哌嗪氨基二硫代甲酸型螯合树脂的合成及其吸附性能

用哌嗪和二硫化碳反应合成氨基二硫代甲酸中间体，再与二卤代烃反应得到1，4-双(二硫代酯基)哌嗪聚合物，考察了中间体和螯合树脂对Ag^ ，Cu^2 ，Zn^2 ，Ni^2 ，CO^2 ，Pb^2 ，Pd^2 ，Cr^3 的静态吸附性能，结果表明，两者均可以吸附金属离子，缩聚后的螯合树脂具有更强的吸附能力。     

海洋生态环境影响、评价与监测管理若干问题的探讨

随着涉海工程建设项目的日趋增多,海洋生态环境破坏的速度和累积效应日益加快,为保护海洋生态环境和海洋资源,促进海洋可持续发展,对涉海工程进行环境影响评价尤显重要.在此阐述了海洋开发对海洋生态环境的影响、海洋生态环境影响评价的必要性、任务和内容,提出了对海洋生态环境实施监测管理的对策措施.     

拟除虫菊酯类农药中间体在鱼体肌肉中的积累和释放行为的研究

本文研究了8种与拟除虫菊酯合成有关的化合物在金鱼和鲤鱼肌肉中的积累和释放行为.实验结果表明,不同鱼种积累同一化合物的程度不同,其差别随着分配系数的增加而显著增加.平衡时的生物富集因子的对数log(BCF)值与分配系数的对数log P值之间有较好的线性关系,其相关方程式为log(BCF)=1.062 logP-1.558(n=8,r=0.975).化合物从鱼体释放到水中的速度符合一级反应动力学公式.释放半衰期的对数log t_(1/2)值亦与log P值相关.其相关方程式为log t_(1/2)=0.784 log P-1.571(n=8,r=0.945).本文结果有助于预测该类有机污染物对环境的影响.     

量化风险评估(QRA)在海上生产设施风险管理中的应用

本文结合在胜利海区实施的量化风险评估工作，对量化风险评估在海上风险管理中的应用作一个简单的介绍。     

Effects of fulvic acid on the bioavailability of rare earth elements and GOT enzyme activity in wheat (Triticum aestivum)

Fulvic acid (FA) was extracted and purified from natural soil and the effects of such FA on the bioaccumulation of rare earth elements (REEs, La3+, Gd3+ and Y3+) in wheat seedling were investigated. The results indicated that low concentration of FA (<0.4 mg C/l to root, <0.7 mg C/l to tops (stem and leaves)) could increase the bioaccumulation values of REEs in wheat, but when the concentration of FA was high (>0.4 mg C/l to root, >1.5 mg C/l to tops) the bioaccumulation values were decreased. Kinetic experimental results suggested that bioaccumulation values of REEs in roots for 30 days were correlated with the kinetic linear growth equation, and correlation coefficients were higher than 0.861. The kinetic bioaccumulation pattern of REEs in tops was different from that in root. The bioaccumulation values of REEs in wheat root were much higher than in wheat tops. Variations of glutamic oxaloacetic transaminase (GOT) enzyme activities in wheat root and tops were determined. A good correlation existed between the bioaccumulation values of REEs and GOT enzyme activities, and the correlation coefficients were higher than 0.922. GOT is an important parameter influencing the bioavailability of REEs.     

秸秆发电的现状和展望

介绍了秸秆发电的重要意义以及在国内外的发展现状，分析了秸秆发电存在的问题，并提出相应的解决办法，最后展望了秸秆发电在国内的市场前景。     

中国省级土壤污染防治立法实践及建议

《土壤污染防治法》的出台填补了中国土壤污染防治方面的法律空白。自《土壤污染防治法》出台后,部分省份开始积极探索省级法规的出台。在对天津市、山西省、山东省、广东省出台的相关条例或办法进行梳理的基础上发现,各地立法在细化内容、提高可操作性、突出地方特色等方面进行了尝试,但也存在与现有管理制度不衔接、部分条款落实难度大、部分制度仍缺乏可操作性等不足,提出应加强立法前期工作、明确问题导向和依托经验、加快配套政策制定等建议,为其他省份土壤污染防治立法提供参考。     

Quantitative structure-activity relationships for the inhibition toxicity to root elongation of Cucumis sativus of selected phenols and interspecies correlation with Tetrahymena pyriformis

The comparative toxicities of selected phenols to higher plants Cucumis sativus were measured and the negative logarithm molar concentration of the root elongation median inhibition (IRC50) were derived. Quantitative structure-activity relationships (QSARs) were developed to explore the toxicity influencing factors and for predictive purpose. The toxicity data, fell into two classes: polar narcosis and bio-reactive. For polar narcotic phenols, a highly significant two-parameter QSAR based on 1-octanol/water partition coefficient (logKow) and energy of the lowest unoccupied orbital (E(lumo)) was derived (IRC50 = 0.77 log Kow - 0.39E(lumo) + 2.36 n = 22 r2 = 0.89). The five bio-reactive chemicals proved to show elevated toxicity due to their typical substructure involved diverse reactive mechanisms. In an effort to model all chemicals, a robust multiple-variable QSAR combining logKow, E(lumo) and Qmax, the most negative net atomic charge, was developed (IRC50 = 0.65 logKow - 0.72E(lumo) + 0.23Qmax + 2.81 n = 27 r2 = 0.94), indicating that hydrophobicity, electrophilicity and hydrogen bond interaction contribute mainly to the phytotoxicity. The toxicological data was compared with Tetrahymena pyriformis 2-d population growth inhibition toxicity (IGC50) and excellent interspecies correlations were observed both for the polar narcotics and for five reactive chemicals (for polar narcotics: IRC50 = 0.95IGC50 + 1.07 n = 16 r2 = 0.89; for bio-reactive chemicals: IRC50 = 0.98IGC50 + 2.19 n = 5 r2 = 0.97; and for all: IRC50 = 0.93IGC50 + 1.63 n = 21 r2 = 0.87). This suggested that T pyriformis toxicity could serve as a surrogate of C. sativus toxicity for phenols and interspecies correlation also could be established for reactive chemicals.     

Structure-activity relationships and response-surface analysis of nitroaromatics toxicity to the yeast (Saccharomyces cerevisiae)

Inhibition of growth of the yeast Saccharomyces cerevisiae (Cmiz, the minimum concentration that produced a clear inhibition zone within 12 h) for 24 nitroaromatic compounds was investigated and a quantitative structure-activity relationship (QSAR) developed based on hydrophobicity expressed as the l-octanol/water partition coefficient in logarithm form, log K(ow), electrophilicity based on the energy of the lowest unoccupied orbital (E(lumo)). All nitrobenzene derivatives exhibited enhanced reactive toxicity than baseline. The toxicities of mono-nitrobenzenes and di-nitrobenzenes were elicited by different mechanisms of toxic action. For mono-nitro-derivatives, both significant log K(ow) based and strong E(lumo)-dependent relationships were observed indicating that their toxicities were affected both by the penetration process and the interaction with target sites of interaction. The toxicities of di-nitrobenzenes were greater than mono-nitrobenzenes and no log K(ow)-dependent but highly significant E(lumo)-based relationship was obtained. This suggests that toxicity of di-nitrobenzenes was highly electrophilic and involved mainly their in vivo electrophilic interaction with biomacromolecules. In an effort to model the elevated toxicity of all nitrobenzenes, a response-surface analysis was performed and this resulted in a highly predictive two-variable QSAR without reference to their exact mechanisms (Cmiz = 0.41 log K(ow) - 0.89 E(lumo) - 0.46, r2 = 0.87, Q2 = 0.86, n = 24).     

Quantification of joint effect for hydrogen bond and development of QSARs for predicting mixture toxicity

A QSAR model is successfully proposed to predict the toxicity effect on Photobacterium phosphoreum by nonpolar-narcotic-chemical mixtures and/or polar-narcotic-chemical mixtures. For nonpolar-narcotic-chemical mixtures and polar-narcotic-chemical mixtures, their corresponding hydrophobicity-based QSAR models are derived from regression analysis. Comparison of these two QSAR models make us believe that it is the joint effect of hydrogen bond in polar-narcotic-chemical mixture that leads to the difference between these two models. Such joint effect of hydrogen bond can be quantified as AMH and BMH by using the different partition coefficients of mixtures in various organic phase/water systems. And the regression analysis results convinced us that the introduction of AMH does improve the quality of the QSAR model with r2=0.948, S.E.=0.166 and F=745.201 at P=0.000 for total 84 mixtures.