微囊藻毒素-LR对雄性黑斑蛙精巢中CYP46A1,CYP2H2和CYP2G1 mRNA表达的影响

微囊藻毒素-LR(microcystin-LR,MC-LR)是分布最广泛和毒性最强的一种微囊藻毒素,对水生动物造成潜在的健康威胁。大量科学研究证实,动物体中的细胞色素P450酶(CYP)参与内源性物质及外源毒性物质的代谢过程。为探究两栖动物生殖器官中的CYP酶对低剂量MC-LR生殖毒效应的调节作用,选择雄性黑斑蛙(Rana nigromaculata)为受试动物,采用静态置换法和体内暴露方法,分别暴露于0、0.1、1和10μg·L~(-1)MC-LR溶液0、7和14 d;用实时荧光定量PCR方法检测精巢中CYP46A1、CYP2H2和CYP2G1的mRNA表达水平。结果表明,暴露于0.1、1和10μg·L~(-1)MC-LR 14 d后,CYP46A1在mRNA水平分别上调了1.86、1.65和1.22倍,CYP2H2在mRNA水平分别上调了4.62、1.80和1.04倍,CYP2G1的mRNA水平分别上调了2.63、2.16和1.56倍。MC-LR在1μg·L~(-1)剂量下暴露7 d后,CYP46A1、CYP2H2和CYP2G1 mRNA水平均出现显著上调。上述研究表明,微囊藻毒素对黑斑蛙精巢3种CYP基因在mRNA水平上都存在低剂量刺激效应。低剂量MC-LR能诱导黑斑蛙精巢中CYP46A1转录水平变化,促进胆固醇转化为24S-羟化胆固醇,潜在破坏雄性黑斑蛙精巢中胆固醇水平的平衡; MC-LR也能够诱导精巢中CYP2H2和CYP2G1转录水平的变化,潜在调节CYP2H2和CYP2G1转录水平,进而影响MC-LR的代谢作用。     

Sulfate pollution: evidence for electrochemical production of persulfate by oxidizing sulfate released by the surfactant sodium dodecyl sulfate

Environmental Chemistry Letters - There is increasing concern about contamination by surfactants that are used to extract organic pollutants during remediation of polluted soils and aquifers. For...     

Efficient microwave degradation of humic acids in water using persulfate and activated carbon

Environmental Chemistry Letters - Humic acids are complex mixtures of organic molecules of different sizes, molecular weights and functional groups such as phenols, carboxyls, quinones and amino...     

大气中黑碳的健康效应及机制研究进展

虽然人类社会不断进步发展,但大量工业和自然排放也导致了严重的空气污染。大气颗粒物是大气污染物的主要成分之一,黑碳是其中的重要组成成分,被国际癌症研究机构(IARC)归类为2B类致癌物。黑碳可以吸附其他致癌物质,会对环境和人体健康产生不利影响,因此黑碳暴露对人类的危害得到越来越多的重视。空气中黑碳的水平与心血管、呼吸和神经系统疾病的发生都有关系;黑碳主要通过引起氧化应激和炎症反应,诱发基因突变等一系列损伤。虽然现今对于黑碳健康效应的研究已取得了一些进展,但研究多数处于起步阶段,且仅针对黑碳本身进行单独研究,未来还需要加强开展对黑碳和其他污染物联合毒性效应及机制的研究。本综述主要针对近年来已开展的研究进行了总结归纳。     

黄铁矿焙烧过程中铊析出影响因素及其烧渣中重金属的相态分布研究

通过模拟硫酸厂的沸腾焙烧炉,考察了黄铁矿焙烧过程中铊(T1)析出的影响因素.并通过分级提取法考察了黄铁矿烧渣中重金属的相态分布.结果表明,T1释放率随焙烧温度的升高而增加,随停留时间的增长而增加;当O2流量在20～300 mL/mi.范围变化时,T1释放率先增后减.环境中备受关注的重金属(如Pb、Cd、Cr等)在黄铁矿烧渣中以Pb为主,各相态Pb的总量达到1 429.20 μg/g,且黄铁矿烧渣中的重金属(除Cu和Sr外)主要是以分布于硅酸盐矿物相中的残余态形式存在,因此在环境中不易迁移释放.尽管黄铁矿烧渣中的重金属(除Cu和Sr外)不是以非残余态分布为主,但非残余态重金属的总量也不少,因此黄铁矿烧渣在环境中的潜在污染风险应当引起重视.     

Assessment of the phytoextraction potential of high biomass crop plants

A hydroponic screening method was used to identify high biomass crop plants with the ability to accumulate metals. Highest values of shoot accumulation were found in maize cv. Ranchero, rapeseed cv. Karat, and cardoon cv. Peralta for Pb (18 753 mg kg(-1)), Zn (10 916 mg kg(-1)), and Cd (242 mg kg(-1)), respectively. Subsequently, we tested the potential of these three cultivars for the phytoextraction of a metal spiked compost, finding out that, in cardoon and maize plants, increasing Zn and Cd concentrations led to lower values of root and shoot DW. By contrast, rapeseed shoot growth was not significantly affected by Cd concentration. Finally, a metal polluted soil was used to check these cultivars' phytoextraction capacity. Although the soil was phytotoxic enough to prevent the growth of cardoon and rapeseed plants, maize plants phytoextracted 3.7 mg Zn pot(-1). We concluded that the phytoextraction performance of cultivars varies depending on the screening method used.     

Anaerobic degradation behavior of nonylphenol polyethoxylates in sludge

Anaerobic biodegradation behavior of nonylphenol polyethoxylates (NPEOs) was investigated. Results showed that terminal electron acceptors, organic matters, initial concentration, and temperature had great influence on the anaerobic biodegradation of NPEOs. Anaerobic biodegradation of NPEOs could be enhanced by adding sulfate or nitrate while this process could be inhibited by adding organic matters. The maximum removal rate increased 1.24 microM d(-1) for each ten micromoles increase in initial concentration. The decrease in temperature caused a sharp decrease in the removal efficiency of NPEOs. The temperature coefficient (PHI) for the anaerobic biodegradation of NPEOs was 0.01 degrees C(-1). Nonylphenol (NP), the typical intermediate of NPEOs, could inhibit the anaerobic biodegradation of NPEOs only at high concentration. However, these environmental factors had no effect on the anaerobic biodegradation pathway of NPEOs. The accumulation of NP and short-chain NPEOs during NPEO biodegradation led to a significant increase in the estrogenic activity during the biodegradation period.     

New metallothionein assay in Scrobicularia plana: heating effect and correlation with other biomarkers

Metallothionein (MT) and other biomarker levels were measured in Scrobicularia plana clams to assess pollution of the Guadalquivir Estuary possibly affected by metals released from Aznalcóllar pyrite mine in 1998. After optimizing reagent concentrations for monobromobimane derivatization, MT levels were quantified by reversed-phase high-performance liquid chromatography coupled to fluorescence detection (RP-HPLC-FD) in heated or unheated digestive gland extracts and compared to those obtained by differential pulse polarography (DPP). MT content assayed by RP-HPLC-FD in unheated samples was higher than that obtained by DPP and correlated better with metals and anti-oxidant activities. MT assay by RP-HPLC-FD in unheated extracts would be preferable for assessing metal pollution, due to its greater sensitivity and specificity. In addition to MT induction, glyoxalase II inhibition was well correlated with metal contents. Our results suggest that metals at the estuary do not originate from Aznalcóllar spill, but from those carried along by the river and deposited at its concave bank.     

A novel approach to predict aquatic toxicity from molecular structure

The main aim of the study was to develop quantitative structure-activity relationship (QSAR) models for the prediction of aquatic toxicity using atom-based non-stochastic and stochastic linear indices. The used dataset consist of 392 benzene derivatives, separated into training and test sets, for which toxicity data to the ciliate Tetrahymena pyriformis were available. Using multiple linear regression, two statistically significant QSAR models were obtained with non-stochastic (R2=0.791 and s=0.344) and stochastic (R2=0.799 and s=0.343) linear indices. A leave-one-out (LOO) cross-validation procedure was carried out achieving values of q2=0.781 (scv=0.348) and q2=0.786 (scv=0.350), respectively. In addition, a validation through an external test set was performed, which yields significant values of Rpred2 of 0.762 and 0.797. A brief study of the influence of the statistical outliers in QSAR's model development was also carried out. Finally, our method was compared with other approaches implemented in the Dragon software achieving better results. The non-stochastic and stochastic linear indices appear to provide an interesting alternative to costly and time-consuming experiments for determining toxicity.     

Vertical growth in a coastal city: an analysis of Boa Viagem (Recife,Brazil)

Coastal zones around the world have experienced urban growth in the last 50 years. This landscape change brings new aspects for those zones and the environment. Real estate speculation is a decisive factor that changes landscape, with urban growth that occurs both in the extent and volume of construction. Boa Viagem (BV) beach at Recife, Northeast Brazil was just a sand bar covered by an Atlantic Forest until middle of the 1800s. Today, it has turned into a busy area of the city where residences, services and commerce co-exist in a densely packed arrangement. This work demonstrates and analyses vertical growth in BV and urban changes from 1961 to 2011. It was developed using digital image processing and visual analysis of satellite imagery and aerial photos. A GIS was created using SPRING and ArcScene, to calculate variations in area and volume creating a Volumetric Index (VI). The Minimal Mapping Area was used in sixteen census tract as samples of the area. Occupation and vertical growth were especially accentuated from 1981 to 1996 with the peak at 2011. Increases in vertical growth from shore to inland are evident in all parts of the district. This finding was confirmed by three-dimensional GIS representations of the study area and the VI during the period of this work, showing the potential of 3D GIS models for studying dense urbanization areas in coastal zones.