超高效液相色谱—串联质谱快速测定水中的溴氰菊酯

建立了超高效液相色谱-三重四级杆串联质谱(UPLC-MS/MS)快速测定地表水及饮用水中溴氰菊酯的方法,并应用于实际水样的检测分析。结果表明:水样经0.22μm滤膜过滤后可直接采用超高效液相色谱-三重四级杆串联质谱仪多重反应监测(MRM)模式定量检测水中溴氰菊酯;最优分析条件下,溴氰菊酯的检出限为0.30μg/L,其线性检测范围为0.30~20.0μg/L,相关系数为0.999 7;采用该方法检测水中的溴氰菊酯,不同水平(2.00、5.00μg/L和20.0μg/L)样品加标回收率为95.5%~98.5%,相对标准偏差为1.37%~3.59%。方法快速简便、灵敏度高、定性定量准确,适合日常批量水样的快速分析。     

UPLC-MS/MS法同时测定水中甲萘威、呋喃丹和阿特拉津

水样经聚四氟乙烯滤头过滤,直接用超高效液相色谱-三重四极杆串联质谱(UPLC-MS/MS)同时测定甲萘威、呋喃丹和阿特拉津。通过试验考察不同材质滤头和各仪器条件对测定的影响,并确定最佳分析条件,使该方法在0.01μg/L~10.0μg/L范围内线性良好。甲萘威、呋喃丹和阿特拉津的方法检出限分别为6.1 ng/L、2.8 ng/L、3.1 ng/L,空白水样的3个质量浓度加标回收率在96.4%~110%之间。该方法用于测定实际水源水及饮用水中的甲萘威、呋喃丹和阿特拉津,结果均未检出,实际水样平均加标回收率为81.4%~97.2%。     

超高效液相色谱-串联质谱法测定水中痕量双酚A

采用超高效液相色谱-串联质谱法测定水中痕量双酚A,水样经预处理后,以BEH C18超高效液相色谱柱分离,在质谱电喷雾离子源负离子多反应监测模式下测定.方法在0.200μg/L～10.0μg/L范围内线性良好,相关系数r为0.9992,方法检出限为0.06μg/L,空白及实际样品加标回收率为87.4% ～114%,RSD为3.6% ～7.4%.     

超高效液相色谱-质谱法测定地表水中丁基黄原酸

建立了直接测定水中丁基黄原酸的超高效液相色谱-电喷雾串联四极杆质谱法,无需对水样进行富集,水样过滤后就可直接测定。该方法简单、快捷、灵敏度高,方法检出限可达0.2μg/L。     

超高效液相色谱-电喷雾串联四级杆质谱法快速分析水中微囊藻毒素LR

建立超高效液相色谱-电喷雾串联四极杆质谱快速测定水中微囊藻毒素LR(MC-LR)的方法。水样经0.2μmGHP一次性针头过滤器过滤,应用超高效液相色谱/电喷雾串联四极杆质谱仪多离子反应监测(MRM)法定量检测MC-LR。经方法学验证,该方法对MC-LR的最低检出限LOD为0.08μg/L(进样量10μl),最低定量限LOQ是0.10μg/L。在0.2~20.0μg/L的线性范围中,相关系数r=0.9982,回收率范围91.5%~110.3%。方法灵敏度高,专属性强,操作简便快速,定量准确,测定浓度范围宽,是环境水质样品中MC-LR含量检测的理想方法。     

固相萃取-超高效液相色谱-串联质谱法快速测定环境水样中30种极性农药

建立了固相萃取-超高效液相色谱-串联质谱快速测定环境水样中30种极性农药的方法.30种极性农药经过固相萃取(SPE)富集净化,以超高效液相色谱-串联质谱(UPLC-MS-MS)多级监测模式(MRM)外标法进行定性定量分析.结果表明:环境水样中30种极性农药的检出限为0.2～5 ng/L.对同一环境样品进行了低、中、高3...     

水中微囊藻毒素的超高效液相色谱-串联质谱法研究

建立测定水体中微囊藻毒素(MCYST)的超高效液相色谱-串联质谱分析方法.水样通过固相萃取富集净化,采用超高效液相色谱-串联质谱测定,6min内完成3种MCYST的分离及检测.MCYST-LR、MCYST-RR、MCYST-YR检出限分别为3.5、2.5、5.0ng/L,回收率为85.6％～107.9％,为水质微囊藻毒素监测提供了一种快速、准确、灵敏的分析方法.     

固相萃取-液相色谱-串联质谱法测定水中5种雌激素

建立了固相萃取-液相色谱-串联质谱组合联用技术同时测定地表水、饮用水和污水处理厂出厂水中的5种雌激素(17β-雌二醇、雌三醇、雌酮、17α-炔雌醇、己烯雌酚)的方法。水样经过全自动固相萃取仪富集,以OASIS HLB柱为萃取柱,甲醇为洗脱剂,用液相色谱-串联四极杆质谱联用仪分析定量。分别在0.5~8、5~80μg/L范围内线性良好,相关系数为0.995~0.998。17β-雌二醇、雌三醇、17α-炔雌醇的检出限均为5μg/L,雌酮与己烯雌酚的检出限为0.5μg/L。5种雌激素的纯水加标回收率为63.6%~120.2%,地表水加标回收率为59.8%~91.5%,自来水加标回收率为55.3%~92.1%,精密度为3.7%~10.7%,该方法简单、可靠,可用于水中雌激素类污染物的同时测定。     

超高效液相色谱/串联质谱法测定饮用水源水中多种藻毒素

饮用水源水样品经过直接进样或固相微萃取法净化后,用超高效液相色谱/串联质谱测定水中11种藻毒素。通过试验优化测定条件,使该方法在0.500μg/L~50.0μg/L范围内线性良好,检出限为0.01μg/L~0.05μg/L。对同一实际环境样品做3个质量浓度水平加标回收试验,6次测定结果的RSD为2.2%~9.3%,回收率为76.1%~108%。将该方法用于测定环巢湖湖面12个监测断面水样,结果 3组样品中MC-YR、MC-LR和MC-RR值为0.3μg/L~0.8μg/L。     

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。     

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.