小体积液液萃取-GC/MS法测定地表水中有机磷农药

采用小体积液液萃取-气相色谱/质谱联用法测定地表水中有机磷农药,以1.2 mL正己烷为萃取剂,磷酸三苯酯为内标,对8种目标化合物的富集倍数达156～436.方法在1.00 μg/L～20.0 μg/L范围内线性良好,8种有机磷农药的检出限均为0.2 μg/L,实际水样平行测定的RSD为2.1%～9.7%,平均加标回收率...     

气相色谱法测定土壤中37种有机磷农药残留

采用气相色谱法测定土壤中37种有机磷农药,当取样量为10 g时,37种有机磷农药方法检出限为0. 002～0. 015 mg/kg,测定下限为0. 008～0. 060 mg/kg。低含量加标样品中有机磷农药的加标回收率为72. 8%～104%,相对标准偏差为4. 2%～13. 8%;中含量加标样品中有机磷农药的加标回收率为71. 5%～101%,相对标准偏差为4. 3%～13. 5%;高含量加标样品中有机磷农药的加标回收率为74. 6%～109%,相对标准偏差为6. 8%～14. 6%。该方法灵敏度高、分离效果好、重现性好,能够满足土壤中37种有机磷农药残留检测的要求。     

大体积进样-气相色谱法测定水中多种痕量有机磷农药

建立了大体积进样气相色谱-火焰光度法检测水中多种痕量有机磷农药的方法.重点研究了程序升温汽化(PTV)进样条件的选择,通过对分流排空量、吹扫时间、PIV起始温度等PTV参数的选择,优化了测试条件,提高了检测灵敏度.水中9种有机磷农药的线性良好,10ml水样中三乙基偶磷硫酯的检出限为0.01μg/L,硫磷嗪、致螟磷、甲拌磷、乐果、乙拌磷、甲基对硫磷、对硫磷和氨磺磷的检出限可达0.001μg/L.水中添加多种有机磷农药准确度精密度试验,平均回收率为85.8%～108%,相对标准差在3.3%～11.4%之间.与常规方法相比,该方法前处理简单快速、分析成本低.灵敏度、准确度和精密度均符合地表水检测质量的要求,适用于水环境中多种农药残留的快速检测.     

固相微萃取-毛细管气相色谱法快速同步分析水中有机氯及有机磷农药

固相微萃取是一种快速、简便,集萃取浓缩进样于一体的样品前处理技术,具有分析时间短、灵敏度高、无需有机溶剂的优点.用固相微萃取富集水中8种有机氯及7种有机磷农药,毛细管气相色谱ECD检测器分离分析,整个分析过程只需26min,检出限可达0.002～1μg/L,已用于地表水中有机氯及有机磷农药含量的测定.     

固相微萃取-便携式GC/MS快速测定水中痕量有机磷农药

采用固相微萃取-便携式气相色谱/质谱联用法（In situ SPME/GC-MS）分析地表水和废水中6种有机磷农药,通过优化测定条件,使6种有机磷农药在200 μg/L~500 μg/L范围内线性良好。方法检出限为033 μg/L～122 μg/L,低、高质量浓度标准溶液6次测定结果的RSD为68%~175%,加标回收率为849%~109%,与实验室方法的测定结果基本一致。     

毛细管胶束电动色谱柱端安培检测对氧磷、甲基对硫磷、乙基对硫磷、扑灭松

用毛细管胶束电动色谱柱端安培检测的方法对对氧磷、甲基对硫磷、乙基对硫磷、扑灭松等四种常见有机磷农药进行了分离检测,对缓冲液种类、离子浓度、pH值、胶束浓度、电极的检测电势等检测条件进行了最佳优化。结果表明,此方法对四种农药的质量检测限较气相色谱法低3～4个数量级,并将用于地表水样品的检测。     

快速固相萃取法测定食品中多种有机磷农药残留

报道了一种简便、快速的石墨碳固相萃取(SPE)食品中多种有机磷农药残留及测定的方法.采用丙酮浸泡、超声提取食品中的有机磷农药,经石墨碳固相小柱净化萃取后,用气相色谱-火焰光度检测法直接测定,加标回收率在72.0%～107%之间,RSD为6.2%～12.7%,最低检出限可达0.001 mg/kg.     

固相净化气相色谱法测定水产品中多种有机磷农药残留

建立了水产品中8种有机磷农药残留同时测定的方法,选择乙腈提取,ENVI-C18串联PSA固相萃取柱净化,经丙酮/正己烷混合溶液（体积比1∶1）洗脱,洗脱液氮吹浓缩后采用气相色谱外标法定量。8种有机磷农药在0.050 mg/L～1.00 mg/L范围内线性良好,检出限在1.8 μg/kg～2.5 μg/kg之间,3个添加水平加标样品平行测定的相对标准偏差为1.1%～5.7%,回收率为69.8%～116%。     

高效液相色谱串联质谱法直接测定环境水样中8种有机磷农药

建立了一种高效液相色谱-串联质谱法（LC-MS/MS）同时测定环境水样中8种有机磷农药的分析方法。以地表水、地下水、污水和废水样品作为代表性水样基底,前处理方法仅采用简单的滤膜过滤,在C₁₈柱分离后,在多反应监测模式下进行分析检测。结果表明,敌百虫、毒死蜱等有机磷农药在样品保存过程中迅速发生降解,分析须在样本采集后1 d内完成;该方法的检出限为0.10~0.20 μg/L,线性拟合相关系数（r）均>0.995;不同基底、不同浓度的加标回收实验表明,8种有机磷农药在环境基底中的回收率为74.5%~118%,相对标准偏差为0.4%~8.6%。该方法操作简便、灵敏度高、准确性好,在未来环境监测工作中具有较好的应用前景。     

串联四极杆质谱(GC-QqQ-MS/MS)测定土壤中的有机氯农药和多氯联苯

建立了用加速溶剂萃取仪(ASE)萃取、凝胶渗透色谱(GPC)净化、气相色谱/串联四极杆质谱多反应监测、同时测定土壤中17种有机氯农药和19种多氯联苯的方法.加标浓度在3.3μg/kg时的平均回收率在79.6%～93.2%之间,相对标准偏差在2.9%～13.0%之间,定量限在0.01～0.51μg/kg之间.在检测土壤样品中的有机氯农药和多氯联苯残留方面,Gc-QqQ-MS/MS相对于气相色谱/电子捕获检测器(GC-ECD)和GC-MS的选择离子检测(SIM)模式具有非常明显的优势,尤其是在低浓度水平的定性和定量方面.     

Topsoil and Housedust Metal Concentrations in the Vicinity of a Lead Battery Manufacturing Plant

The aim of the study was to determine the extent of heavy metal pollution in the vicinity of a lead battery manufacturing plant in the Czech Republic, both in the general environment and within homes. Topsoils (0–5 cm) were sampled from 100 sites along 4 transects which crossed the battery factory, the town centre and outlying rural areas. Housedust samples were collected from 15 plant-workers' homes and 15 non plant-workers' homes located at various distances from the factory. Samples were analysed for levels of Pb, Zn, Cd, Cu, As and Sb, using ICP-AES. Soil concentrations of Pb, Cd, As and Sb peaked at the perimeter fence of the battery factory with Pb levels of up to 12 650 g g> ^-1. Concentrations of these metals decreased exponentially within 500 m of the plant. Whilst the battery factory does appear to be a source of all the metals with the exception of Zn, emissions do not appear to be transported to any great extent over distances of more than 0.5 km. Topsoil and housedust concentrations of Pb, Zn, Cd, Cu, As and Sb in the general Mlada Boleslav area do not appear to be significantly different from those recorded in a large scale survey of urban soils in the United Kingdom. A comparison of housedust Pb concentrations in homes of plant workers and non-plant workers suggests that there may be a small input of Pb into the home environment by battery plant employees.     

微波消解-原子吸收光度法测定土壤中铜锌铅镉镍铬

用微波消解－原子吸收光度法测定土壤中铜，锌，铅，镉，镍和铬。通过硝酸－氢氟酸－过氧化氢体系消解液对土壤样品消解，选择出微波最佳消解条件。对硝酸－盐酸－过氧化氢体系消解液和硝酸－氢氟酸－过氧化氢体系消解液进行消解对比试验，发现前者不能将土壤样品完全消解，后者能将样品消解完全，但需将消解液中剩余的酸赶尽，否则测定结果将明显偏低。微波消解土壤与传统电热消解相比，操作简便快速，可提高工作效率。     

An Overview of Contaminant-Related Issues Identified by Monitoring in San Francisco Bay

The San Francisco Estuary Regional Monitoring Program for Trace Substances (RMP) began in 1993 and is sponsored by 74 local, state, and federal agencies and companies through their discharge or Bay use permits. The RMP monitors water, sediment, toxicity, and bivalve bioaccumulation at 25 sites in the Bay that are considered to represent "background" conditions. Several major environmental issues have been identified by the RMP. Polychlorinated biphenyls and mercury were often above water quality guidelines, and often occurred in fish tissues above U.S. Environmental Protection Agency (U.S. EPA) screening values. Concentrations do not appear to be decreasing, suggesting continuing inputs. Episodes of aquatic toxicity often occurred following runoff events that transport contaminants into the Bay from urbanized and agricultural portions of the watershed. Sediment toxicity occurred throughout the Bay, and has been correlated with concentrations of specific contaminants (chlordanes, polynuclear aromatic hydrocarbons) at some locations; mixtures of contaminants were probably also important. Since the RMP does not monitor all ecosystem components, assessments of the overall condition of the Bay cannot be made. However, in terms of contamination, the RMP samples suggest that the South Bay, and North Bay sites are moderately contaminated.     

Biomagnification factors (fish to Osprey eggs from Willamette River,Oregon, U.S.A.) for PCDDs,PCDFs, PCBs and OC pesticides

A migratory population of 78 pairs of Osprey (Pandion haliaetus) nesting along the Willamette River in westernOregon was studied in 1993. The study was designed to determinecontaminant concentrations in eggs, contaminant concentrationsin fish species predominant in the Ospreys diet, andBiomagnification Factors (BMFs) of contaminants from fish specieseaten to Osprey eggs. Ten Osprey eggs and 25 composite samplesof fish (3 species) were used to evaluate organochlorine (OC)pesticides, polychlorinated biphenyls (PCBs), polychlorinateddibenzo-p-dioxins (PCDDs), and polychlorinated dibenzofurans(PCDFs). Mercury was also analyzed in fish. Geometric meanresidues in Osprey eggs were judged low, e.g., DDE 2.3 g g^-1 wet weight (ww), PCBs 0.69 g g^-1, 2,3,7,8-TCDD 2.3 ng kg^-1, and generally well below known threshold values for adverse effects on productivity, and the population was increasing. Osprey egg residue data presentedby River Mile (RM) are discussed, e.g., higher PCDDs were generally found immediately downstream of paper mills and eggsfrom the Willamette River had significantly elevated PCBs and PCDDs compared to reference eggs collected nearby in the CascadeMountains. Prey remains at nest sites indicated that the Largescale Sucker (Catostomus macrocheilus) and NorthernPikeminnow (Ptychocheilus oregonensis) accounted for an estimated 90.1% of the biomass in the Osprey diet, and composite samples of these two species were collected from different sampling sites throughout the study area for contaminant analyses. With the large percentage of the fishbiomass in the Osprey diet sampled for contaminants (and fisheaten by Ospreys similar in size to those chemically analyzed),and fish contaminant concentrations weighted by biomass intake, a mean BMF was estimated from fish to Osprey eggs for the largeseries of contaminants. BMFs ranged from no biomagnification(0.42) for 2,3,7,8-TCDF to 174 for OCDD. Our findings for themigratory Osprey were compared to BMFs for the resident HerringGull (Larus argentatus), and differences are discussed. Webelieve a BMF approach provides some basic understanding ofrelationships between contaminant burdens in prey species offish-eating birds and contaminants incorporated into their eggs,and may prove useful in understanding sources of contaminants inmigratory species although additional studies are needed.     

The Draft of the New German Guideline VDI 3782/8 to Model Automobile Exhaust Dispersion

The draft of the German guideline to calculate automobile exhaust dispersion is explained. It contains a two-stage-system: For first quick estimates the guideline contains the simple models MLuS and STREET. In case these models are not applicable or their results shows concentration levels close to the air quality standards, the more complex models PROKAS_V and MISKAM are recommended. PROKAS_V is a Gaussian plume model, MISKAM is a 3-dimensional microscale non hydrostatic flow model for built-up areas with an Eulerian dispersion model. The guideline comprises cases in rural areas without or with few adjacent buildings as well as urban areas with buildings near the roads. The contribution gives information about the models, typical results and some of the problems showing up presently.     

Hydrocarbon Utilization in Yeast Isolates Found to Grow in Association with Petroleum in a Polluted Ultisol of Midwestern Nigeria

The population counts of hydrocarbon-utilising yeasts weremonitored at six sampling stations in the Benin City municipalarea over a four-week period. Although the population countswere relatively constant in each locality, the highest countsoccurred in areas heavily polluted by domestic and industrialeffluents. A total of thirty-five hydrocarbon-degrading yeastswere isolated from soil at the sampling stations usingn-hexadecane as sole carbon source. The isolates were identifiedas belonging to the genera Candida (27 strains), Endomycopsis (4 strains). All the organisms grew on long-chainn-alkane, kerosene, diesel oil and crude oil but failed to growon short-chain n-alkane, aromatic and alicyclic hydrocarbons.Measurement of growth attributes of the isolates usingn-hexadecane, diesel oil and crude oil as substrates showed thatthe Candida species were better utilizers of hydrocarbonsubstrates relative to Endomycopsis and Schizosaccharomyces species.     

Hydrologic–Economic Model for Managing Irrigation Intensity in Irrigation Areas under Watertable and Soil Salinity Targets

This paper gives mathematical details and sample applications of SWAGMAN Farm (SWAGMAN, Salt Water and Groundwater Management), a farm-scale hydrologic economic model that integrates agronomic, climatic, irrigation, hydrogeological and economic aspects of irrigated agriculture. The model is capable of determining optimum mix of land use to keep watertable and soil salinity within acceptable limits while maximising the economic returns. Alternatively, the model can simulate water and salt balance and economics of a given cropping preference. Web-based and Geographic Information Systems versions of the model are available for integration with the environmental reporting systems of the irrigation areas.     

火焰原子吸收光谱法测定苏州开发区26种蔬菜中铜锌铁锰镍

用火焰原子吸收光谱法测定了苏州开发区26种蔬菜中的铜、锌、铁、锰和镍的含量。蔬菜样品用硝酸高氯酸混合酸进行消解。4次测定值的相对标准差<5%,加标回收率在92%～107%之间。26种蔬菜中铜、锌、铁、锰、镍的含量基本均在世贸组织规定的范围内。     

Cyanobacterial Flora from Polluted Marine Shores

Citation of cyanobacterial cultures from the shores of south west coast of Gujarat, India and their relationship with sea water quality, influenced by extensive pollutant runoff is reported in this study. Intensity of pollution was evaluated by physico-chemical analysis of water. Higher load of suspended solids (60–1000 mg l⁻¹) and nutrients (PO₄ ⁻P: 1.3–4 μmole l⁻¹ and NO₃ ⁻N: 12.5–17.8 μmole l⁻¹) were persistent throughout the analysis. Community structure is seen to be influenced by such persistent pollution. Twenty nine cyanobacterial species were isolated belonging to 9 genera of 4 families, with an elevated occurrence of Oscillatoria and Lyngbya species. No heterocystous cyanobacteria were isolated throughout the study.     

Using Multiple Taxonomic Groups to Index the Ecological Condition of Lakes

Biological indicators of communitiestypically reflect a common environmental signalreflecting the general condition of the ecosystem, as well asindividual signals by indicators differentiallysensitive to particular environmental conditions. Wedescribe here a method of integrating and interpretingsuch indicators from 19 New England lakes for fivetaxonomic groups (diatoms, benthos, zooplankton, fish,and birds). Our approach provides a systematicstandardized way to integrate multiple metrics fromdifferent taxonomic groups by addressing four elementscrucial to analyzing data from multiple indicators: covariate control, re-scaling of data, standardizing the sign of responses, and dimensional reduction. We evaluated the biologicalmetrics against individual environmental stressors andagainst multivariate physicochemical metricscharacterizing general anthropogenic stress among thelakes. The method detected a response to variationin the gross environmental condition of the lakes thatwas correlated across taxa and metrics. In addition,a differential response to near shore conditions wasdemonstrated for fish. The success of the approach inthis study lends support to its general application toecological monitoring involving complex data sets.