2,2’,4,4’-和3,3’,4,4’-四氯联苯(TCB)对小白鼠体外受精的影响(英文)

采用体外受精技术评价环境污染物 2 ,2’ ,4,4’ 和 3,3’ ,4,4’ 四氯联苯对小白鼠卵母细胞受精能力和 2 细胞胚胎发育的毒性作用 .实验结果表明 :ρ(PCB) =0 .1,1.0 ,10 .0mg/mL的 2 ,2’ ,4,4’ 和 3,3’ ,4,4’ 四氯联苯均显著降低小白鼠卵母细胞的受精能力 ;ρ(PCB) =1.0 ,10 .0mg/mL的 2 ,2’ ,4,4’ 和 3,3’ ,4,4’ 四氯联苯使卵母细胞的退化率和 2 细胞的畸形率显著增加 ;两种四氯联苯对小白鼠卵母细胞体外受精能力、退化率和 2 细胞胚胎的畸形率无统计差异 .表 2参 2 5     

硅酸盐细菌解钾兼拮抗活性菌株的筛选

从紫色土壤中分离筛选出具有解钾拮抗双重活性的硅酸盐细菌CS1和CS29菌株。接菌处理,其水溶性钾分别增加75％和65％,转化率达0．82％和0．72％。两株菌对革兰氏阳性的蜡样芽孢杆菌,金黄色葡萄球菌,藤黄八叠球菌等和革兰氏阴性的大肠杆菌均有较强的抑菌活性。筛选菌株中91．2％具有解钾活性,但拮抗活性菌株只占总数的11．6％,表明二性状之间无相关关系。表4参7     

底泥中多环芳烃(PAHs)提取方法评析

总结了底泥中多环芳烃(PAHs)提取的处理流程和国内外多种提取方法,比较了几种在我国较为常用的提取方法的效率.同时还提出了PAHs分离纯化的方法和步骤,并指出了提取过程中影响实验回收率的几个因素.     

区域红壤资源信息系统的建立

将GIS技术与数学模型相结合,探讨区域红壤资源信息系统的建立与应用.在明确红壤资源信息系统研制的目的、任务与基本原则的基础上,进行系统的总体设计.划分系统的模块和确定系统的各个组成部分,并确定系统的软硬件配置、设计系统界面.建立空间数据库及多种分析与应用模型.     

污染土壤添加有机物质对黑麦草吸收铜的影响

研究了泥炭和堆肥对铜污染土壤盆栽黑麦草吸收铜状况的影响。结果表明 ,黑麦草地上、地下部含铜量皆随土壤污染水平提高而增加 ,地下部的增幅远大于地上部 ;添加有机物质明显降低了黑麦草地上、地下部的含铜量 ,平均降幅近 3 0 %。泥炭降低黑麦草地上、地下部含铜量的作用随土壤污染水平的提高而逐渐变小 ,而堆肥的作用至重度污染水平仍较明显 ;在近 4 0 0mg/kg铜污染水平上 ,有机物质表现出最佳降低植株铜吸收量的效果。有机物质的控制作用与土壤pH有关 ,并在 3茬黑麦草的试验期间内得以维持     

单甲脒饱和蒸气压的测定和估算

用气体的法测单甲脒在１５,２５,３５和４５℃时的饱和蒸气分别为０．２０２,０．５５４６,１．９５,６．２９Ｐａ;亨利常数计算值分别为６．３０×１０＾－４,１．６７×１０＾－３,５．６８×１０＾０－３和１．７８×１０＆－２,根据Ｃｌａｕｓｉｕｓ Ｃｌａｐｅｙｒｏｎ方程求出单甲脒在常温下气化热为８９．２ｋＪ．ｍｏｌ＾－１。     

渤海排污口邻近海域异养细菌的组成与分布

对渤海4个重点监测排污口（北塘、大蒲河、弥河和虞河）邻近海域异养细菌的组成和分布进行了调查研究。结果表明,分离到的各排污口邻近海域的细菌隶属于变形菌门（Proteobacteria）、厚壁菌门（Firmicutes）、放线菌门（Acti-nobacteria）和拟杆菌门（Bacteroidetes）4个细菌类群,其中变形菌门的细菌最丰富。各排污口的优势菌有所不同,北塘、弥河2个采样点的优势菌分别为Bacillus sp．、Pseudoalteromonas sp．,大蒲河采样点的优势菌为Vibrio sp．和Oceanospirillum sp．,虞河采样点的优势菌为 Shewanella sp．和 Bacillus sp．。多维尺度分析表明,北塘和虞河采样点的细菌种群特征较相近,细菌种群分布特征可能与排污口的海洋环境有一定的相关性。     

Migratory crustaceans as biomonitors of metal pollution in their nursery areas. The Lesina lagoon (SE Italy) as a case study

Lichens collected in an unpolluted forest (background) in November 2004, transplanted at 41 sampling sites along the Madina-Tetteh Quarshie road, retrieved in February 2005 and analysed were found to contain higher concentrations of Manganese (Mn), Vanadium (V), lead, Cadmium (Cd), Chromium (Cr) and Nickel (Ni) than in the background area. Observations showed that of all the heavy metals studied, Manganese concentrations were highest at all sampling points with maximum values around a traffic light, an intersection and car fitting/mechanic workshops. Significant correlations were found between Ni and Mn, Mn and Cr and Mn and V. Statistical analysis also revealed a relatively even dispersion of the studied elements on the eastern side of the road than on the western side.     

Fecal source tracking by antibiotic resistance analysis on a watershed exhibiting low resistance

The ongoing development of microbial source tracking has made it possible to identify contamination sources with varying accuracy, depending on the method used. The purpose of this study was to test the efficiency of the antibiotic resistance analysis (ARA) method under low resistance by tracking the fecal sources at Turkey Creek, Oklahoma exhibiting this condition. The resistance patterns of 772 water-isolates, tested with nine antibiotics, were analyzed by discriminant analysis (DA) utilizing a five-source library containing 2250 isolates. The library passed various representativeness tests; however, two of the pulled-sample tests suggested insufficient sampling. The resubstitution test of the library individual sources showed significant isolate misclassification with an average rate of correct classification (ARCC) of 58%. These misclassifications were explained by low antibiotic resistance (Wilcoxon test P < 0.0001). Seasonal DA of stream E. coli isolates for the pooled sources human/livestock/deer indicated that in fall, the human source dominated (P < 0.0001) at a rate of 56%, and that human and livestock respective contributions in winter (35 and 39%), spring (43 and 40%), and summer (37 and 35%) were similar. Deer scored lower (17–28%) than human and livestock at every season. The DA was revised using results from a misclassification analysis to provide a perspective of the effect caused by low antibiotic resistance and a more realistic determination of the fecal source rates at Turkey Creek. The revision increased livestock rates by 13–14% (0.04 ≤ P ≤ 0.06), and decreased human and deer by 6–7%. Negative misclassification into livestock was significant (0.04 ≤ P ≤ 0.06). Low antibiotic resistance showed the greatest effect in this category.     

Nutrient dynamics between sediment and overlying water in the inner part of Izmir Bay, Eastern Aegean

In this article a concept is described in order to predict and map the occurrence of benthic communities within and near the German Exclusive Economic Zone (EEZ) of the North Sea. The approach consists of two work steps: (1) geostatistical analysis of abiotic measurement data and (2) calculation of benthic provinces by means of Classification and Regression Trees (CART) and GIS-techniques. From bottom water measurements on salinity, temperature, silicate and nutrients as well as from punctual data on grain size ranges (0–20, 20–63, 63–2,000 μ) raster maps were calculated by use of geostatistical methods. At first the autocorrelation structure was examined and modelled with help of variogram analysis. The resulting variogram models were then used to calculate raster maps by applying ordinary kriging procedures. After intersecting these raster maps with punctual data on eight benthic communities a decision tree was derived to predict the occurrence of these communities within the study area. Since such a CART tree corresponds to a hierarchically ordered set of decision rules it was applied to the geostatistically estimated raster data to predict benthic habitats within and near the EEZ.