玉米赤霉烯酮暴露对秀丽线虫生殖系统的损伤作用

环境雌激素玉米赤霉烯酮(ZEN)的生态安全性近年来受到越来越多的关注。以秀丽隐杆线虫(Caenorhabdites elegans)为模式生物研究ZEN对线虫的生殖损伤作用。在DIC显微镜下观察,48 h暴露后与对照组相比,暴露组线虫性腺臂明显萎缩,卵母细胞数目和大小均受到显著影响(P0.01),并且可见部分暴露组线虫产卵器严重畸形。这均表明ZEN暴露对秀丽隐杆线虫生殖系统的发育和功能可产生损害作用。     

Microbial electrolysis cells with biocathodes and driven by microbial fuel cells for simultaneous enhanced Co(II) and Cu(II) removal

Cobalt and copper recovery from aqueous Co(II) and Cu(II) is one critical step for cobalt and copper wastewaters treatment. Previous tests have primarily examined Cu(II) and Co(II) removal in microbial electrolysis cells (MECs) with abiotic cathodes and driven by microbial fuel cell (MFCs). However, Cu(II) and Co(II) removal rates were still slow. Here we report MECs with biocathodes and driven by MFCs where enhanced removal rates of 6.0±0.2 mg?L⁻¹?h⁻¹ for Cu(II) at an initial concentration of 50 mg?L⁻¹ and 5.3±0.4 mg?L⁻¹ h⁻¹ for Co(II) at an initial 40 mg?L⁻¹ were achieved, 1.7 times and 3.3 times as high as those in MECs with abiotic cathodes and driven by MFCs. Species of Cu(II) was reduced to pure copper on the cathodes of MFCs whereas Co(II) was removed associated with microorganisms on the cathodes of the connected MECs. Higher Cu(II) concentrations and smaller working volumes in the cathode chambers of MFCs further improved removal rates of Cu(II) (115.7 mg?L⁻¹?h⁻¹) and Co(II) (6.4 mg?L⁻¹?h⁻¹) with concomitantly achieving hydrogen generation (0.05±0.00 mol?mol⁻¹ COD). Phylogenetic analysis on the biocathodes indicates Proteobacteria dominantly accounted for 67.9% of the total reads, followed by Firmicutes (14.0%), Bacteroidetes (6.1%), Tenericutes (2.5%), Lentisphaerae (1.4%), and Synergistetes (1.0%). This study provides a beneficial attempt to achieve simultaneous enhanced Cu(II) and Co(II) removal, and efficient Cu(II) and Co(II) wastewaters treatment without any external energy consumption.     

A pilot study on the effect of Cu,Zn, and Cd on the spectral curves and chlorophyll of wheat canopy at tiller stage

The aim of this study was to investigate canopy spectral reflectance responses to different levels of heavy metals copper (Cu), zinc (Zn), and cadmium (Cd) induced stress. Random blocks design experiment was conducted to simulate Cu, Zn, and Cd at five concentration levels. Chlorophyll and visible and near infrared canopy reflectance were measured for each treatment 56 days after seeding using chlorophyll meter SPAD-502 and spectroradiometer, respectively. New vegetative indices termed ratio of inclination angles (RIA), MERIS (the medium resolution imaging spectrometer) terrestrial chlorophyll index (MTCI), and normalized difference vegetation index (NDVI) were used to assess the response of canopy spectral reflectance to different heavy metal levels. Significant spectral variability especially in blue, red, and near infrared reflectance was observed for different heavy metal treatments. One-sample test showed significant difference for NDVI, MTCI, and RIA among five-level treatments at the 0.01 level. Correlation analysis demonstrated that the two vegetative indices (RIA and MTCI) were significantly correlated with chlorophyll meter values for Cd, Cu, and Zn treatments. However, NDVI was only significantly correlated with chlorophyll meter values for Cu and Zn treatments. Linear regression analysis also illustrated that RIA and MTCI were potential indices for predicting chlorophyll concentration with significant F test under Cu-, Zn-, and Cd-mediated stress.     

Toxicity evaluation of 10 oil gelling agents北大核心CSCD

Oil gelling agents are widely used in emergency response of marine oil spills. However, the biological toxicity of oil gelling agents is not well understood. This research aimed to evaluate the environmental safety of oil gelling agents used for rapid removal and cleanup of marine oil spills. We used luminescent bacteria (Acinetobacter sp. Tox2 and Acinetobacter sp. RecA) combined with exposure experiment using marine medaka (Oryzias melastigma) juveniles to detect the acute toxicity and genotoxicity of 10 oil gelling agents. As a result, a certain level of acute toxicity was detected from the oil gelling agent FOA and GMN-01 (the toxicity equivalent to 0.067 mg/L and 0.084 mg/L of HgCl2, respectively), and a certain level of genotoxicity was detected from the oil gelling agent NORSOREX (the toxicity equivalent to 0.307 mg/L of MMC) by the luminescent bacteria test. However, no obvious acute toxicity or genotoxicity was detected from the above three oil gelling agents in fish-exposure experiments. Our results suggest that the 10 oil gelling agents have no obvious acute toxicity or genotoxicity to higher organisms (including marine medaka). The luminescent bacteria test is more sensitive in detecting biological toxicity of oil gelling agents. This study provides a reference for environmental safety evaluation of the oil gelling agents used in the cleaning up of the marine oil spills.     

中国长江三角洲流域百菌清水生生物基准研究

通过生态毒理试验,获得百菌清对长江三角洲流域14种代表性水生生物的毒性数据。分别采用评价因子法、物种敏感度分布法和毒性百分数排序法,推导长江三角洲流域百菌清水生生物基准值。评价因子法、物种敏感度分布法和毒性百分数排序法得出的急性基准值分别是0.066μg·L~(-1)、3.00μg·L~(-1)和0.51μg·L~(-1),慢性基准值分别是0.0089μg·L~(-1)、0.40μg·L~(-1)和0.136μg·L~(-1)。比较了3种方法得出的基准值之间的差异并分析了原因,在此基础上,提出了我国长江三角洲流域百菌清水生生物基准推荐值,并与国外基准值进行了比较。研究结果可为中国农药水质标准制修订及水生生物风险评估提供科学依据。     

北京市污水处理厂出水中雌二醇的概率生态风险评价

随着北京市再生水补给河湖规模扩大,污水处理厂出水中雌激素活性物质引起的受纳水体生态风险日益受到关注。以雌二醇为例,利用物种敏感度分布(species sensitivity distribution,SSD)模型和联合概率曲线(joint probability curve,JPC)方法开展北京市污水处理厂出水的概率生态风险评价研究。通过文献调研整理了北京市约430个物种,利用美国环境保护署ECOTOX数据库获取了其中7个物种的雌二醇毒性数据,构建了正态分布、对数正态分布、Logistic分布、对数Logistic分布、Weibull分布、Burr III型分布和Gumbel分布等7个SSD模型,评价了北京市污水处理厂二沉池出水以及"混凝-沉淀-过滤-臭氧"、"超滤-臭氧"和"超滤-活性炭-臭氧"3种深度处理工艺组合出水的生态风险。结果表明,利用北京市7个物种雌二醇毒性数据构建的SSD模型具有合理性,SSD模型选择对生态风险评价结果的影响较大,对数正态分布、对数Logistic分布、Weibull分布和Burr III型均是可接受的SSD模型,其中拟合效果最佳的Burr III型分布模型给出了最保守的风险估计。Burr III型分布模型的模拟结果显示,北京市污水处理厂二沉池出水以及3种深度处理工艺组合出水的总体风险期望值分别为0.070、0.040、0.036和0.026,该结果可以为北京市未来水生态保护目标的设定以及污水处理工艺的升级改造提供决策参考。     

有机化合物生物富集因子的计算机预测研究

有机化合物在生物体内的富集,通常用生物富集因子(bioconcentration factor,简称BCF)来表达,这是化合物生态环境毒性评估的重要指标。为合理预测有机化合物是否易于生物富集,首先从美国环保局网站收集了624个具有不同BCF值的化合物,然后采用7种分子指纹结合5种机器学习方法(包括支持向量机、C4.5决策树、k最近邻法、随机森林法和朴素贝叶斯法),构建了化合物BCF的分类预测模型,所有模型均采用独立外部验证集进行验证。其中,使用Chemo Typer分子指纹结合支持向量机方法得到的二分类模型,整体预测准确度最好,达到了85.4%。通过采用信息增益、频率分析等方法,进一步确定了化合物中易于引起生物富集的关键子结构,包括芳基氯、二芳基醚、氯代烷烃等。研究中所用到的方法为有毒化学品的生态风险评价提供了良好可靠的预测工具。     

Performance of an ANAMMOX reactor treating wastewater generated by antibiotic and starch production processes

A pilot-scale anaerobic ammonia oxidation (ANAMMOX) reactor was used to treat mixed wastewater resulting from a chlortetracycline and starch production process. The results, collected over the course of 272 days, show that the ratio of influent ammonium to nitrite, pH, and temperature can all affect the efficiency of nitrogen removal. The ratio of influent ammonium to nitrite was maintained at about 1:1 at a concentration below 200 mg·L^-1 for both influent ammonium and nitrite. The total nitrogen (TN) loading rate was 0.15–0.30 kgN·m^-3·d^-1, pH remained at 7.8–8.5, and temperature was recorded at 33±1°C. The rate of removal of ammonia, nitrite, and TN were over 90%, 90%, and 80%, and the effluent ammonium, nitrite and TN concentrations were below 50, 30, and 100 mg·L^-1.     

Simultaneous analysis of five taste and odor compounds in surface water using solid-phase extraction and gas chromatography-mass spectrometry

In this paper, a method using solid-phase extraction (SPE) and gas chromatography-mass spectrometry (GC-MS) was developed to simultaneously analyze five taste and odor compounds in surface water, i.e., 2-methylisoborneol (2-MIB), 2,4,6-trichloroanisole (TCA), 2-isopropyl-3-methoxy pyrazine (IPMP), 2-isobutyl-3-methoxy pyrazine (IBMP), and trans-1,10-dimethyl-trans-9-decalol (geosmin, GSM). The mass spectrometry was operated in selective ion monitoring (SIM) mode. Three kinds of SPE columns and three eluting solvents were compared, the C18 column was chosen as optimum SPE column, and methanol was chosen as the optimum eluting solvent. It was found that the method showed good linearity in the range of 1–200 ng·L^-1 and gave detection limits of 0.5–1.5 ng·L^-1 for individual compounds. Good recoveries (93.5%–108%) and relative standard deviations (1.58%–7.31%) were also obtained. Additionally, concentrations of these taste and odor compounds in Jinan’s surface and drinking water were analyzed by applying this method, and the results showed that GSM and 2-MIB were the dominant taste and odor compounds in Jinan’s raw water.     

添加CaO对燃煤重金属元素富集效果的影响

选取CaO作为吸附剂,探究了不同燃烧温度下添加CaO对重金属元素在燃煤灰渣中富集效果的影响规律。实验结果表明:添加CaO对重金属元素Cr未起到富集作用,而对Mn,Ni,Cu,Zn,As,Cd,Pb 7种重金属元素的富集效果显著;随燃烧温度的升高,CaO对各赋存形态的Mn,Ni,Cu,Zn,As的富集效果先变好而后变差,对各赋存形态的Cd和Pb的富集效果越来越好;CaO添加比(预处理后的CaO颗粒与预处理后的原煤的质量比)越大,CaO对Mn,Ni,Cu,Zn,As,Cd,Pb的富集效果越好,燃烧温度为850℃时的最佳CaO添加比为4%。