反气相色谱法测定麦饭石对苯类的吸附

以麦饭石为吸附质，采用反气相色谱法测定了载气流量、麦饭石装柱质量和载气湿度对吸附等温线测定的影响，测定了苯等４种挥发性芳香类有机物在麦饭石颗粒上的吸附焓。结果表明，在水蒸汽存在的条件下，苯等４种挥发性有机物在麦饭石颗粒上的吸附能遵循理想气相色谱方程，且测得的吸附焓和其蒸发焓较接近。     

供应链信息风险的形成机理和防范对策

笔者首先论述了供应链的信息风险 ,即牛鞭效应 ,供应链中的逆向选择、败德行为 ;然后分别从管理学角度、经济学理论、系统论分析了供应链信息风险形成的机理 ;最后 ,根据信息风险的机理 ,通过利用现代信息技术 ,建立激励机制 ,签定合同中防范牛鞭效应 ,防范供应链中的逆向选择和败德行为的发生。     

石油污染土壤生物修复过程中氮循环功能基因的动态检测

氮循环相关功能微生物在土壤发挥其生态功能中起着重要的作用.为定量分析其中的固氮细菌、反硝化细菌和硝化细菌在石油污染土壤生物修复过程中的演变情况,采用了实时定量PCR技术对其相关功能基因nifH、narG和amoA的拷贝数进行检测.结果表明,污染土壤中nifH、narG和amoA基因拷贝数及其占总16S rRNA基因拷贝数的比例远低于正常土壤,修复后土壤中的同类分析结果与正常土壤接近.表明石油污染物破坏了氮循环相关菌落结构,而生物修复则使其得以恢复.进一步分析了不同修复方式下氮循环功能基因的恢复情况以及土壤中石油烃降解率.也表明同时添加秸秆和菌剂具有最好的修复效果,处理40 d后其nifH、narG和amoA基因拷贝数（以干土计）分别恢复到2.68×106、1.71×106和8.54×104g-1,石油烃降解率达到48%.投加真菌-细菌复合菌剂的效果优于只投加细菌菌剂的效果.本研究结果表明氮循环功能基因的动态监测可以从基因和物种水平上反映土壤修复的效果,为土壤修复的监控和效果评估提供参考.     

崇明东滩夏季沉积物厌氧氨氧化菌群落结构与空间分布特征

为探索长江口崇明东滩表层沉积物中是否存在厌氧氨氧化菌以及厌氧氨氧化菌的群落结构与空间分布特征,以崇明东滩高、中、低潮滩夏季表层沉积物中总DNA为模板,PCR扩增沉积物样品中厌氧氨氧化菌特异性16S rDNA片段,通过克隆、测序,构建相应基因文库,将文库中有效克隆序列分别提交到GenBank中进行相似序列搜索,并利用MEGA5绘制系统发育树.分析结果发现,克隆序列CM-L-7和CM-L-18与已发现厌氧氨氧化菌Candidatus"Scalindua sp."同源性达98%,CM-L-13与Candidatus"Scalindua wagneri"同源性达94%,CM-M-6与Candidatus"Kuenenia sp."同源性达94%,CM-M-22与Anaerobicammonium-oxidizing planctomycete JMK-1的同源性达95%,CM-H-15与Candidatus"Kuenenia stuttgartiensis"的同源性达94%.表明,崇明东滩高、中、低潮滩表层沉积物中均存在厌氧氨氧化菌,但所属菌属不同,低潮滩以Candidatus"Scalindua"为主,中、高潮滩以Candidatus"Kuenenia"为主.相比之下,中潮滩厌氧氨氧化菌群落结构较为复杂.部分克隆序列与已发现厌氧氨氧化菌存在较大进化距离,表明崇明东滩可能还存在其他具有潜在厌氧氨氧化功能的细菌.     

基于引物的湖泊沉积物氨氧化细菌PCR扩增策略比较

PCR扩增是检测环境中β-变形杆菌纲氨氧化细菌(β-AOB)群落的主要方法,但是引物的敏感性和特异性对结果具有关键影响.本研究首先比较了2组常用的β-AOB 16S rRNA基因引物,结果显示,在扩增一组不同性质湖泊沉积物样品时,βAMO引物均获得明亮的单一条带,但CTO引物则未能全部扩增.克隆及序列分析证实,βAMO引物扩增获得的序列均不属于β-AOB所在的Nitrosomonadales目,而CTO引物扩增获得的序列来自β-AOB中的Nitrosomonas europaea/"Nitrosococcus mobilis"分支.采用变性梯度凝胶电泳方法,对4种不同引物组合PCR策略扩增所得产物进行分析,发现以βAMO或16S rRNA通用引物结合CTO引物的巢式方案可以提高扩增的效率,且β-AOB的群落轮廓与CTO引物直接扩增方案高度相似.这些结果表明βAMO引物具有较高的敏感性但特异性较低,而CTO引物则相反.因此,特定巢式扩增方案既可提高扩增的效率,也能真实反映湖泊沉积物中β-AOB的群落轮廓,是较为理想的β-AOB研究方法.     

Effect of a high strength chemical industry wastewater on microbial community dynamics and mesophilic methane generation

A high strength chemical industry wastewater was assessed for its impact on anaerobic microbial com- munity dynamics and consequently mesophilic methane generation. Cumulative methane production was 251 mL/g total chemical oxygen demand removed at standard temperature and pressure at the end of 30 days experimental period with a highest recorded methane percentage of 80.6% of total biogas volume. Volatile fatty acids （VFAs） analysis revealed that acetic acid was the major intermediate VFAs produced with propionic acid accumulating over the experimental period. Quantitative analysis of microbial communities in the test and control groups with quantitative real time polymerase chain reaction highlighted that in the test group, Eubacteria （96.3%） was dominant in comparison with methanogens （3.7%）. The latter were dominated by Methanomicrobiales and Methanobacteriales while in test groups increased over the experimental period, reaching a maximum on day 30. Denaturing gradient gel electrophoresis profile was performed, targeting the 16S rRNA gene of Eubacteria and Archaea, with the DNA samples extracted at 3 different time points from the test groups. A phylogenetic tree was constructed for the sequences using the neighborhood joining method. The analysis revealed that the presence of organisms resembling Syntrophomonadaceae could have contributed to increased production of acetic and propionic acid intermediates while decrease of organisms resembling Pelotomaculum sp. could have most likely contributed to accumulation of propionic acid. This study suggested that the degradation of organic components within the high strength industrial wastewater is closely linked with the activity of certain niche microbial communities within eubacteria and methanogens.     

中温和高温厌氧生物产氢反应器连续运行的研究

采用2个厌氧生物产氢反应器分别在中温(37℃)和高温(55℃)下连续运行.以河底沉积物接种,葡萄糖为基质,在CSTR中成功实现了连续中温厌氧产氢,最高产氢量达8.6L/(L·d),基质产氢摩尔比(H₂/葡萄糖)为1.98.以厌氧产甲烷颗粒污泥接种,蔗糖为基质,在UASB反应器中成功实现了连续高温厌氧产氢过程,最高产氢量达6.8L/(L·d),基质产氢摩尔比(H₂/蔗糖)为3.6.在高温UASB反应器中培养获得了灰白色的产氢颗粒污泥,平均粒径为0.8～1.2mm,沉速为30～40m/h,电镜观察发现其表层生长大量杆状细菌.对2种产氢污泥的总DNA进行提取和纯化,通过PCR扩增和DGGE分析,发现高温和中温厌氧产氢污泥中的大部分真细菌种类相同,但各自的优势菌种明显不同.     

Inverse modeling of multicomponent reactive transport through single and dual porosity media

Compacted bentonite is foreseen as buffer material for high-level radioactive waste in deep geological repositories because it provides hydraulic isolation, chemical stability, and radionuclide sorption. A wide range of laboratory tests were performed within the framework of FEBEX (Full-scale Engineered Barrier EXperiment) project to characterize buffer properties and develop numerical models for FEBEX bentonite. Here we present inverse single and dual-continuum multicomponent reactive transport models of a long-term permeation test performed on a 2.5 cm long sample of FEBEX bentonite. Initial saline bentonite porewater was flushed with 5.5 pore volumes of fresh granitic water. Water flux and chemical composition of effluent waters were monitored during almost 4 years. The model accounts for solute advection and diffusion and geochemical reactions such as aqueous complexation, acid-base, cation exchange, protonation/deprotonation by surface complexation and dissolution/precipitation of calcite, chalcedony and gypsum. All of these processes are assumed at local equilibrium. Similar to previous studies of bentonite porewater chemistry on batch systems which attest the relevance of protonation/deprotonation on buffering pH, our results confirm that protonation/deprotonation is a key process in maintaining a stable pH under dynamic transport conditions. Breakthrough curves of reactive species are more sensitive to initial porewater concentration than to effective diffusion coefficient. Optimum estimates of initial porewater chemistry of saturated compacted FEBEX bentonite are obtained by solving the inverse problem of multicomponent reactive transport. While the single-continuum model reproduces the trends of measured data for most chemical species, it fails to match properly the long tails of most breakthrough curves. Such limitation is overcome by resorting to a dual-continuum reactive transport model.     

Laboratory longitudinal diffusion tests: 2. Parameter estimation by inverse analysis

This study focuses on the verification of test interpretations for different state analyses of diffusion experiments. Part 1 of this study identified that steady, quasi-steady and equilibrium state analyses for the through- and in-diffusion tests with solution reservoirs are generally feasible where the tracer is not highly sorptive. In Part 2 we investigate parameter identifiability in transient-state analysis of reservoir concentration variation using a numerical approach. For increased generality, the analytical models, objective functions and Jacobian matrix necessary for inverse analysis of transient-state data are reformulated using unified dimensionless parameters. In these dimensionless forms, the number of unknown parameters is reduced and a single dimensionless parameter represents the sorption property. The dimensionless objective functions are evaluated for individual test methods and parameter identifiability is discussed in relation to the sorption property. The effects of multiple minima and measurement error on parameter identifiability are also investigated. The main findings are that inverse problems for inlet and outlet reservoir concentration analyses are generally unstable and well-posed, respectively. Where the tracer is sorptive, the inverse problem for the inlet reservoir concentration analysis may have multiple minima. When insufficient measurement data is collected, multiple solutions may result and this should be taken into consideration when inversely analyzing data including that of inlet reservoir concentration. Verification of test interpretation by cross-checking different state analyses is feasible where the tracer is not highly sorptive. In an actual experiment, test interpretation validity is demonstrated through consistency between theory and practice for different state analyses.