化学恐怖袭击事件的危害、征兆及紧急应对措施研究

在介绍化学恐怖活动的特点、化学毒剂的种类和对人体的危害的基础上,从怎样察觉判断化学毒剂的存在、发生化学恐怖袭击事件后的紧急应对措施、在不同公共场合发生恐怖袭击事件后的自救逃生等几个方面进行了研讨,提出利用化学恐怖袭击的征兆通过感官法、生物法与化学侦检法判断是否发生化学恐怖袭击,分析总结化学恐怖袭击发生时的紧急应对程序,以及遇袭人员出现染毒病症后的"一戴二隔三救出"及"六早"现场医学应急救援措施,并给出地铁、机场、学校、商场、高层建筑、体育馆、大型会展场馆等公共场所发生化学恐怖袭击事件时的自救逃生指引。     

生化恐怖威胁谱系研究进展

评述国内外生化恐怖威胁谱系研究现状;从基于综合因素、基于使用可能、基于杀伤破坏能力和基于袭击主体等方面对生化恐怖威胁源的分类体系和威胁清单进行归纳与梳理;建立了以易得性、毒害性、可用性和防护性为主要评价指标的生化恐怖威胁源评估体系;对进一步开展生化恐怖威胁谱系研究提出了若干建议和思考。研究表明:生化恐怖威胁谱系是一个动态的复杂概念集合,科学地确定评价指标、深入开展生化恐怖威胁谱系研究对于鉴别生化恐怖威胁源及建设反生化恐怖技术能力意义重大。     

化学品泄漏事故现场应变程序

针对化学品泄漏事故的现场应对处置,对目前比较通用的CSTI应变程序和HAZMAT应变程序进行了详细论述,结合我国化学品应急管理的现状,提出我国化学品泄漏事故现场应变程序,应变程序包括泄漏物辨识、划分管制区域、人员疏散、成立现场指挥部、后果分析和现场监测、制定现场行动方案并组织实施、善后处理和文档记录。     

我国突发环境事件应急法制法律原则的探析

法律原则对法律制度的建立、发展和完善起着尤为重要的指导作用。我国突发环境事件应急法制还处于起步阶段,相关法律研究也存在欠缺和不深入的问题。本文在比较几种相关概念的法律原则的基础上,总结环境应急法制法律原则的特征,试提出我国环境应急法制所要遵循的几条法律原则。     

氯离子对COD测定的影响及消除方法

为保证测定污水中COD数据的准确性,分析了不同浓度氯离子对污水中COD测定的影响,并对不同浓度氯离子的消除方法进行了实验和探讨。实验结果表明:当氯离子的质量浓度小于2000mg/L时,用国标法简单准确,当氯离子的质量浓度大于2000mg/L小于20000mg/L时,用氯气校正法更为合适。     

大气中二甲硫等氧化的化学耦合作用

从遥远海洋到重污染地区在很宽的大气条件下,用灵敏度分析法研究了二甲硫（DMS）和SO2的氧化机理及其化学耦合作用,DMS最重要的氧化机理是OH自由基的摘氢反应,对SO2是SO2与OH自由基的反应。在DMS和SO2的氧化过程中,碳、氮、氧化合物的化学耦合作用起着根本性的作用,重要的化学耦合反应是OH自由基的生成反应、消耗反应和NOx等的光化学引发反应等。     

排水对三江平原沼泽湿地土壤中化学元素的影响

以三江平原沼泽湿地生态试验站为研究基地 ,选择典型采样点 ,对排水沟土壤、沼泽土壤、沼泽化草甸土壤 (共有 6个采样点 ,2 8个样品 )进行测试 ,分析土样中主要离子 (HCO3- 、Cl- 、NO3- 、SO4 2 - 、Ca2 +、Mg2 +、K+、Na+)含量、重金属 (铁、锰、锌、铜 )含量、营养元素含量、有机质含量以及土壤pH值 ,研究沼泽排水对沼泽土壤中的化学元素含量的影响。研究结果表明 ,排水使沼泽土壤丧失大量的化学元素     

Quantification of potassium permanganate consumption and PCE oxidation in subsurface materials

A series of laboratory scale batch slurry experiments were conducted in order to establish a data set for oxidant demand by sandy and clayey subsurface materials as well as to identify the reaction kinetic rates of permanganate (MnO(4)(-)) consumption and PCE oxidation as a function of the MnO(4)(-) concentration. The laboratory experiments were carried out with 31 sandy and clayey subsurface sediments from 12 Danish sites. The results show that the consumption of MnO(4)(-) by reaction with the sediment, termed the natural oxidant demand (NOD), is the primary reaction with regards to quantification of MnO(4)(-) consumption. Dissolved PCE in concentrations up to 100 mg/l in the sediments investigated is not a significant factor in the total MnO(4)(-) consumption. Consumption of MnO(4)(-) increases with an increasing initial MnO(4)(-) concentration. The sediment type is also important as NOD is (generally) higher in clayey than in sandy sediments for a given MnO(4)(-) concentration. For the different sediment types the typical NOD values are 0.5-2 g MnO(4)(-)/kg dry weight (dw) for glacial meltwater sand, 1-8 g MnO(4)(-)/kg dw for sandy till and 5-20 g MnO(4)(-)/kg dw for clayey till. The long term consumption of MnO(4)(-) and oxidation of PCE can not be described with a single rate constant, as the total MnO(4)(-) reduction is comprised of several different reactions with individual rates. During the initial hours of reaction, first order kinetics can be applied, where the short term first order rate constants for consumption of MnO(4)(-) and oxidation of PCE are 0.05-0.5 h(-1) and 0.5-4.5 h(-1), respectively. The sediment does not act as an instantaneous sink for MnO(4)(-). The consumption of MnO(4)(-) by reaction with the reactive species in the sediment is the result of several parallel reactions, during which the reaction between the contaminant and MnO(4)(-) also takes place. Hence, application of low MnO(4)(-) concentrations can cause partly oxidation of PCE, as the oxidant demand of the sediment does not need to be met fully before PCE is oxidised.     

Metals in biomass

Background, Aim and Scope

Metal ions generally share the ability/tendency of interacting with biological material by forming complexes, except possibly for the heavy alkali metals K, Rb and Cs. This is unrelated to the metals being either essential for sustaining life and its reproduction, apparently insignificant for biology, although perhaps undergoing bioconcentration or even being outright toxic, even at low admission levels. Yet, those different kinds of metal-biomass interactions should in some way depend on properties describing coordination chemistries of these very metals. Nevertheless, both ubiquitously essential metals and others sometimes used in biology should share these properties in numeric terms, since it can be anticipated that they will be distinguished from nonessential and/or toxic ones. These features noted above include bioconcentration, the involvement of metal ions such as Zn, Mg, Cu, Fe, etc. in biocatalysis as crucial components of metalloenzymes and the introduction of a certain set of essential metals common to (almost) all living beings (K, Mg, Mo, Mn, Fe, Cu and Zn), which occurred probably very early in biological evolution by ‘natural selection of the chemical elements’ (more exactly speaking, of the metallomes).

Materials and Methods

The approach is semiempirical and consists of three consecutive steps: 1) derivation of a regression equation which links complex stability data of different complexes containing the same metal ion to electrochemical data pertinent to the (replaced) ligands, thus describing properties of metal ions in complexes, 2) a graphical representation of the properties-two typical numbers c and x for each metal ion-in some map across the c/x-space, which additionally contains information about biological functions of these metal ions, i.e. whether they are essential in general (e.g. Mg, Mn, Zn) or, for a few organisms of various kinds (e.g. Cd, V), not essential (e.g. rare earth element ions) or even generally highly toxic (Hg, U). It is hypothesized that, if coordination properties of metals control their biological ‘feasibility’ in some way, this should show up in the mappings (one each for mono and bidentate-bonding ligands). 3) eventually, the regression equation produced in step 1) is inverted to calculate complex stabilities pertinent to biological systems: 3a) complex stabilities are mapped for ligands delivered to soil (-water) by green plants (e.g. citrate, malate) and fungi and, compared to their unlike selectivities and demands of metal use (photosynthesis taking place or not), 3b) the evolution of the metallome during late chemical evolution is reconstructed.

Results

These maps show some ‘window of essentiality’, a small, contrived range/area of c and x parameters in which essential metal ions gather almost exclusively. c and x thus control the possibility of a metal ion becoming essential by their influencing details of metal-substrate or (in cases of catalytic activities) metal-product interactions. Exceptions are not known to be involved in biocatalysis anyhow.

Discussion

Effects of ligands secreted, e.g. from tree roots or agaric mycelia to the soil on the respective modes (selectivities) of metal bioconcentration can be calculated by the equation giving complex stability constants, with obvious ramifications for a thorough, systematic interpretation of biomonitoring data. Eventually, alterations of C, N and P-compounds during chemical evolution are investigated — which converted CH₄ or CO₂, N₂ and other non-ligands to amino acids, etc., for example, with the latter behaving as efficient chelating ligands: Did they cause metal ions to accumulate in what was going to become biological matter and was there a selectivity, a positive bias in favour of nowessential metals (see above) in this process? Though there was no complete selectivity of this kind, neither a RNA world in which early ribozymes effected most of biocatalysis, nor a paleoatmosphere containing substantial amounts of CO could have paved the way to the present biochemistry and metallomes.

Conclusions

This way of reasoning provides a causal account for abundance distributions described earlier in the Biological System of Elements (BSE; Markert 1994, Fränzle &; Markert 2000, 2002). There is a pronounced change from chemical evolution, where but few transformations depended on metal ion catalysis to biology.

Recommendations and Perspectives

The application of this numerical approach can be used for modified, weighted evaluation of biomonitoring analytical data, likewise for the prediction of bioconcentration hazards due to a manifold of metal ions, including organometallic ones. This is relevant in ecotoxicology and biomonitoring. In combining apoproteins or peptides synthesized from scratch for purposes of catalysing certain transformations, the map and numerical approaches might prove useful for the selection of central ions which are even more efficient than the ‘natural’ ones, like for Co²⁺ in many Zn enzymes.

     

Facing Hazardous Matter in Atmospheric Particles with NanoSIMS (2 pp)

Background, Aim and Scope Current scientific studies and evaluations clearly show that an increase of urban dust loads, alone or combined with other pollutants und certain meteorological conditions lead to different significant health effects. Premature death, increased hospital admissions and increased respiratory symptoms and diseases as well as decreased lung function can be observed in combination with high pollutant levels. Sensitive groups like elderly people or children and persons with cardiopulmonary diseases such as asthma are more strongly affected. Because of the direct contact between fine particles and lung tissue more information concerning the surface structure (mapping of toxic elements) is required. Materials and Methods: The NanoSims50 ion microprobe images the element composition at the surface of sub-micrometer air dust particles and documents hot spots of toxic elements as a possible threat for human health. Results: The atmospheric fine dust consists of a complex mixture of organic and inorganic compounds. Heavy metals are fixed on airborn particles in the form of hot spots in a nanometer scale. From a sanitary point of view, the hot spots consisting of toxic elements are particularly relevant as they react directly with the lung tissues. Discussion: To what extent particles can penetrate the various areas of the lungs and be deposited there depends on the one hand on their physical characteristics and on the other on breathing patterns and the anatomy of the lung, which is subject to change as the result of growth, ageing or illness. Once inhaled, some particles can reach the pulmonary alveoli and thus directly expose the lung tissues to toxic elements. Conclusions: Especially the mapping of toxic arsenic or heavy metals like copper on the dust particles shows local hot spots of pollution in the dimension of only 50 nanometers. Recommendations and Perspectives: Imaging of elements in atmospheric particles with NanoSIMS will help to identify the material sources.