辉光放电等离子体氧化降解水中邻苯二甲酸二丁酯

研究了辉光放电等离子体降解水中典型的环境内分泌干扰物邻苯二甲酸二丁酯(DBP)及降解过程中过氧化氢(H2O2)的生成规律。考察了电解质种类、共存污染物(甲醇、叔丁醇)及催化剂等条件对DBP降解及H2O2生成的影响。结果表明,在硫酸钠溶液中DBP降解效率和H2O2生成速率最高;甲醇、叔丁醇等共存污染物对DBP降解和H2O2生成有抑制作用;Fe2+,Fe3+和Cu2+对DBP的降解有催化作用,其催化效果为Fe2+>Fe3+>Cu2+。用高效液相色谱、离子色谱及气质联用仪等仪器分析了降解中间产物,提出了可能的降解机理。     

Determination of specific gravity of municipal solid waste

This investigation was conducted to evaluate experimental determination of specific gravity (G_s) of municipal solid waste (MSW). Water pycnometry, typically used for testing soils was adapted for testing MSW using a large flask with 2000 mL capacity and specimens with 100–350 g masses. Tests were conducted on manufactured waste samples prepared using US waste constituent components; fresh wastes obtained prior and subsequent to compaction at an MSW landfill; and wastes obtained from various depths at the same landfill. Factors that influence specific gravity were investigated including waste particle size, compaction, and combined decomposition and stress history. The measured average specific gravities were 1.377 and 1.530 for as-prepared/uncompacted and compacted manufactured wastes, respectively; 1.072 and 1.258 for uncompacted and compacted fresh wastes, respectively; and 2.201 for old wastes. The average organic content and degree of decomposition were 77.2% and 0%, respectively for fresh wastes and 22.8% and 88.3%, respectively for old wastes. The G_s increased with decreasing particle size, compaction, and increasing waste age. For fresh wastes, reductions in particle size and compaction caused occluded intraparticle pores to be exposed and waste particles to be deformed resulting in increases in specific gravity. For old wastes, the high G_s resulted from loss of biodegradable components that have low G_s as well as potential access to previously occluded pores and deformation of particles due to both degradation processes and applied mechanical stresses. The G_s was correlated to the degree of decomposition with a linear relationship. Unlike soils, the G_s for MSW was not unique, but varied in a landfill environment due both to physical/mechanical processes and biochemical processes. Specific gravity testing is recommended to be conducted not only using representative waste composition, but also using representative compaction, stress, and degradation states.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

假单胞菌好氧降解四溴双酚A的特性

为了解四溴双酚A(TBBPA)的好氧降解特性,采用选择富集法从活性污泥中分离出一株能够高效降解四溴双酚A的菌株。根据其形态、生理生化特性及16S rDNA核苷酸序列分析,该菌株被鉴定为假单胞菌属(Pseudomonas sp.)。研究结果表明,该菌株可通过好氧共代谢方式实现四溴双酚A的降解,葡萄糖是四溴双酚A降解的最佳碳源,其最优降解条件为葡萄糖8 g/L,牛肉膏0.5 g/L,pH值为7.0,培养温度为35℃,摇床转速为150 r/min。在该条件下其生物降解过程符合一级动力学模型,6 d后的降解率高达95.6%。LC-MS结果表明,四溴双酚A在好氧降解过程中会生成异丙苯酚类物质。     

TiO2-Cu2O/蒙脱土复合光催化剂的制备与性能

以钠基蒙脱土（MMT）为载体,先采用溶胶-凝胶法将纳米TiO₂引入到MMT层间,再采用化学沉积法将纳米Cu₂O负载在TiO₂/MMT上,制备出TiO₂-Cu₂O/MMT纳米复合光催化剂。采用XRD、SEM、紫外-可见漫反射技术对催化剂进行了表征。以甲基橙为目标污染物,考察了催化剂的光催化性能。表征结果显示：TiO₂与Cu₂O均匀分布在MMT的表面与片层孔隙中;TiO₂-Cu₂O/MMT结合了TiO₂和Cu₂O的特性,拓宽了催化剂的光吸收范围。实验结果表明,在光源为可见光、初始甲基橙质量浓度为20 mg/L、光催化剂加入量为2 g/L的条件下,TiO₂-Cu₂O/MMT纳米复合光催化剂对甲基橙的光催化降解效果明显优于单一负载的Cu₂O/MMT和TiO₂/MMT,大幅提高了催化剂的光催化效率,反应300 min时TiO₂-Cu₂O/MMT对甲基橙溶液的脱色率达到93%。     

钛基金属氧化物电极的制备及性能

采用聚合物前驱体法制备了Ti/SnO₂-Sb₂O₃电极,再通过恒电流电沉积法制备了 Ti/SnO₂-Sb₂O₃/PbO₂和Ti/SnO₂-Sb₂O₃/MnO₂电极。采用SEM技术对3种金属氧化物电极表面的形貌进行了表征,并分别以3种电极为阳极进行了苯酚的电催化氧化实验。实验结果表明：电解时间为2.5 h时,Ti/SnO₂-Sb₂O₃电极、Ti/SnO₂-Sb₂O₃/PbO₂电极和Ti/SnO₂-Sb₂O₃/MnO₂电极对苯酚的降解率分别为85.9%,83.2%,44.6%;苯酚在3种电极上的电催化氧化反应均遵循一级反应动力学方程;苯酚在Ti/SnO₂-Sb₂O₃ 电极和Ti/SnO₂-Sb₂O₃/PbO₂电极上的反应速率较快,并具有较高的析氧电位;Ti/SnO₂-Sb₂O₃/PbO₂电极具有更好的耐腐蚀性和更长的使用寿命。     

纳米TiO2-石墨烯光催化剂的水热合成及其光催化性能

以钛酸四正丁酯和石墨为原料,通过水热法制备了锐钛矿型为主的纳米TiO2复合光催化剂（纳米TiO2-石墨烯）,并采用XRD,FTIR,FESEM,TEM技术对其进行了表征。通过紫外光照射降解溶液中的罗丹明B（RhB）研究了TiO2-石墨烯的光催化活性,分析了初始罗丹明B质量浓度、催化剂加入量、溶液pH和催化剂使用次数等影响降解效果的因素。实验结果表明：在初始RhB质量浓度为20 mg/L、溶液pH为7.10、催化剂加入量为1.000 g/L的条件下,紫外光照射30 min时,纳米TiO2-石墨烯对RhB的降解率高达98.69%,明显高于纳米TiO2的44.69%;纳米TiO2-石墨烯稳定性较强,可多次重复使用。     

用于石油污染土壤降解的高效降解菌的筛选及其降解条件优化

经过富集、分离优选出高效石油降解菌L-1,根据形态观察和生理生化特征初步鉴定为琼氏不动杆菌;采用单因素花盆实验模拟微生物原位修复并对其降解条件进行优化。结果表明,将高效石油降解菌应用于修复石油污染土壤,适宜接种量、表面活性剂浓度、CNP比、翻耕频率分别为15%、0.1%、100∶10∶1和1 d 1次;在该降解条件下修复28 d,可达到16.80%的石油降解率,远远高于土著微生物6.92%的降解率。     

降解SO2功能菌的16S rRAN基因测序及降解特性

用低浓度SO2诱导驯化方法获得高效脱硫菌群,并用分离培养与16S rRNA基因测序技术相结合的方法鉴定菌群种属,分析驯化过程中种群结构的动态变化,同时研究分离纯菌种的脱硫性能。结果表明,从诱导驯化7 d和14 d菌液中分别分离出23株菌和22株菌,16S rRNA序列分析发现这些菌归属于13个种,其中有6个种(Rhodococcus erythropolis、Pseudomonas putida、Microbacterium oxydans、Sphingomonas koreensis、Acinetobacter junii、Acinetobacter johnsonii)对SO2-3有较强的降解能力,并在持续驯化过程中稳定的生长传代,降解产物以硫酸根为主,还有极少量的单质硫。与含混合菌的驯化菌液降解SO2-3的能力相比,单一脱硫菌的脱硫性能较弱。脱硫功能菌株及其基本特性的研究为微生物处理SO2烟气提供了丰富的菌源信息和理论基础。     

低温硝基苯降解菌选育及在土壤修复中的应用

从硝基苯污染地下水中筛选出一株以硝基苯为唯一碳源和氮源的低温、高效降解菌,命名为XJ菌;初步鉴定XJ菌为革兰氏阴性微小短杆细菌、恶臭假单胞菌属,降解硝基苯遵循部分还原降解途径;在10℃下培养96 h,XJ菌对硝基苯的降解去除率达到91.1%,其中约有67.1%的硝基氮素转变成了氨氮。在10℃下利用XJ菌修复硝基苯污染土壤,修复时间为96 h时,硝基苯去除率达到85.7%,XJ菌密度及微生物脱氢酶活性保持较高的水平。本研究可为低温下硝基苯污染土壤的生物修复提供参考。