全氟化合物对水生植物的生态效应研究Ⅱ——金鱼藻对水中PFOS的生物富集及生理响应

为探究全氟化合物对水生植物的生态效应,选择金鱼藻(Ceratophyllum demersum L.)为受试生物,设定5、100、1 000、10 000、50 000、100 000μg·L-1以及对照共7个PFOS浓度梯度进行水培,分析包括超氧化物歧化酶(SOD)、过氧化氢酶(CAT)、过氧化物酶(POD)在内的抗氧化系统酶和细胞色素含量等生理响应特征,并研究金鱼藻对PFOS的生物有效性及富集能力。结果表明:金鱼藻对PFOS的富集量最高可达3 180 mg·kg-1dw,最大富集系数高达40.7倍,可作为PFOS污染水体植物修复的遴选物种。随PFOS浓度升高,SOD活力总体上没有明显变化,但POD活力表现为双重效用,即低浓度促进酶活力积累,而高浓度抑制酶活力积累。CAT活力在低浓度组(0、5、100、1 000μg·L-1),未表现出明显异常,在高浓度组(10 000、50 000、100 000μg·L-1),出现先升高后降低的趋势。色素含量也反应较为敏感,低浓度处理后色素含量升高,高浓度处理则导致色素含量先升高后降低,最高浓度处理下一直处于较低水平,可作为评价PFOS污染水体的生理敏感性指标。     

全氟化合物对水生植物的生态效应研究Ⅰ——典型城市河道全氟化合物的暴露水平及植物富集特征

全氟化合物(perfluorinated compounds,PFCs)近年来得到国内外广泛关注,针对工业源排放区域的环境暴露、来源解析以及动物层面的生态效应有较多研究,但对于普遍存在于非工业源(生活源)的城市河道PFCs暴露及水生植物富集等研究较为缺乏。本研究选择位于北京北部东西贯通的城市河道——清河水体为对象,分析结果表明,清河水体中12种目标PFCs均有检出(总量最高为65.45 ng·L-1),并以全氟丁烷磺酸盐(perfluorobutane sulfonate,PFBS)为主(最高达45.63 ng·L-1);6种水生植物(篦齿眼子菜、黑藻、金鱼藻、芦苇、菖蒲及水葱)的富集物质均以全氟辛烷磺酸盐(perfluorooctane sulfonate,PFOS)和全氟辛酸(perfluorooctanoic acid,PFOA)为主,沉水植物中金鱼藻对于PFOS的蓄积效果优于黑藻及篦齿眼子菜,挺水植物中根部PFCs含量高于茎叶,根部PFOA及PFOS含量高于茎叶,但全氟丁酸(perfluorobutanoic acid,PFBA)含量茎叶则高于根部。整体来看,尽管芦苇、菖蒲和水葱3种挺水植物尚不能作为PFCs的超富集植物,但其根部对PFCs均有显著的吸收效果,具有一定的生态修复潜质;沉水植物中金鱼藻是北方自然河道的优势物种,且对PFOS具有显著的富集效应,因此有必要进一步探索其PFCs生物指示和生态修复功能。     

Control concept and countermeasures for shallow lakes’ eutrophication in China

Research on lake eutrophication in China began in the early 1970s, and many lakes in China are now known to be in meso-eutrophic status. Lake eutrophication has been showing a rapidly increasing trend since 2000. Investigations show that the main reasons for lake eutrophication include a fragile lake background environment, excessive nutrient loading into lakes, excessive human activities, ecological degeneration, weak environmental protection awareness, and lax lake management. Major mechanisms resulting from lake eutrophication include nutrient recycling imbalance, major changes in water chemistry (pH, oxygen, and carbon), lake ecosystem imbalance, and algal prevalence in lakes. Some concepts for controlling eutrophication should be persistently proposed, including lake catchment control, combination of pollutant source control with ecological restoration, protection of three important aspects (terrestrial ecology, lake coast zone, and submerged plant), and combination of lake management with regulation. Measures to control lake eutrophication should include pollution source control (i.e., optimize industrial structural adjustments in the lake catchment, reduce nitrogen and phosphorus emission amounts, and control endogenous pollution) and lake ecological restoration (i.e. establish a zone-lake buffer region and lakeside zone, protect regional vegetation, utilize hydrophytes in renovation technology); countermeasures for lake management should include implementing water quality management, identifying environmental and lake water goals, legislating and formulating laws and regulations to protect lakes, strengthening publicity and the education of people, increasing public awareness through participation in systems and mechanic innovations, establishing lake region management institutions, and ensuring implementation of governance and management measures.     

毒理学领域的新思维：功能基因组学在毒理学中的应用

功能医学要求应用国际上最先进的检查技术定量检查反应器官功能的各种分子,从而评估器官功能。将功能医学应用到毒理学研究中,必将更早发现环境中有害因素对人体的早期损害,因此它能够将毒理学研究推向一个新高度。     

复合表面活性剂对污染土壤中柴油的增溶和洗脱作用

研究了3种表面活性剂及其不同浓度配比对五种柴油链烃的增溶及对柴油污染土壤的洗脱作用.结果表明,复合表面活性剂的增溶效果优于单一表面活性剂,其中尤以阴离子表面活性剂SDS与非离子表面活性剂Tw-80的配比效果最佳;随阴离子表面活性剂复合比例的提高,可以有效地降低复合表面活性剂混合胶束的临界胶束浓度,提高单位表面活性剂接纳目标污染物的能力,增大目标链烃分配进入胶束相的倾向,同时有效降低增溶平衡时对表面活性剂用量的要求;高浓度的阴离子表面活性剂具有很高的污染洗脱效率,非离子表面活性剂Tw-80则易被土壤吸附而导致洗脱效率低下,但阴离子表面活性剂SDS与Tw-80配比能够有效地改善Tw-80易被土壤吸附的现象,并随复合比例提高而不同程度的增强污染土壤中柴油的洗脱效果.     

酸性条件下红壤表面Pb反应动力学的能量特征

用自行设计的动力学装置研究了酸性条件下Pb在红壤表面的反应动力学能量特征.结果表明,酸性条件下,Pb吸附分为快反应和慢反应.用一级动力学方程拟合的Pb最大吸附量,随酸度增加显著下降,随温度升高提前达到平衡.用扩散速率常数计算的活化能(△E*)随酸度的增加而增加,Pb扩散需克服的能障加大;△H值为正,温度升高可促进Pb的扩散;AS值均为负,说明吸附反应使体系有序度增加.原液pH为4.5和5.6时,流出液的pH急剧下降;pH3.8和3.3时流入液比流出液的pH高,是由于土壤的缓冲作用和土壤表面质子化;当溶液中H+超过一定数量后,反应初期的H+消耗是快反应过程.H+对矿物的溶蚀成为速率控制步骤.     

活性炭纤维上4-氯酚及焦化废水尾水的O3催化氧化降解实验研究

选择YT-1000型活性炭纤维（ACF）作为催化剂,考察ACF与O₃协同作用催化降解水溶液中4-氯酚的最佳反应条件,并将该条件应用于焦化废水生物处理尾水中难降解有机污染物的催化氧化。ACF表面具有丰富的微孔结构,对4-氯酚有良好的吸附作用,在动力学上提高了其与O3反应的起始浓度,并且在ACF表面含氧、含氮等基团的催化作用下发生氧化反应,1 L浓度为100 mg/L的4-氯酚水样中投加2 g ACF反应6 min时,吸附作用对TOC的去除率为43.4%,而ACF协同O₃作用时的TOC去除率提高到72.5%,协同增效作用为67.1%;在选定的反应条件下,ACF协同O₃降解焦化废水生物处理尾水,60 min时的TOC与色度的去除率分别达到56.8%和96.3%。上述研究过程证明了吸附作用与催化作用的协同能有效降解生物过程不能降解的焦化废水中惰性有机污染物。     

温度和pH值对活性污泥法脱氮除磷的影响

温度和pH值是影响污水脱氮除磷效果的2个重要因素.试验采用连续搅拌槽式反应器(continuous stirred tank reactor,CSTR),通过对不同温度和pH值条件下的硝化、反硝化、释磷和吸磷反应速率的测定,总结出温度和pH值对活性污泥生化反应速率的影响规律.试验表明,硝化和反硝化速率随温度的升高而加快.在5℃和33℃时,硝化速率分别为0.01 kg NH4 -N/(kg VSS·d)和0.28 kg NH4 -N/(kg VSS·d);在5℃和30℃时,反硝化速率分别为0.097 kg NO3--N/(kg VSS·d)和0.476 kg NO3--N/(kg VSS·d);但温度对吸磷和释磷速率的影响不大.pH值对硝化、反硝化、吸磷和释磷速率均有显著影响,在pH值为7.74时,硝化速率为0.095 kg NO3--N/(kg VSS·d);而在pH值为4.9和10.08时,硝化速率仅为0.005 kg NO3--N/(kg VSS·d)和0.006 kg NO3--N/(kg VSS·d).在pH值为7.85时,反硝化速率达到最大值0.36 kg NO3--N/(kg VSS·d);而在偏酸性和碱性条件下,反硝化速率显著下降.     

Research progress on distribution,sources, identification,toxicity, and biodegradation of microplastics in the ocean,freshwater, and soil environment

• Microplastics are widely found in both aquatic and terrestrial environments. • Cleaning products and discarded plastic waste are primary sources of microplastics. • Microplastics have apparent toxic effects on the growth of fish and soil plants. • Multiple strains of biodegradable microplastics have been isolated. Microplastics (MPs) are distributed in the oceans, freshwater, and soil environment and have become major pollutants. MPs are generally referred to as plastic particles less than 5 mm in diameter. They consist of primary microplastics synthesized in microscopic size manufactured production and secondary microplastics generated by physical and environmental degradation. Plastic particles are long-lived pollutants that are highly resistant to environmental degradation. In this review, the distribution and possible sources of MPs in aquatic and terrestrial environments are described. Moreover, the adverse effects of MPs on natural creatures due to ingestion have been discussed. We also have summarized identification methods based on MPs particle size and chemical bond. To control the pollution of MPs, the biodegradation of MPs under the action of different microbes has also been reviewed in this work. This review will contribute to a better understanding of MPs pollution in the environment, as well as their identification, toxicity, and biodegradation in the ocean, freshwater, and soil, and the assessment and control of microplastics exposure.     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.