulfide back to sulfate. Thus, the microbial cycling of iron at the oxic-anoxic interface and the anaerobic cycling of sulfur maintains environmental conditions appropriate for acidophilic Fe(III)-reducing and acid-tolerant sulfate-reducing microbial communities.     

生态条件和瘤胃菌丛密度与纤维分解的关系

在自行设计装配的人工模拟瘤胃发酵装置内，用90523-1瘤胃菌丛进行瘤胃体外发酵试验，结果表明纤维素的分解与瘤胃细菌的密度及其类群变化有着密切关系，都受生态环境条件的制约。在发酵温度40℃，搅拌速度为60～70r／min的条件下搅动20min／h，C／N为10：1的生态条件环境中的细菌密度和纤维素分解率都高于相同生态条件的其它梯度组。     

ENHANCING FECAL COLIFORM TOTAL MAXIMUM DAILY LOAD MODELS THROUGH BACTERIAL SOURCE TRACKING1

ABSTRACT: Surface water impairment by fecal coliform bacteria is a water quality issue of national scope and importance. In Virginia, more than 400 stream and river segments are on the Commonwealth's 2002 303(d) list because of fecal coliform impairment. Total maximum daily loads (TMDLs) will be developed for most of these listed streams and rivers. Information regarding the major fecal coliform sources that impair surface water quality would enhance the development of effective watershed models and improve TMDLs. Bacterial source tracking (BST) is a recently developed technology for identifying the sources of fecal coliform bacteria and it may be helpful in generating improved TMDLs. Bacterial source tracking was performed, watershed models were developed, and TMDLs were prepared for three streams (Accotink Creek, Christians Creek, and Blacks Run) on Virginia's 303(d) list of impaired waters. Quality assurance of the BST work suggests that these data adequately describe the bacteria sources that are impairing these streams. Initial comparison of simulated bacterial sources with the observed BST data indicated that the fecal coliform sources were represented inaccurately in the initial model simulation. Revised model simulations (based on BST data) appeared to provide a better representation of the sources of fecal coliform bacteria in these three streams. The coupled approach of incorporating BST data into the fecal coliform transport model appears to reduce model uncertainty and should result in an improved TMDL.     

利用微生物技术治理煤矿瓦斯的研究展望

目前,我国的煤矿瓦斯防治技术主要为通风、抽放等物理方法,该类方法仍不能完全满足防治煤矿瓦斯灾害的安全要求。笔者提出一种治理煤矿瓦斯的新思路,采用一种新的控制方法,试图通过生物技术使瓦斯涌出量减少,防治煤矿瓦斯灾害。为此,对应用微生物技术治理煤矿瓦斯的可行性进行了分析,简单介绍了甲烷氧化菌的氧化机理及其在其他领域的应用,并通过初步试验对甲烷氧化菌降解煤样瓦斯的效果进行了测定,从而对其有了感性的认识,在已有的对甲烷氧化菌的研究和初步试验的基础上,对应用甲烷氧化菌解决煤矿瓦斯危害进行了展望。     

稠油污水生化性处理技术研究

为了探讨稠油污水能否使用生物法处理,以生活污水和农药厂生化池原菌种经过诱导驯化,分别培养了可以在稠油污水中生长的好氧菌种革兰氏阴性菌G-1和厌氧菌种革兰氏阴性菌G-2.以G-2和G-1对稠油污水进行顺序处理,可使其BOD5/CODCr达到0.26;采用SBR法对新疆稠油污水放大处理试验的结果：COD降至150 mg/L以下,各项指标达到GB8978-1998二级排放标准.     

PREDICTING FECAL COLIFORM BACTERIA LEVELS IN THE CHARLES RIVER,MASSACHUSETTS, USA1

In Massachusetts, the Charles River Watershed Association conducts a regular water quality monitoring and public notification program in the Charles River Basin during the recreational season to inform users of the river's health. This program has relied on laboratory analyses of river samples for fecal coliform bacteria levels, however, results are not available until at least 24 hours after sampling. To avoid the need for laboratory analyses, ordinary least squares (OLS) and logistic regression models were developed to predict fecal coliform bacteria concentrations and the probabilities of exceeding the Massachusetts secondary contact recreation standard for bacteria based on meteorological conditions and streamflow. The OLS models resulted in adjusted R²s ranging from 50 to 60 percent. An uncertainty analysis reveals that of the total variability of fecal coliform bacteria concentrations, 45 percent is explained by the OLS regression model, 15 percent is explained by both measurement and space sampling error, and 40 percent is explained by time sampling error. Higher accuracy in future bacteria forecasting models would likely result from reductions in laboratory measurement errors and improved sampling designs.     

Biological treatment of clogged emitters in a drip irrigation system

This study was conducted to investigate microbial organisms that can be used for preventing clogging in drip irrigation systems caused by biological factors. A total of 25 fungi isolate and 121 bacterial strains were isolated from water samples collected from drip irrigation systems in tomato greenhouses in the eastern Anatolia region of Turkey in the spring season of 2001. Biological clogging of emitters in a model drip irrigation system was experimentally caused by application of the microorganisms (fungi and bacteria) isolated in the study. Three antagonistic bacterial strains in the genus Bacillus spp (ERZ, OSU-142) and Burkholdria spp (OSU-7) were used for treatment of biological clogging of the emitters. The results showed that the antagonistic bacterial strains tested have the potential to be used as anti-clogging agents for treatment of emitters in drip irrigation system. This is the first study that demonstrated that antagonistic microorganisms can be utilized for treatment of clogging in drip irrigation systems.     

蠡河底泥中反硝化复合菌群富集及菌群结构研究

从无锡市滨湖区蠡河底泥中富集培养反硝化复合菌群,研究其在不同富集培养阶段TN、NO-3-N、NO-2-N、NH+4-N和COD动态变化,分析反硝化过程中气体释放总量、释放速率和成分,通过构建全长16S r DNA克隆文库研究其菌落结构.结果表明,反硝化复合菌群富集在阶段4时脱氮效果最佳,仅在9 h内,330 mg·L-1的TN负荷下,TN去除率达90.9%,NO-3-N去除率达100%,中间产物NO-2-N和NH+4-N积累量最少,分别为3.39 mg·L-1和16.64 mg·L-1,COD去除率达85%;释放气体260m L,气体主要成分为N2,同时还有少量的CH4和CO2等.富集培养反硝化复合菌群细菌属于Pseudomonadaceae科和Rhodocyclaceae科,为Proteobacteria门,OUT丰度分别为57.8%和31.6%,Pseudomonadaceae科是优势类群.