Ein neuer Biotest mit der HefeSaccharomyces cerevisiae auf aquatische Toxizit?t

Zusammenfassung  Die G?rleistung der HefeSaccharomyces cerevisiae wird als Bioindikator zur Erfassung aquatoxischer Wirkungen genutzt. Dazu wird die CO₂-Produktion der Hefezellen nach einer Vermehrungsphase unter toxischen Einflüssen gemessen. Als Kennwert (EC₂₀) dient die Schadstoffkonzentration, die die G?rung um 20% mindert. Es werden organische Verbindungen (unpolare und polare Narkotika), anorganische Salze (insbesondere von Schwermetallen), Tenside und Pflanzenschutzmittel geprüft. Die Ergebnisse werden, soweit verfügbar, mit den Daten eines Ciliatentestes mitTetrahymena pyriformis verglichen. Es ergab sich eine übereinstimmung von 90% bei vergleichbarer Testempfindlichkeit. Ergebnisse des Hefetests sind damit ?kotoxikologisch aussagef?hig. Der Test ist reproduzierbar, methodisch einfach zu handhaben und bietet eine Alternative für die Abwasserprüfung, da steriles Arbeiten nicht erforderlich ist. Online-First: 15. Juni 2000     

Morphophysiological Rearrangements in Fish in Response to Pollution (in the Light of S.S. Shvarts' Theory)

The results of a study on morphophysiological variation in fish inhabiting a subarctic lake exposed to chronic industrial pollution are described using an example of cisco, Coregonus lavaretus. It is shown that indices of the heart, liver, kidneys, gills, and fatness in these fish are increased significantly and have retained increased values for the past 20 years. The observed changes are analyzed on the basis of biochemical data. The results of studies on the dynamics of hematological parameters in fish are used for characterizing the development of toxicosis. Adaptive rearrangements associated with an increase in the metabolic rate and the activation of protective systems in the fish are explained in the context of S.S. Schvarts' concept. The idea is proposed that the additional energy cost of detoxification may be responsible for morphophysiological variation in fish under conditions of water pollution.     

洹河水中痕量有机污染物的研究

采用固相萃取技术 ,对洹河水中痕量有机物进行富集 ,大量的地表水被 C1 8键合相萃取后 ,洗脱液经干燥浓缩用于 GC和 GC/MS分析 ,鉴定出 64种有机物 ,并对苯系物、杂环类等 2 7种主要污染物作了定量测定 ,得出有机物的沿途变化规律。     

江苏省12大湖泊水环境现状与污染控制建议

江苏面积大于50km^2的12个湖泊的水质恶化、面积减少、富营养化、湖泊生态系统退化与湖泊受TP、TN的污染和围湖造田等有关。经济快速发展，第二产业结构偏重，排放污染的总量超过湖泊承载力，湖泊底泥释放N、P及入糊河流携带污染物为造成湖泊环境问题的根本原因。建议调整产业结构，执行严格的排放标准，围绕重点区域、重点行业、重点企业和重点污染源治理，由控制COD为主转为控制COD和N、P并重，引水调控水质，建立湖泊资源数据库和生态系统信息网络，开展湖泊污染物来源分析和富营养化机理研究，开展跨界区域统筹对湖泊综合治理。     

中波发射台电磁辐射环境影响理论预测与模拟类比方法的比较分析

中波台发射设备项目电磁辐射环境影响评价采用理论计算和模拟类比方法结果一致，运用理论计算方法评价结果相对偏安全。     

卷件结合整理环境监测档案

分析了环境监测档案管理特点，提出改卷为件和卷件结合开展档案归档整理的思路与方法。划分出直接改卷为件整理和采用组件与虚拟卷整理的环境监测档案类别。提出了将卷件结合整理与改卷为件的档案纳入同一个编号体系管理的办法。     

不同环境介质中异丙隆残留的前处理方法研究

利用高效液相色谱法(HPLC)测定水、土壤和植物中除草剂异丙隆的残留量.采用LC-18固相萃取小柱分离、净化和富集水中异丙隆残留;利用丙酮/水(体积比为3:1)振荡提取土壤中的异丙隆残留,并通过硅胶柱层析净化、分离;以乙酸乙酯为提取剂,采用超声波提取植物样品中的异丙隆残留,并用Florisil固相萃取小柱净化、分离.利用HPLC-UVD(Ultraviolet Detector,紫外检测器)定性、定量测定水、土壤和植物样品中异丙隆残留量.结果表明,异丙隆HPLC的线性检测范围为0.1～16 mg/L,决定系数\%R2\%=0.999 9,最低检测浓度为0.012 mg/L.水的加标回收率为90.7%～91.1%,相对标准偏差为3.0%～12.0%;土壤的加标回收率为88.4%～97.4%,相对标准偏差为6.9%～9.8%;植物的加标回收率为94.4%～99.9%,相对标准偏差为4.6%～9.0%.研究为异丙隆残留的检测提供了一种有效方法.     

SPE-UPLC-MS/MS法测定地下水中多种农药残留

采用固相萃取超高效液相色谱串联质谱法(SPE-UPLC-MS/MS)同时测定地下水中涕灭威、克百威、2,4滴和五氯酚等4种农药残留,通过优化试验条件,使方法在10.0μg/L～200μg/L范围内线性良好,检出限为0.003μg/L～0.006μg/L.标准溶液低、中2个质量浓度水平的加标回收率为84.1％ ～98.8...     

高效液相色谱法测定水中7种三嗪类除草剂

采用液液萃取和固相萃取两种方法预处理,高效液相色谱二极管阵列检测器测定水中7种三嗪类除草剂,选择了合适的检测波长和梯度淋洗条件。方法在0.100 mg/L~2.00 mg/L范围内线性良好,检出限为0.06μg/L~0.15μg/L,水样平行测定的RSD为1.6%~6.5%,加标回收率为95.0%~106%。     

Development,validation, and application of a method for the GC-MS analysis of fipronil and three of its degradation products in samples of water,soil, and sediment

A method for the identification and quantification of pesticide residues in water, soil, and sediment samples has been developed, validated, and applied for the analysis of real samples. The specificity was determined by the retention time and the confirmation and quantification of analyte ions. Linearity was demonstrated over the concentration range of 20 to 120 µg L^?1, and the correlation coefficients varied between 0.979 and 0.996, depending on the analytes. The recovery rates for all analytes in the studied matrix were between 86% and 112%. The intermediate precision and repeatability were determined at three concentration levels (40, 80, and 120 µg L^?1), with the relative standard deviation for the intermediate precision between 1% and 5.3% and the repeatability varying between 2% and 13.4% for individual analytes. The limits of detection and quantification for fipronil, fipronil sulfide, fipronil-sulfone, and fipronil-desulfinyl were 6.2, 3.0, 6.6, and 4.0 ng L^?1 and 20.4, 9.0, 21.6, and 13.0 ng L^?1, respectively. The method developed was used in water, soil, and sediment samples containing 2.1 mg L^?1 and 1.2% and 5.3% of carbon, respectively. The recovery of pesticides in the environmental matrices varied from 88.26 to 109.63% for the lowest fortification level (40 and 100 µg kg^?1), from 91.17 to 110.18% for the intermediate level (80 and 200 µg kg^?1), and from 89.09 to 109.82% for the highest fortification level (120 and 300 µg kg^?1). The relative standard deviation for the recovery of pesticides was under 15%.