全氟化合物的生物富集效应研究进展

研究污染物的生物富集效应,对于预测污染物在生物体内的含量、建立环境标准以及评估污染物的生态风险具有重要的意义。结合近年来国内外报道的有关全氟化合物（PFCs）的生物浓缩因子（BCF）、生物富集因子（BAF）、生物放大因子（BMF）和营养级放大因子（TMF）等参数,对PFCs的生物富集效应及其影响因素进行了综述。研究结果表明,氟代碳原子数高于7的PFCs一般在生物体或食物链（网）上具有生物富集效应,而氟代碳原子数低于7的PFCs的生物富集效应较低。PFCs的理化性质（碳链长度、碳链末端基团类型和是否含有支链等）、生物的种类及其生理生化参数（体长、体重和性别等）和环境条件（生态系统的组成、水温和污染物含量等）等都影响PFCs在生物体内或食物链（网）上的富集。综观当前研究成果,PFCs在食物链（网）上生物放大效应研究主要集中于极地地区海洋食物网,应加强其他区域（特别是典型污染区域）、各种类型食物网（如淡水食物网和陆生食物网）上PFCs的生物富集效应及其影响因素研究,为全面评估PFCs的生态风险提供基础数据。     

重金属-纳米颗粒联合毒性评价模型研究进展

基于单一污染物的毒性研究无法准确评估真实环境中多污染物共存的生态与健康风险,因此大量研究开始关注混合物联合毒性这一更具挑战性和现实性的课题.本文围绕当前毒理学领域的主要研究对象——重金属、纳米材料,综述了重金属混合物、纳米颗粒混合物、以及两者混合物的联合作用评价方法,包括基于重金属间无相互作用或相互作用可忽略的浓度加和(concentrationaddition,CA)模型、独立作用(independent action,IA)模型及其改进模型,基于生物生理过程的生物配体模型(biotic ligand model,BLM)、毒代-毒效动力学模型(toxicokinetictoxicodynamic,TK-TD)、动态能量平衡(dynamic energy budget,DEB)理论,基于颗粒物结构性质的定量纳米结构-活性关系(quantitative nano structure-activity relationships,QNAR,或nano-QSAR)模型等,介绍了各类模型的基本原理、适用条件和应用情况.最后对重金属-纳米颗粒联合毒性的未来研究方向进行了展望.     

氰戊菊酯生理毒物代谢动力学模型的建立

利用生理毒物代谢动力学(PBTK)对小鼠静脉注射农药氰戊菊酯后,氰戊菊酯在体内分布转化代谢过程进行模拟,为评价农药暴露风险提供依据。小鼠静脉注射氰戊菊酯的PBTK模型构建分为5个房室:肝脏、肺、肾脏、充分灌注室和不充分灌注室,各房室内氰戊菊酯的浓度变化率由质量守恒微分方程表示。根据欧拉数值计算方法,对小鼠静脉注射氰戊菊酯后的毒物代谢动力学数据进行模拟。结果模拟预测了小鼠静脉注射0.5 mg·kg-1、2.5 mg·kg-1、10 mg·kg-1氰戊菊酯后血液、肝脏和肺中氰戊菊酯浓度变化曲线。为验证该模型的准确性,对小鼠静脉注射0.77 mg·kg-1氰戊菊酯后血液、肝脏和肺中氰戊菊酯的浓度值变化模拟值与前人的实验测量值进行比较,结果显示模拟值与实验值之间不存在显著性差异。因此利用该方法可以估测小鼠静脉注射氰戊菊酯的毒物代谢动力学数据,为评估农药暴露体内剂量数据提供了便利途径。     

毒理基因组学研究进展

毒理基因组学是利用最新的基因组学技术来进行毒理学研究的新兴学科。它能够快速全面地检测出化合物和生物体相互作用后的全基因组表达的变化,再通过生物信息学的方法对化合物的毒性进行定性分析。它可以为传统毒理学检测筛选更多的生物学标志物,解释有毒物质的致毒机理,降低风险评价的不确定性。但是,毒理基因组学还存在许多问题：如实验设计不统一,分析理论不完善,检测费用太昂贵等。其中最主要的理论问题在于,虽然人们早已认识到毒理基因组学最大的优势是可对毒性进行较全面的分类和预测,但是已有的研究仍然集中在生物标志物的筛选和致毒机理的解释上,而没有充分利用全基因组变化的信息,因为理论上除了实验误差引入的基因表达变化以外的变化都是化合物和生物体相互作用的结果。要解决这些问题,新发现的microRNA毒理基因组和动态基因表达图谱的研究可能是一个潜在方向。总体来说,目前毒理基因组学只能作为风险评价的参考,但是它最终将为风险评价提供有力的理论依据和准确预测,提高风险评价的可靠性。     

溴系阻燃剂毒理效应的计算模拟预测与环境风险评估进展

溴系阻燃剂(brominated flame retardants,BFRs)作为生产和使用量巨大的有机阻燃剂,在环境介质和生物体内被广泛检出。BFRs及其代谢产物会对生物体造成神经毒性、遗传毒性、发育毒性及内分泌干扰效应等,环境和健康风险得到日益广泛的关注。国内外学者通过最小二乘法(LS)和类似马尔可夫链蒙特卡罗算法(AMCMC)等统计分析方法建立了BFRs在环境中转化和归趋的预测模型,采用分子对接、分子动力学模拟和定量结构-活性关系(QSAR)模型等方法分析了BFRs及其代谢产物毒性作用的微观机制。综合近年来国内外的相关研究,发现BFRs的结构(取代基的类型和数量)会影响其环境行为和毒理效应,在总结研究成果的基础上,对BFRs的生态和健康风险进行评估,为其未来的研究和发展方向提供参考。     

全氟化合物污染现状及与有机污染物联合毒性研究进展

全氟化合物(perfluorocarbons,PFASs)作为一种新型污染物已引起广泛关注.PFASs在环境中具有持久性和生物毒性,并可以通过食物链传递,在生物体内富集并产生生物学放大效应.近年来已成为全球性污染物,并已在各类环境介质、生物体及人体内被检出.因此本文主要综述了当前国内外PFASs在不同环境介质中的污染现状,比较分析了 PFASs及与其他有机污染物对生物的单一、联合毒性并对PFASs污染治理和防控提出了展望,为今后PFASs的研究及毒理学评价提供参考依据.     

类二噁英物质及芳香烃受体(AhR)介导的有害结局路径(AOP)研究进展

二噁英及类二噁英物质(dioxin-like compounds,DLCs)是一类高毒性化合物的统称,对其毒理学的研究一直都是备受关注的焦点。已有证据表明,高毒二噁英及DLCs主要通过激活芳香烃受体(aryl hydrocarbon receptor,AhR),进而导致一系列生物毒性。近年来越来越多的新型有机污染物被发现具有类二噁英分子结构并存在潜在生物毒性或活性。与此同时,如何评估二噁英及DLCs对本土生态生物的危害及其风险也受到更多关注。本文综述了近几年发现的新型二噁英物质、二噁英及DLCs的AhR致毒机制、相应的有害结局路径(adverse outcome pathway,AOP)及AOP在指导探索新型物质及物种敏感性方面上的新观点和发现,同时也展望了二噁英及DLCs在生态毒理及风险评估领域的未来研究方向。     

基于斑马鱼毒理基因组学的化学品测试技术研究进展

大量缺乏毒性信息的化学品最终进入环境水体,对人类及生态生物产生潜在的危害与风险。提高化学品生物毒性测试与评估技术的通量和效率,是实现毒害化学物质环境与生态健康风险防控的关键。作为一种可以实现高通量测试的脊椎动物模型,斑马鱼胚胎测试在化学品的毒性评估中应用广泛。随着组学技术的发展,毒理基因组学可有效提取毒害化学品致毒过程中干扰生物学通路的信息。这些机制信息可用于对单物质或复合污染物生物毒性的筛选和预测。本文综述了不同斑马鱼胚胎测试技术在化学品毒性筛选评估管理与水环境复合污染毒性监测中的发展和应用,详细介绍了一种新型斑马鱼胚胎简化转录组学技术的方法流程和优势,并探讨了综合斑马鱼胚胎毒性测试、行为分析和组学等不同测试技术在化学品毒性测试、环境监测与评价中的应用前景。     

不同暴露途径下有机污染物对大鼠急性毒性的相关性研究

不同暴露途径下有机物在生物体内的吸收分布不同,导致毒性效应亦不同,研究化学品在不同暴露途径下对生物体的毒性,对化学品的安全性评价有实际意义。本文通过研究静脉注射、腹腔注射、肌肉注射与经口灌胃4种暴露途径下527个有机物对大鼠的急性毒性数据相关性,比较了不同暴露途径下大鼠对有机污染物的敏感度顺序,结果为:静脉注射>腹腔注射>肌肉注射>经口灌胃途径,静脉注射途径下log1/LD50与其他几种注射途径下的log1/LD50有较显著的相关性,但是与灌胃途径下毒性值之间的相关性较差,相关系数r的范围为0.82~0.97。通过逐项分析研究不同暴露途径下化合物对大鼠的急性毒性与生物利用度、吸收速率、消除速率以及代谢过程的关系,结果表明,导致这种差异的原因主要是有机污染物在大鼠体内的吸附动力学过程不同所致。     

生态毒理基因组学——后基因组时代生态毒理学的新领域

基因组学、蛋白组学和代谢组学技术为生态毒理学的发展提供了生物高通量的技术手段,构成了新的交叉学科——生态毒理基因组学.生态毒理基因组学着重研究环境毒物暴露下非靶生物基因和蛋白的表达,能够在基因组水平上更深入地理解环境污染物的致毒机制,同时,它引进生物标志物为生态风险评价提供了平台.论文对生态毒理基因组学的发展历程、技术支持、模式生物及其在生态风险评价方面的应用进行了综述,以推动生态毒理基因组学技术在我国的进一步发展.     

AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems

AQUATOX combines aquatic ecosystem, chemical fate, and ecotoxicological constructs to obtain a truly integrative fate and effects model. It is a general, mechanistic ecological risk assessment model intended to be used to evaluate past, present, and future direct and indirect effects from various stressors including nutrients, organic wastes, sediments, toxic organic chemicals, flow, and temperature in aquatic ecosystems. The model has a very flexible structure and provides multiple analytical tools useful for evaluating ecological effects, including uncertainty analysis, nominal range sensitivity analysis, comparison of perturbed and control simulations, and graphing and tabulation of predicted concentrations, rates, and photosynthetic limitations. It can represent a full aquatic food web, including multiple genera and guilds of periphyton, phytoplankton, submersed aquatic vegetation, invertebrates, and fish and associated organic toxicants. It can model up to 20 organic chemicals simultaneously. (It does not model metals.) Modeled processes for organic toxicants include chemodynamics of neutral and ionized organic chemicals, bioaccumulation as a function of sorption and bioenergetics, biotransformation to daughter products, and sublethal and lethal toxicity. It has an extensive library of default biotic, chemical, and toxicological parameters and incorporates the ICE regression equations for estimating toxicity in numerous organisms. The model has been implemented for streams, small rivers, ponds, lakes, reservoirs, and estuaries. It is an integral part of the BASINS system with linkage to the watershed models HSPF and SWAT.     

Quantitative structure‐activity relationships of hydrophobic organic chemicals 1

Quantitative structure‐activity relationships of hydrophobic organic chemicals were studied based on equations we established. Results showed that observed toxicity of hydrophobic organic chemicals were correlated to two physical‐chemical parameters: reaction equilibrium constant of target molecule‐organic chemical; octanol/water partition coefficient. Regression results showed that the molecular connectivity index of first‐order was an ideal parameter instead of the equilibrium constant. Good relationships between toxicity data and the two parameters were found for three aquatic organisms with a wide range of chemicals.     

Two-dimensional numerical and eco-toxicological modeling of chemical spills

The effects of chemical spills on aquatic nontarget organisms were evaluated in this study. Based on a review of three types of current eco-toxicological models of chemicals, i.e., ACQUATOX model of the US-EPA, Hudson River Model of PCBs, and critical body residual (CBR) model and dynamic energy budget (DEBtox) model, this paper presents an uncoupled numerical ecotoxicological model. The transport and transformation of spilled chemicals were simulated by a chemical transport model (including flow and sediment transport), and the mortalities of an organism caused by the chemicals were simulated by the extended threshold damage model, separately. Due to extreme scarcity of data, this model was applied to two hypothetical cases of chemical spills happening upstream of a lake. Theoretical analysis and simulated results indicated that this model is capable of reasonably predicting the acute effects of chemical spills on aquatic ecosystems or organism killings.     

Utility of the QSAR modeling system for predicting the toxicity of substances on the European inventory of existing commercial chemicals∗

Many chemicals are in common commercial use for which no information on the environmental fate or toxicity exists. Recent legislation requires that many substances be assessed for their toxicity to aquatic organisms within a very short time and determine which of these chemicals need to be studied in greater detail. It would be impossible to measure the acute and chronic effects of all of these compounds on a single organism, let alone a battery of different types of organisms, communities or ecosystems. Initially, the chemicals on the European Inventory of Existing Commercial Chemical Substances (EINECS) need to be screened and relative hazard to the environment determined. In response to OECD directives, there has been a great deal of activity by government and industry scientists. At the International Workshop on Advances in Environmental Hazard and Risk Assessment it was concluded that quantitative structure activity relationships (QSAR) could and should be used in the hazard assessment process. Papers published in that volume outline the advantages, disadvantages, limitations, advances and research requirements.

The QSAR, structure‐activity based chemical modeling and information system, which was developed by the US‐Environmental Protection Agency was used to predict the acute toxicity of 113 substances from the “Old Substances”; list of the German government to the four commonly used aquatic toxicity test organisms: Daphnia magna (DM), fathead minnow (FHM), rainbow trout (RBT), and blue‐gill sunfish (BG).

Of these compounds the QSAR system predicted the acute toxicity of 87 substances towards fathead minnow. For the other three species examined the QSAR system could be used to predict toxicity for 78 compounds.

The predicted toxicities were compared to observed toxicities of compounds which have been evaluated and stored in the “Aquire”; data base. Observed toxicity values were available for at least one species for 38 compounds. The toxicities of some compounds are well predicted while those of other compounds were not well predicted. Overall, the QSAR system accurately classified the acute toxicity ranges of 50%, 64%, 56% and 56% of the compounds investigated for DM, FHM, RBT and BG, respectively. Of the compounds studied 10 were very poorly predicted, of these the QSAR system overpredicted the toxicity of three, while underpredicting the toxicity of seven. Of these seven compounds, five contained amino groups.     

化学品生态毒性测试鱼类模式生物的应用与展望

水生生物毒性测试广泛应用于评估化学品的水生态环境安全,而鱼类生态毒性数据为水生生态风险评估与风险管理提供基础。本文总结了现有的鱼类水生毒性测试标准及常用的物种。阐述了常用水生鱼类模式生物,如斑马鱼Danio rerio、青鳉鱼Oryzias latipes、黑头软口鲦Pimephales promelas等作为模式鱼类的特征及在生态毒性测试中的应用。环保部7号令推荐稀有鮈鲫Gobiocypris rarus作为中国本土生物在水生毒性测试中使用。目前公开发表的利用稀有鮈鲫的水生毒性研究多集中在急性毒性方面,对其他类型的研究如法规毒理相关的长期慢性毒性有待开展。     

Water Quality Criteria for European Freshwater Fish

1. For water pollution control purposes, the concentration-addition model for describing the joint effects of mixtures of toxicants on aquatic organisms is appropriate; in this model the contribution of each component in the mixture is expressed as a proportion of the aqueous concentration producing a given response in a given time (e.g. p 96-h LC50).

2. Examination of available data using this model shows that for mixtures of toxicants found in sewage and industrial effluents, the joint acutely-lethal toxicity to fish and other aquatic organisms is close to that predicted, assuming simple addition of the proportional contribution from each toxicant. The observed median value for the joint effect of these toxicants on fish is 0.95 of that predicted, and the corresponding collective value for sewage effluents, river waters, and a few industrial wastes, based on the toxicity of their constituents, is 0.85, while that for pesticides is 1.3.

3. The less-than-predicted effect of commonly-occurring toxicants in some mixtures may be partly attributable to small fractions of their respective LC50 values having a less-than-additional effect. However, recent research has shown that for some organic chemicals which have a common quantitative structure-activity relationship (QSAR), their joint action as determined by acute toxicity is additive at all concentrations.

4. The few (unpublished) data available for the long-term lethal joint effect on fish of toxicants in mixtures suggest that they may be markedly more than additive, a phenomenon that needs confirmation and further investigation.

5. In the few studies on the sub-lethal effects on fish (eg growth), the joint effect of toxicants has been consistently less-than-additive which suggests that as concentrations of toxicants are reduced towards the levels of no effect, their potential for addition is also reduced. There appear to be no marked and consistent differences between the response of different species to mixtures of toxicants.

6. Field studies have shown that reasonably accurate toxicity predictions based on chemical analysis can be made if the waters which are polluted are acutely lethal to fish, and that a fish population of some kind can exist where the median 2 p t LCSOs (rainbow trout) is < 0.2. It is not known whether this condition is equivalent to a C p NOEC of 4.0 (ie the sum of the individual fractions of the NOEC for the species present), or to a NOEC of < 1.0 for each individual toxicant (i.e. fractions of the NOEC are not summed).

7. In general, the joint effect of the common toxicants on lethal and sub-lethal responses of fish is not explained by variations in the uptake of the individual toxicants concerned; this may not apply for those chemicals with a common QSAR, although there is little experimental evidence in this field.

8. There is an immediate need for more empirical studies on the joint effect of mixtures of toxic units of individual components, and the relation between long- and short-term lethal and non-lethal joint effects. This applies to mixtures of commonly occurring toxicants as well as to mixtures of organic chemicals with a common QSAR. The data obtained should be reinforced by studies on the mechanisms of interaction of toxicants. More field studies which relate water quality to the structure and productivity of fish populations are also required, involving direct measurements of fractional toxicity of the river water wherever possible.

9. The concentration-addition model appears to be adequate to describe the joint effect of commonly-occurring constituents of sewage and industrial wastes, and for tentative predictions of the joint effect on fish populations of toxicants present at concentrations higher than the EIFAC recommended values. However, concentrations lower than the EIFAC recommended values may make an increasingly lesser contribution to the toxicity of mixtures of toxicants and there may be a need to adjust the tentative water quality criteria downwards where two or more toxicants are present at concentrations close to these values. For toxicants with a common QSAR, their additive joint action may necessitate the setting of water quality criteriafor this group as a whole and not on the basis of individual compounds. However, too little is known of their precise joint action where the combined concentration produces a sub-lethal response.     

有机污染物对发光菌和鱼的毒性相关性研究

研究有机污染物对不同水生生物毒性的种间关系有助于探讨有机污染物对水生生物的毒性作用模式。本文应用1 470种有机化合物对发光菌的毒性数据和949种有机化合物对鱼的毒性数据,研究有机化合物对发光菌和鱼的种间毒性作用模式。结果表明,有机化合物对发光菌和鱼的毒性呈正相关,但种间相关性较差。通过计算毒性比率TR值表明多数类别有机化合物具有相似的种间毒性作用模式。基线和弱惰性化合物对发光菌和鱼的毒性均与辛醇水分配系数log Kow具有良好的线性关系,这说明基线和弱惰性化合物在发光菌和鱼体内的残余量CBR值均为一个常数。这些化合物对发光菌和鱼具有相似的毒性作用模式和生物吸收过程。另外,一些亲水性化合物的log TR值具有较大的种间差异,即对发光菌和鱼的毒性效应具有较大的种间差异,表明亲水性化合物对发光菌为反应型化合物,而对鱼为麻醉型化合物。有机化合物对发光菌和鱼的毒性种间相关性通过引入疏水性参数得到了一定的改善,这表明这些亲水性化合物毒性效应的种间差异有一部分归因于有机化合物在发光菌和鱼体内的生物富集不同,而不是由于与生物分子的反应性不同。这些亲水性化合物相对于鱼的腮和皮肤更容易通过发光菌的细胞膜,与生物分子发生化学反应,从而具有较高的毒性效应。Log Kow大于7的化合物对发光菌和鱼均具有较低的毒性,说明有机化合物在生物体内的富集能力对有机化合物剩余毒性的判别起着重要作用。     

几种典型有害化学品对水生生物的急性毒性

采用水体中3个营养级别的水生生物（绿藻、水Sou和鱼）测试卤代酚类、硝基苯类、烷基苯类典型有毒有害化学品对水生生物的急性毒性，同时对上述物质对水生生物的安全性进行初步评估，并预测了上述物质对水生生物的环境安全浓度，研究结果表明，在3类12种有机污染物中，卤代酚类物质对水生生物的毒性最强，其中五氯苯酚对水生生物具有极高毒性。在3个营养级别的受试生物中，剑尾鱼对上述毒物具有较好的敏感性，结果稳定，重现性好，说明剑尾鱼是一种优良的水生毒性试验材料，图1表3参11。     

有机毒物对水蚤的急性毒性

对水蚤的毒笥试验数据是被广泛用于评价化合物水生生态效应的重要依据，检测有机化合物的毒性时，需特别注意待测物的难溶性，挥发性及易光解性，检测了多种氯代芳烃的ＥＣ５０值，其１８ｈ的结果与２４ｈ的结果相近，检测了２４种硝基芳烃的毒性，不同方法计算的ＥＣ５０值一致。