毛细管柱气相色谱法测定水中痕量氯酚

本文采用GDX-401树脂富集水中氯酚类化合物,经洗脱、萃取、衍生化,在经过改装的SP2305气相色谱上用毛细管柱——电子扑获检测器测定。对色谱条件、衍生化及富集条件作了研究。测定了地面水和自来水中ppt级的氯酚。     

固相萃取-高效液相色谱法测定水中呋喃丹、甲萘威和阿特拉津

采用固相萃取-高效液相色谱(SPE - HPLC)二极管阵列检测器同时测定水中呋喃丹、甲萘威和阿特拉津,以甲醇-水为流动相,采用梯度洗脱方式,选择220 nm为检测波长,二氯甲烷为洗脱剂.呋喃丹在0.200 mg/L ～5.00 mg/L、甲萘威和阿特拉津在0.020 mg/L～5.00 mg/L范围内线性良好,检出限...     

在线富集固相萃取-超高效液相色谱串联质谱法测定地表水中对硝基苯酚

建立了在线富集固相萃取-超高效液相色谱串联质谱法测定水中对硝基苯酚的方法。经过滤的水样用在线固相萃取系统富集后,以氨水-甲醇系统作为流动相进行梯度洗脱,通过超高效液相色谱串联质谱仪进行检测。方法的检出限为3. 52 ng/L,回收率为91. 6%～108%,相对标准偏差为5. 5%～9. 5%。该方法可大大简化复杂的前处理过程,提高灵敏度及准确性,可用于大批量地表水中对硝基苯酚的测定。     

固相萃取-高效液相色谱-质谱联用法测痕量双酚A的方法优化

通过优化固相萃取和液相色谱条件,建立了固相萃取-高效液相色谱-质谱法测定水中双酚A的检测方法.水样经C18固相萃取柱净化并富集双酚A后,采用C18反相色谱柱XR-ODS(2.0 mm×100 mm,2.2μm)分离,MRM负离子模式测定.结果表明:BPA浓度为5～200 ng/L范围内线性关系良好(相关系数为0.999...     

超高效液相色谱-串联质谱同时测定水中的敌百虫和敌敌畏

建立超高效液相色谱-串联质谱(UPLC-MS-MS)同时测定水中敌百虫和敌敌畏的方法。水样经0.22μm滤膜过滤,直接用超高效液相色谱-三重四极杆串联质谱多级反应监测法(MRM)定量检测敌百虫、敌敌畏。考察了色谱柱、流动相、滤材对分析的影响,并确定了最佳分析条件。最佳条件下,敌百虫、敌敌畏的检出限分别为0.6μg/L和2.3 ng/L。用建立的方法测定了4种实际水样中的敌百虫、敌敌畏,水样加标回收率为82.2%~112.1%。方法简便快捷、绿色环保,适合于地表水及地下水中敌百虫和敌敌畏的同时分析。     

气相色谱法测定水中酞酸酯类化合物

建立了水中15种酞酸酯的液液萃取/固相萃取—气相色谱测定方法。就液液萃取探讨了萃取溶剂、萃取溶剂用量和水样pH值的影响,就固相萃取探讨了固相萃取柱、水样pH值和洗脱溶剂的影响。根据研究结果,确定液液萃取条件为调节pH至7,以二氯甲烷为萃取溶剂,萃取5 min;固相萃取条件为水样调节pH至7,经C18柱萃取后,以正己烷/丙酮混合溶剂(V∶V=5∶1)洗脱。测定15种酞酸酯类化合物的实际水样,液液萃取加标回收率为68%~128%,固相萃取加标回收率为65%~135%;液液萃取方法检出限为0.36~0.47μg/L,固相萃取方法检出限为0.20~0.39μg/L。     

固相萃取—超高效液相色谱串联质谱法测定地表水中红霉素和青霉素

应用超高效液相色谱—三重四极杆质谱联用仪(UPLC-MS/MS)建立了地表水中红霉素和青霉素的分析方法,通过对固相萃取柱、洗脱溶剂、有机相比例、流动相流速、色谱柱、流动相体系等前处理过程及仪器条件进行优化,确定了前处理和仪器的最优条件。在最优条件下,目标物在水中回收率为76.4%～94.4%,相对标准偏差(RSD)在6.36%～18.3%,线性范围均在0.100～20.0μg/L,红霉素和青霉素的相关系数均在0.995以上。该方法具有检测限低、回收率高等优点,经实际样品测试,可适用于地表水中红霉素和青霉素的同时检测,为水环境风险评价和控制的相关研究提供支持和帮助。     

固相萃取- GC/MS法测定水中有机氯农药

建立了固相萃取-气相色谱／质谱联用测定水中痕量六六六、滴滴涕和环氧七氯的方法。采用C18固相萃取柱富集水样,二氯甲烷／丙酮混合溶剂洗脱,加入菲-d10作为内标,利用气相色谱／质谱联用仪选择离子监测模式检测,内标法定量,定性、定量准确,线性响应良好,干扰小,按采样1 L计算,方法检出限为4．26ng／L～19、2ng／L,RSD在0、4％-6、3％之间,平均加标回收率在77．7％～118％之间,实际样品测定结果表明方法能满足环境水体中痕量有机氯农药的监测要求。     

磁性分散固相萃取气相色谱-质谱法测定地表水中邻苯二甲酸酯

本文建立了一种磁性分散固相萃取配合气相色谱-质谱测定地表水中痕量邻苯二甲酸酯的方法。减少了萃取剂的用量、萃取时间、解吸溶剂及盐度对实验结果的影响。在优化条件下,邻苯二甲酸酯类化合物的检出限在0.1～0.7μg/L,回收率在84.2%～111%,相对标准偏差在3.3%～5.5%。与传统的液液萃取及固相萃取相比,该方法具有简便、快捷和灵敏的特点,适用于水中低含量邻苯二甲酸酯类化合物的测定。     

污水处理厂废水中苯胺类化合物的测定及生态风险分析

本研究建立了固相萃取结合高效液相色谱-串联质谱法测定水样中苯胺类化合物的方法,水样前处理使用PCX固相萃取小柱吸附苯胺类化合物,以甲醇溶剂洗脱,采用ZORBAX Eclipse Plus C18色谱柱,电喷雾质谱正离子模式,以乙腈-0. 2%甲酸水为流动相,梯度洗脱,同时测定水样中12种苯胺类化合物。结果显示,进水中12种苯胺类化合物加标回收率62.3%～119%,日内精密度为2.55%～11.8%,日间精密度为4.17%～13.6%;出水中12种苯胺类化合物加标回收率为70.5%～115%,日内精密度为2.49%～10.5%,日间精密度为3.01%～15.5%;12种物质的检出限为0.25～1.97μg/L。该方法操作简单、结果准确,能够满足水样中12种苯胺类化合物的定性定量测定,可同时处理大批样品。用该方法对江苏省淮安市18家污水处理厂的进、出水样进行了测定,12种苯胺类化合物在18个采样点均能检出,其中N,N-二乙基间甲苯胺检出水平最高,平均值为15.29ng/L,2,6-二甲基苯胺同样检出水平最低,平均值为5.22 ng/L。采用风险商值法评估对12种苯胺类化合物进行了生态风险评估,结果表明二苯胺、苯胺和间甲苯胺为中等潜在生态风险,其他均为低生态风险。     

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。     

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.     

Concentrations of Cadmium, Mercury and Selenium in Blood, Liver and Kidney of Common Eider Ducks from the Canadian Arctic

We determined concentrations of selected trace elements inlivers, kidneys and blood samples from common eiders (Somateria mollissima borealis) from the eastern Canadianarctic during 1997 and 1998. Concentrations of totalmercury and organic mercury were generally low in the liversof these birds (less than 6 and 4 g g^–1 dry wt,respectively). Selenium ranged between 11–47 g g^–1 inlivers. Renal cadmium concentrations were among the highestever published for this species (range: 47–281 g g^–1). The regressions of log-transformed concentrations ofthese trace elements in blood samples on those in liver orkidney were significant (all P-values < 0.05) andpositive. However, except for organic mercury (RM ² = 0.83), the co-efficients of determination were low tomoderate (range of R ²: 0.26–0.52), suggesting poorto moderate predictive capability. Furthermore, therelationships between total mercury in blood and liverchanged between 1997 and 1998, suggesting that it would notbe possible to predict consistently, concentrations ofmercury in blood from those in liver based on samples takenin one year. Blood samples can be used to determineconcentrations of these trace elements in common eiders (andprobably other sea duck species as well). The use of bloodsamples is especially warranted when it is undesirable tokill the animal such as when working with rare or endangeredsea duck species or when the objective is to relate traceelement exposure to annual survival rates. However, thepredictive equations developed here should not be used topredict expected concentrations in one type of tissue fromthose in the other.