邻苯二甲酸丁基苄酯对小鼠睾丸能量代谢相关酶的影响

为了从生殖细胞能量代谢角度探讨邻苯二甲酸丁基苄酯(BBP)对雄性小鼠生殖损伤的机制,以昆明系雄性小白鼠为实验对象,研究了BBP对小鼠睾丸组织能量代谢相关酶的影响.实验设0、125、250、500、1000mg·kg-1(质量分数)5组浓度梯度,连续灌胃染毒30d后,采用分光光度法检测小鼠睾丸组织匀浆中乳酸脱氢酶(LDH)、琥珀酸脱氢酶(SDH)、Ca-Mg-ATPase酶的活性以及睾丸脏器系数.结果发现,1)与对照组相比,高浓度染毒组(500、1000mg·kg-1)LDH、SDH和Ca-Mg-ATPase活性均极显著降低(p<0.01);而低浓度染毒组(125mg·kg-1)3种酶活性均无显著变化(p>0.05);中浓度染毒组(250mg·kg-1)LDH没有显著变化(p>0.05),而SDH、Ca-Mg-ATPase均显著降低(p<0.05,p<0.01).2)染毒30d后,各染毒组睾丸脏器系数略有下降,但与对照组相比,差异均未达到显著水平(p>0.05).以上结果表明,较高水平的BBP不仅可以干扰睾丸组织有氧代谢及无氧代谢的产能过程,还可以干扰生殖细胞对能量的利用,提示能量代谢的障碍可能是BBP对雄性生殖细胞产生损伤的原因之一.     

Effect of organic acids on adsorption and desorption of rare earth elements

Effect of citric, malic, tartaric and acetic acids on adsorption of La, Ce, Pr and Nd by and desorption from four typical Chinese soils was studied. Generally, adsorption capacities of rare earth elements (REEs) were significantly correlated with the cation exchange capacity (CEC) of soils. In the presence of acetic acids adsorption of REEs was similar to that in the presence of Ca(NO3)2. However, in the presence of citric, malic and tartaric acids adsorption of REEs by Heilongjiang, Zhejiang and Guangdong soils decreased to varying extents if compared with that in the presence of nitrate and acetic acid. The significance of suppression followed the order of citric acid > malic acid > tartaric acid > acetic acid, which was consistent with the order of stability of complexes of REEs with these organic acids. However, the adsorption increased with increasing equilibrium solution pH. For Jiangxi soil with low soil pH, CEC and organic matter these organic acids exerted an even more serious suppression effect on the adsorption of REEs. Another feature of the relationship between the adsorption of REEs and equilibrium solution pH was that the adsorption of REEs decreased with increase of pH from 2 to 4.5 and then slightly increased with further increase of pH. Desorption of REEs varied with soils and with organic acids as well. REEs were released easily from Heilongjiang, Zhejiang and Guangdong soils in the presence of organic acid. Generally, desorption of REEs decreased with increasing equilibrium solution pH. Effect of organic acids on desorption of REEs from Jiangxi soil was more complicated. In the presence of citric and malic acids no decrement and/or slight increase in desorption of REEs were observed over the equilibrium solution pH from 3 to 6.5. The reasons for this were ascribed to the strong complexing capacity of citric and malic acids and low soil pH, CEC and organic matter of Jiangxi soil.     

Comparison of a rhizosphere-based method with other one-step extraction methods for assessing the bioavailability of soil metals to wheat

There is no method recognized as a universal approach for evaluation of bioavailability of heavy metals in soil. Based on the simulation of the rhizosphere soil conditions and integration of the combined effects of root-soil interactions as a whole, a rhizosphere-based method has been proposed. Wet fresh rhizosphere soil was extracted by low-molecular-weight organic acids (LMWOAs) to fractionate metal fractions of soil pools, which were then correlated with the metal contents of wheat roots and shoots. The rhizosphere-based method was compared with other one-step extraction methods using DTPA, EDTA, CaCl2, and NaNO3 as extractants and the first step of the Community Bureau of Reference (BCR) method. Simple correlation and stepwise multiple regression analysis were used for the comparison. Simple correlation indicated that the extractable Cu, Zn, Cr, and Cd of soils by the rhizosphere-based method were significantly correlated with the metal contents of wheat roots. For DTPA, BCR1 and EDTA methods there was a relatively poor correlation between the extractable Cu, Zn and Cd of soil and metal contents of wheat roots. Stepwise multiple regression analysis revealed that the equation of the rhizosphere-based method was the simplest one, and no soil properties variables needed to be added. In contrast, the equations of other one-step extraction methods were more complicated, and soil properties variables needed to be entered. The most distinct feature of the rhizosphere-based method was that the recommended method was suitable for acidic, neutral and near alkaline soils. However, the DTPA and EDTA extraction methods were suitable for calcareous soils only-or-only for acidic soils. The CaCl2, and NaNO3 extraction methods were only suitable for exchangeable metals. In short, the rhizosphere-based method was the most robust approach for evaluation of bioavailability of heavy metals in soils to wheat.     

A model for evaluation of the phytoavailability of trace elements to vegetables under the field conditions

Currently, several single extraction methods are used for the evaluation of the phytoavailability of metals using pot experiments. A systematic comparison, however, is lacking. It is especially true for the field studies. This study was to investigate the phytoavailability of trace elements to vegetables grown on metal-contaminated soils under the field conditions. All soils collected were typical calcareous soils in northern China. Four frequently used methods using CaCl2, diethylenetriaminepentaacetic acid (DTPA), CH3COOH, and water as extractants were compared for phyto-availability. The concentrations of metals extracted by these four extraction methods ranged from 3.42 to 815, 1.51- 6965, 0.732-24473, 0.688-7863, 0.246-685, 1.99-5337 0.203-4649 ng/g for Cr, Ni, Zn, Cu, Cd, Pb and REEs, respectively. Simple correlation analysis indicated that a significant correlation (Cr: r = 0.5411**; Zn: r = 0.6352**; Cd: r = 0.6979**; Pb: r = 0.5537** and REEs: r = 0.5185** -0.6684**) was observed between the CaCl2-extractable metals in soil solution and that in Chinese cabbage. In addition, soil pH, organic matter (OM), and cation exchange capacity (CEC) also affect the phytoavailability. An empirical model was developed to express the combined effect of soil properties on the phytoavailability. The stepwise multiple regression analysis demonstrated that the phytoavailability of trace elements strongly correlated with the extractable fraction by CaCl2, total metal concentration in soils, and soil pH, OM, CEC. This model can describe approximately 75-95% of the variability of metal uptake and the r2 values ranged from 0.741** to 0.954**, which were much better than the single correlation analysis. For celery and cole, a strong correlation was obtained for Cr, Ni, Zn, Cu, Cd, La, Ce, Pr and Nd. For spinach and Chinese cabbage, however, a positive correlation was only observed for 1 and 3 metals, respectively. Generally, the developed empirical model can integrate the combined effects of soil properties, extractable metal fractions in soil solutions and plant species on the phytoavailability of metals to vegetables in the field conditions.     

一种新型吸附材料的除磷性能研究

针对水体富营养化的磷，采用吸附法进行处理，制备出一种新型的除磷吸附剂，对水中磷酸盐的吸附性能进行了研究，结果表明，该吸附剂对磷酸盐的吸附速率很高，在酸性条件下，其最大吸附容量为34mg／g。当溶液pH值在1～3范围内，含磷浓度为50mg／L，吸附剂投加量为200mg，接触时间为2h，磷酸盐的去除效率可达98％以上；再生后的吸附剂容量变化不大，是一种具有较高应用价值的新型材料。     

农地非农化过程中损失农地生态价值的研究综述

农地的生态系统服务对人类的可持续发展有着重要的意义,而该系统的部分生态价值因未在市场上反映出来而往往被人类所忽略,本文在农地非农化过程中关于损失的生态价值方面进行总结,从研究方法、内容等方面总结了现有研究的特点,从生态服务价值的揭示程度、研究视角的广泛程度、研究方法的完善程度等方面分析了国内研究中存在的基本问题,为今后的研究提供理论依据。     

从大气环境规划单方面确定旅游环境容量的方法简介

本文提出了旅游环境容量的概念,阐明了如何用大气环境规划的方法来最优地利用大气环境容量,给出了大气质量最优控制模型和大气环境规划中的对策模型,并从大气环境容量这一单因子计算了旅游环境容量,可为旅游城市的旅游业发展提供一些参考依据。      

新能源场群连锁故障路径的仿真预测方法

新能源场站的大规模集群化接入不仅增加了连锁故障的发生概率,也恶化了故障发生后的电网运行状态。为适应电网运行分析的新要求,以新能源机组和无功补偿装置实际运行工况为依据,研究了一种用于预测新能源场群连锁故障路径的仿真计算方法。通过基于大电网数据的仿真算例分析,得到了某新能源场群在典型约束条件下的详细连锁故障路径。结果表明:基于新能源场站机组实际情况建立的仿真模型更适宜于连锁脱网路径的仿真预测。     

苏通大桥结构健康状态评估技术研究与应用(2):主梁损伤预警

为了建立"环境因素归一化"的苏通大桥主梁损伤预警方法,本文对苏通大桥主梁240天的小波包能量谱与温度实测数据进行了季节相关性研究。分析结果表明,苏通大桥主梁的小波包能量谱与温度具有明显的季节相关性,其特征频带能量比的日平均值,随着温度的季节变化在一年中可以发生平均约200%的变化。在此基础上,采用6次多项式模型对小波包能量谱—温度进行了统计建模,并采用均值控制图法对特征频带能量比的异常变化进行了统计模式识别。结果表明,运用本文方法可以有效地消除温度的季节变化对斜拉桥实测小波包能量谱的影响,较好地识别出结构损伤引起的特征频带能量比10%的异常变化,适合于苏通大桥主梁的实时在线监测。     

苏通大桥结构健康状态评估技术研究与应用(3):主梁损伤定位

为提高基于模态参数的损伤识别方法的损伤敏感性和噪声鲁棒性,将多源数据融合技术引入到苏通大桥主梁损伤定位方法中。基于D-S证据理论对模态柔度和模态应变能指标进行数据融合,并以苏通大桥扁平钢箱梁为分析对象,对融合后损伤定位指标的应用效果进行了讨论。结果表明:基于数据融合的损伤定位方法具有较强的损伤敏感性,只需要较少的低阶模态信息就能识别主梁的早期损伤;数据融合后,损伤定位指标可以在较强的噪声环境下准确地识别斜拉桥钢箱梁的损伤,具有较好的工程实用性。