活性炭电极对溶液中NaCl的电吸附行为

用活性炭、酚醛树脂和乌洛托品制备了活性炭电极。利用扫描电子显微镜(SEM)、傅立叶变换红外光谱仪(FTIR)分析了电极的表面性质,发现电极表面的黏结剂可完全碳化,且活性炭上带有大量含氧官能团;利用电化学工作站采用循环伏安法对电极进行了测试,表明电吸附是一稳定而又可逆的过程,电极电流的最大值由碳化前的0.019 8A升至碳化后的0.042 7A,双电层电容提高到碳化前的2.16倍;对NaCl的电吸附实验表明碳化后电极的电吸附率是碳化前的1.59倍,活性炭的吸附容量也由1.14mg/g提高到3.29mg/g,且活性炭电极具有良好的重复利用性。     

2012年上半年我国南方地区极端阴雨天气评价——以湖南省为例

基于湖南省97个地面气象观测站观测资料,根据所选定的阴雨天气评价指标,运用数理统计方法,对2012年上半年湖南省阴雨天气特征及强度进行分析评估,结果表明,阴雨天气阶段性特征显著,属隆冬至初春历史罕见的寡照低温多雨事件与初春至初夏的极端多雨寡照事件的组合。同时根据社会调查数据对阴雨天气的影响展开多方位分析,得出低温阴雨天气不仅对农业造成了重大影响,而且对水利、交通、建筑业等多行业和人们身体健康也有较大影响,以此提出了应对极端天气气候事件的对策建议。     

草木樨在汞胁迫下的遗传分化研究

以草木樨(Melilotus officinalis)种子为研究对象,将其暴露于0、20、40和60 mg·L-1浓度的氯化汞中进行萌发,并对存活的幼苗利用水平淀粉凝胶电泳进行等位酶分析.结果表明,草木樨在Me和Pgi基因座具有多态性,其平均的等位基因数为3.0基因座-1,杂合性为0.332 - 0.342,草木樨符合...     

水稻基因类型与生长环境对精米中砷积累的影响

砷(As)是动植物非必需的有毒类金属。水稻是对As有较强吸收和富集能力的大宗粮食作物,大米的食用是我国及东南亚地区人体暴露As的最主要途径,严重威胁人体健康。水稻籽粒中As的积累与水稻的基因型及众多环境因子密切相关,而且表现出复杂的交互作用。在浙江省选择了不同土壤砷背景值的5块水稻田,同时在嘉兴市农科院布置了人工添加As的盆栽实验,比较了20个水稻品种在这6个实验点的精米中As含量。结果表明,水稻基因型与环境及其相互作用对水稻籽粒中As的积累均有极显著影响,并且筛选得到了5个精米中As含量较低的基因型:秀水128、秀水09、秀水134、甬粳16和Y-05-8。     

Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems

Polycyclic aromatic hydrocarbons （PAHs） are complex organic compounds which are identified as significant carcinogenic to human health. PAHs （mainly in particle phase） are susceptible to atmospheric oxidant gases, especially ozone, nitrogen oxides （NOx）, hydroxyl radical （OH）, and could be degraded on filters during sampling process, leading to an underestimation of ambient PAH concentrations. The goal of this work was to investigate particle associated PAHs sampling artifacts caused by ozone in summer of Beijing. Comparative sampling systems were operated simultaneously during the whole campaign, one with activated carbon ozone denuder, the other being set as conventional sampling system. Activated carbon denuder was testified to be highly efficient to eliminate ozone from air stream. In general, nine particle-bound PAHs observed from conventional sampler were all lower than those from ozone denuder system. The total PAHs （particle phase） concentration was averagely underestimated by 35.9% in conventional sampling procedure. Benzo[a]pyrene （BaP） had the highest percentage of mass loss. founded to have influences Ambient temperature was on PAHs sampling artifacts. High temperature can increase loss of particle associated PAHs during sampling.     

亚热带水库沉积物钻孔中有机质的历史记录及其环境意义

氢指数(HI)是重要的有机质评价参数,能够反映沉积有机质中脂肪大分子物质的相对含量,并用于反演水生生态系统的历史初级生产力,有助于研究藻类生产力对污染物的富集作用。为了探讨氢指数的环境指示作用,选择了亚热带的3座水库作为研究对象,采用Rock-Eval热解与生物标志物-中性糖方法相结合的研究技术,研究了沉积钻孔有机质的来源与特征;并结合210Pb和137Cs定年技术,综合运用氢指数和总糖含量对水库的初级生产力进行了重建。结果表明:中富营养的增塘和联安水库沉积有机质主要来源于浮游藻类,且受降解的程度较小,而贫营养的新丰江水库钻孔下层有机质主要是受降解作用或陆源高等植物等的影响。近年来,3个水库的HI值都有显著性的增加,且与其对应的总糖含量以及近50年来的滑动平均温度都高度的相关,说明这些水库都经历了气候变暖所引起的初级生产力增长。同时,升高的水库生产力扩大了沉积物剖面中重金属和多环芳烃的累积。     

条斑紫菜中磷和钙的亚细胞分布及其与富集砷的关系

研究条斑紫菜中磷和钙的亚细胞分布,并探讨其与条斑紫菜富集砷的关系。结果表明:条斑紫菜吸收磷、钙主要分布在细胞壁组分中,平均占总磷含量的53.9%,占总钙含量的61.25%,其次为细胞液。与对照组相比(砷暴露浓度0.5 mg·L~(-1)),在添加磷浓度为0.1 mg·L~(-1)和1.0 mg·L~(-1)处理组中,条斑紫菜中磷、砷之间呈现协同效应;当添加磷浓度为5.0 mg·L~(-1)和10.0 mg·L~(-1)时,条斑紫菜中磷、砷之间则呈现拮抗作用,砷的富集量分别比照组下降61.37%和72.73%。经添加钙液暴露过的条斑紫菜,当钙暴露浓度为1 000 mg·L~(-1)时其对砷的富集量比对照组减少15.51%。可知,5.0 mg·L~(-1)磷处理条斑紫菜,条斑紫菜对砷的富集受到明显的抑制。     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Semi-closed synthesis of nitrogen and oxygen Co-doped mesoporous carbon for selective aqueous oxidation

Heteroatom-doped meso/micro-porous carbon materials are conventionally produced by harsh carbonization under an inert atmosphere involving specific precursors, hard/soft templates, and heteroatom-containing agents. Herein, we report a facile synthesis of N and O co-doped meso/micro-porous carbon (NOMC) by template-free carbonization of a small-molecule precursor in a semi-closed system. The semi-closed carbonizaiton process yields hydrophilic NOMCs with large surface area in a high yield. The porous structure as well as the elemental composition of NOMCs can be modulated by changing the holding time at a particular temperature. NOMCs as metal-free heterogeneous catalysts can selectively oxidize benzyl alcohol and its derivatives into aldehydes/ketones with>85％conversion in aqueous solution, which is much higher than that of the control sample obtained in tube furnace (21％conversion), mainly due to their high N content, high percentage of pyridinic N, and large surface area. The presence of O-containing moieties also helps to improve the hydrophilicity and dispersion ability of catalysts and thus facilitates the mass transfer process during aqueous oxidation. The NOMC catalysts also dispayed excellent activity for a wide range of substrates with a selectivity of>99％.     

邻苯二甲酸酯类增塑剂的体外细胞毒性评价

邻苯二甲酸酯(Phthalate esters, PAEs)是环境介质中的一类典型的有机污染物。已有研究表明,PAEs具有明显的内分泌干扰毒性,并会对动物和人体的生殖发育与神经系统造成损伤。体外细胞评价模型因具有高通量、测试周期短、成本低和毒性效应易于探明等技术优点,被广泛应用到PAEs毒理学效应的研究中。本文从内分泌干扰毒性、胚胎发育毒性、神经毒性、免疫毒性、遗传毒性以及致癌作用等方面,对PAEs的一些体外细胞毒性评价模型进行了分类和总结,并对其相应的研究进展进行了综述。本文旨在为体外细胞毒性评价模型的有效利用提供借鉴,并对PAEs毒性作用机制的深入研究提供思路和依据。