老化过程中铜形态变化的X射线吸收精细结构谱的(XAFS)初步研究

利用X射线吸收精细结构谱(XAFS)对老化过程中土壤中铜的分子形态进行初步表征。以硫酸铜、氧化铜和硫化铜的X射线吸收扩展边结构(EXAFS)谱为参比,对土壤样品中Cu的EXAFS谱进行拟合,得到不同老化阶段与参比物质相对应的结合态Cu的百分含量,并与连续提取法表征进行比较。XAFS分析结果表明,老化阶段土壤样品中铜的主要结合形态是CuSO_4,同时还有部分CuS,基本不含有CuO。随着时间的推移,土壤中CuSO_4百分含量呈现出下降的趋势,CuS百分含量呈现出上升的趋势。这与连续提取法研究结果中其可交换态的百分比下降,残渣态上升的趋势相似。     

不同林龄马尾松（Pinus massoniana）人工林碳氮磷分配格局及化学计量特征

为了解长江上游低山丘陵区马尾松（Pinus massoniana）人工林生态系统的C、N、P分配格局及化学计量特征,本文采用时空互代的方法,在宜宾高县来复林区选取三种不同林龄（5年生幼龄林、14年生中龄林、39年生成熟林）,但立地条件相近、样地情况基本一致的马尾松（Pinus massoniana）人工林作为研究对象,对马尾松针叶、凋落物及土壤中的C、N、P含量及 w（C）？w（N）？w（P）化学计量特征进行测定和分析。结果表明,（1）C、N、P 含量均表现为针叶〉凋落物〉土壤,且在三个库之间差异显著;（2）林龄对针叶、凋落物、土壤的 C、N、P 及 w（C）？w（N）、w（C）？w（P）计量比均有显著影响。（3）土壤 C、N、P含量在成熟林中最高;针叶和凋落物的C含量在成熟林中最低,N、P含量则在中龄林中最高。（4）随林龄增加马尾松对N、P的利用效率降低,针叶、凋落物及土壤的w（C）？w（N）与 w（C）？w（P）均表现为下降。（5）马尾松针叶w（N）？w（P）比值在14.37~15.53之间,说明该地区马尾松人工林受N和P的共同限制,但林龄对N、P养分限制的影响不显著。为提高该区马尾松人工林的生产力,建议在人工林的抚育管理中要适当增加N肥和P肥,同时也可在马尾松人工林引入豆科固氮植物以提高地力。该研究将马尾松针叶、凋落物及土壤结合起来探究随林龄增长C、N、P养分元素的分配格局及化学计量特征的变化,有助于全面、系统地揭示马尾松人工林生态系统的养分循环,对指导马尾松人工林生产,调节和改善林木生长环境,提高系统的养分利用效率及林地生产力具有重要意义。     

不同灌溉方式冬小麦农田生态系统碳平衡研究

全球气候变暖趋势明显,陆地生态系统碳循环的研究成为目前的研究热点,而农田生态系统是陆地生态系统的重要组成部分,由于农田生态系统是受人类强烈调节与控制的复合系统,其碳循环受各类农作措施的影响极大。新疆地处干旱区,水分条件是农田碳循环的最重要限制因子。为此,分析不同灌溉方式对冬小麦（Triticum aestivuml）农田生态系统碳平衡的影响,从而提出有利于新疆冬小麦生产的固碳减排的灌溉方式。试验于2012—2013年在伊宁县科技示范园冬小麦试验田进行,选择伊农18冬小麦品种为供试材料,确定滴灌和漫灌为两个试验主因子并设置小区。试验自冬小麦返青开始至完全成熟结束,期间平均每7天采1次样,其中用典型样株法采集小麦植株,分根、茎、叶等不同器官单独烘干测定植株固碳量;用静态钠石灰吸收法测定冬小麦土壤呼吸;收集整理已发表国内外文献中的各类碳排放参数确定本研究中所需参数;采用王小彬的碳平衡计算方法分析不同灌溉方式农田生态系统碳平衡,据此对滴灌和漫灌两种灌溉方式的冬麦农田作物生物量固碳、土壤碳排放量和作物生产过程中物质投入的间接碳排放量,以及两种灌溉方式下冬麦农田生态系统净碳值进行分析。试验结果表明：滴灌条件下冬麦农田生态系统小麦的固碳量、土壤碳排放总量分别比漫灌小麦的高出15.38%和11.43%,冬小麦穗是差异形成的主要原因;而农业生产资料排碳总量比漫灌少排3.88%;但无论是滴灌还是漫灌,耗电碳排放量均占农业生产资料碳排放总量的59%以上,是农业生产资料碳排放的第一大来源。两种灌溉方式下冬小麦田生态系统的净碳值均呈现出固碳并存在显著差异（p〈0.01）,且滴灌冬麦农田生态系统净碳值比漫灌高25.39%。因此,新疆冬小麦生产中采用滴灌方式更有利于农田生态系统的固碳,     

燃煤型砷中毒病区尿砷甲基化代谢和砷致皮肤损伤危险度的关系初探

砷中毒具有特异的皮肤损伤特征。为了研究燃煤型砷中毒病区高砷暴露、人体甲基化代谢能力与皮肤损伤患病风险之间的关系,在陕南典型燃煤型砷中毒村进行了皮肤损伤诊断和流行病学调查,采集尿样并分析总砷及形态砷含量,同时计算了用于表征人体砷甲基化代谢能力的指标包括尿中无机砷、一甲基砷和二甲基砷占总砷的百分含量(i As%、MMA%、DMA%),以及一甲基化率(PMI=MMA/i As)和二甲基化率(SMI=DMA/MMA)。Logistic回归分析结果表明:尿总砷含量(UTAs)是砷致皮肤损伤的危险因素(OR=1.038,95%CI:1.003~1.073),二甲基砷百分含量和SMI是皮肤损伤的保护因素(OR=0.883,95%CI:0.798~0.976;OR=0.724,95%CI:0.535~0.978);且砷致皮肤损伤的危险度随砷暴露水平的增高和甲基化能力的降低而增大。     

Responses of bacterial strains isolated from drinking water environments to N-acyl-L-homoserine lactones and their analogs during biofilm formation

Often as a result ofbiofilm formation, drinking water distribution systems （DWDS） are regularly faced with the problem of microbial contamination. Quorum sensing （QS） systems play a marked role in the regulation of microbial biofilm formation; thus, inhibition of QS systems may provide a promising approach to biofilm formation control in DWDS. In the present study, 22 bacterial strains were isolated from drinking water-related environments. The following properties of the strains were investigated： bacterial biofilm formation capacity, QS signal molecule N-acyl-L-homoserine lactones （AHLs） production ability, and responses to AHLs and AHL analogs, 3-chloro-4-（dichloromethyl）-5-hydroxy-2（5H）- furanone （MX） and 2（5H）-furanone. Four AHLs were added to developed biofilms at dosages ranging from 0.1 nmol.L J to 100nmol.L1. As a result, the biofilm growth of more than 1/4 of the isolates, which included AHL producers and non-producers, were significantly promoted. Further, the biofilm biomasses were closely associated with respective AHLs concentrations. These results provided evidence to support the idea that AHLs play a definitive role in biofilm formation in many of the studied bacteria. Meanwhile, two AHLs analogs demon- strated unexpectedly minimal negative effects on biofilm formation. This suggested that, in order to find an applicable QS inhibition approach for biofilm control in DWDS, the testing and analysis of more analogs is needed.     

电子垃圾拆解场多环境介质 多氯联苯(PCBs)污染特征及风险评估

多氯联苯(polychlorinated biphenyls,PCBs)是一组氯代烃类化合物,有较强的生物毒性效应。研究通过采集中国某典型电子垃圾拆解区手工拆解场和焚烧场不同环境介质(大气、土壤、饮用水、食物等)分析15种PCBs同系物的污染水平。利用主成分/因子分析方法分析不同拆解场PCBs的来源。根据世界卫生组织(WHO)推荐的毒性当量因子(TEFs)方法评价了两个拆解场环境介质中8种PCBs同系物的毒性。结果显示研究区大气、土壤、饮用水、农作物和农产品样品中PCBs同系物浓度均高于国际已有报道的同种介质中的PCBs污染水平,其中PCB-047和PCB-171污染最为严重。手工拆解场各介质PCBs同系物中PCB-047、PCB-171所占比例为2%~87%;焚烧场各介质PCBs同系物中PCB-047、PCB-171所占比例为2%~90%;来源分析表明除手工拆解场PCB-126和焚烧场PCB-114外,其余PCBs的来源具有相似性;毒性当量(TEQ)评价结果显示区内大气∑TEQ PCBs最高。环境介质中除红薯干外,∑TEQ PCBs均是焚烧场高于手工拆解场,且TEQ PCB-126和TEQ PCB-169的毒性当量最高。     

A red water occurrence in drinking water distribution systems caused by changes in water source in Beijing,China: mechanism analysis and control measures

A red water phenomenon occurred in several communities few days after the change of water source in Beijing, China in 2008. In this study, the origin of this problem, the mechanism of iron release and various control measures were investigated. The results indicated that a significant increase in sulphate concentration as a result of the new water source was the cause of the red water phenomenon. The mechanism of iron release was found that the high-concentration sulphate in the new water source disrupted the stable shell of scale on the inner pipe and led to the release of iron compounds. Experiments showed that the iron release rate in the new source water within pipe section was over 11-fold higher than that occurring within the local source water. The recovery of tap water quality lasted several months despite ameliora- tive measures being implemented, including adding phosphate, reducing the overall proportion of the new water source, elevating the pH and alkalinity, and utilizing free chlorine as a disinfectant instead of chloramine. Adding phosphate was more effective and more practical than the other measures. The iron release rate was decreased after the addition of 1.5 mg. L-1 orthophosphate- P, tripolyphosphate-P and hexametaphosphate-P by 68%, 83% and 87%, respectively. Elevating the pH and alkalinity also reduced the iron release rate by 50%. However, the iron release rate did not decreased after replacing chloramine by 0.5-0.8 mg. L-1 of free chlorine as disinfectant.     

Characteristics of PM<Subscript>2.5</Subscript>, CO<Subscript>2</Subscript> and particle-number concentration in mass transit railway carriages in Hong Kong

Fine particulate matter (PM_2.5) levels, carbon dioxide (CO₂) levels and particle-number concentrations (PNC) were monitored in train carriages on seven routes of the mass transit railway in Hong Kong between March and May 2014, using real-time monitoring instruments. The 8-h average PM_2.5 levels in carriages on the seven routes ranged from 24.1 to 49.8 µg/m³, higher than levels in Finland and similar to those in New York, and in most cases exceeding the standard set by the World Health Organisation (25 µg/m³). The CO₂ concentration ranged from 714 to 1801 ppm on four of the routes, generally exceeding indoor air quality guidelines (1000 ppm over 8 h) and reaching levels as high as those in Beijing. PNC ranged from 1506 to 11,570 particles/cm³, lower than readings in Sydney and higher than readings in Taipei. Correlation analysis indicated that the number of passengers in a given carriage did not affect the PM_2.5 concentration or PNC in the carriage. However, a significant positive correlation (p < 0.001, R ² = 0.834) was observed between passenger numbers and CO₂ levels, with each passenger contributing approximately 7.7–9.8 ppm of CO₂. The real-time measurements of PM_2.5 and PNC varied considerably, rising when carriage doors opened on arrival at a station and when passengers inside the carriage were more active. This suggests that air pollutants outside the train and passenger movements may contribute to PM_2.5 levels and PNC. Assessment of the risk associated with PM_2.5 exposure revealed that children are most severely affected by PM_2.5 pollution, followed in order by juveniles, adults and the elderly. In addition, females were found to be more vulnerable to PM_2.5 pollution than males (p < 0.001), and different subway lines were associated with different levels of risk.     

Characterization of hard- and softwood biochars pyrolyzed at high temperature

A wide range of waste biomass/waste wood feedstocks abundantly available at mine sites provide the opportunity to produce biochars for cost-effective improvement of mine tailings and contaminated land at metal mines. In the present study, soft- and hardwood biochars derived from pine and jarrah woods at high temperature (700 °C) were characterized for their physiochemical properties including chemical components, electrical conductivity, pH, zeta potential, cation-exchange capacity (CEC), alkalinity, BET surface area and surface morphology. Evaluating and comparing these characteristics with available data from the literature have affirmed the strong dictation of precursor type on the physiochemical properties of the biochars. The pine and jarrah wood feedstocks are mainly different in their proportions of cellulose, hemicellulose and lignin, resulting in biochars with heterogeneous physiochemical properties. The hardwood jarrah biochar exhibits much higher microporosity, alkalinity and electrostatic capacity than the softwood pine. Correlation analysis and principal component analysis also show a good correlation between CEC–BET–alkalinity, and alkalinity–ash content. These comprehensive characterization and analysis results on biochars’ properties from feedstocks of hardwood (from forest land clearance at mine construction) and waste pine wood (from mining operations) will provide a good guide for tailoring biochar functionalities for remediating metal mine tailings. The relatively inert high-temperature biochars can be stored for a long term at mine closure after decades of operations.     

Toxicity models of metal mixtures established on the basis of “additivity” and “interactions”

Observed effects of metal mixtures on animals and plants often differ from the estimates, which are commonly calculated by adding up the biological responses of individual metals. This difference from additivity is commonly referred to as being a consequence of specific interactions between metals. The science of how to quantify metal interactions and whether to include them in risk assessment models is in its infancy. This review summarizes the existing predictive tools for evaluating the combined toxicity of metals present in mixtures and indicates the advantages and disadvantages of each method. We intend to provide eco-toxicologists with background information on how to make good use of the tools and how to advance the methods for assessing toxicity of metal mixtures. It is concluded that statistically significant deviations from additivity are not necessarily biologically relevant. Incorporation of interactions between metals in a model does not on forehand mean that the model is more accurate than a model developed based on additivity only. It is recommended to first use a relatively simple method for effect prediction of uninvestigated metal mixtures. To improve the reliability of toxicity modeling for metal mixtures, further efforts should focus on balancing the relationship between the significance of statistics and the biological meaning, and unraveling the toxicity mechanisms of metals and their mixtures.

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