固相萃取-高效液相色谱法测定饮用水中酚类化合物

采用固相萃取-高效液相色谱法测定饮用水中酚类化合物,优化了试验条件。方法在0 mg/L~40.0 mg/L范围内线性良好,14种酚类化合物的检出限为0.6μg/L~2.6μg/L,水样平行测定的RSD为0.2%~2.7%,加标回收率为96.3%~99.9%。     

固相萃取-高效液相色谱法测地表水中11种酚类化合物

建立了固相萃取-高效液相色谱法同时测定地表水中11种酚类化合物的方法。水样经过全自动固相萃取仪富集,以HLB柱为萃取柱,乙腈(含1%乙酸)为洗脱剂,用高效液相色谱仪分析定量。该方法在0.5~5.0 mg/L范围内线性良好,相关系数为0.999 6~0.999 9,11种酚类化合物的纯水加标回收率为82.0%~111%,地表水加标回收率为98.5%~116%,精密度为3.58%~4.67%,检出限为1×10-4~5×10-4mg/L,该方法简单实用、准确可靠,可用于地表水中酚类化合物的同时测定。     

水中多种酚类化合物同步提取方法研究

对水中14种酚类化合物的液液萃取过程进行研究,选取不同萃取溶剂体系、水样pH和盐析条件等多个对萃取效率有决定性影响的参数进行优化。通过上述条件的优化选择,实现了同步对包括低沸点的苯酚、一氯代酚及较难提取的甲基酚和硝基酚等14种不同类型酚类化合物最优的萃取,提取效率达到75.2%~110.3%。     

环境水体中痕量酚类化合物气相色谱-质谱联用测定法研究

建立了液-液萃取-气相色谱/质谱联用仪测定环境水体中痕量酚类化合物的方法。用乙酸乙酯萃取环境水中的痕量酚类化合物,加入萘-d8作为内标,利用气相色谱-质谱联用仪选择离子监测(SIM)的方式进行检测,内标法定量,定性、定量准确,线性响应良好,回归曲线的相关系数均>0.999,平均回收率在89.4%~104%之间,精密度好,相对标准偏差<7.4%;抗干扰能力强,检测灵敏度高,水样中最低检测浓度可达0.001mg/L,经实际样品测定完全能满足环境水体中痕量酚类化合物监测的要求。     

固相微萃取-GC/MS法测定水中18种酚类化合物

采用固相微萃取-气相色谱/质谱联用法测定水中18种酚类化合物,优化了溶液pH值、萃取时间、萃取温度、搅拌速率等萃取条件。方法在0.110 mg/L~1.61 mg/L范围内线性良好,18种酚类化合物的检出限为0.001 mg/L~0.015 mg/L(SIM)和0.003 mg/L~0.035 mg/L(SCAN),污水样品加标回收率为88.4%~97.4%。     

顶空毛细管柱气相色谱法测定水中卤代烃的研究

以顶空气相色谱法测定水中四种卤代烃,采用电子捕获检测器(ECD),内标法定量。探讨了色谱柱、热浴温度、平衡时间对测定结果的影响。结果表明,采用DB-624色谱柱,样品热浴温度为80℃,平衡时间为60min时,各卤代烃测定效果好。方法检出限为0.15~0.28μg·L-1,回收率在96.8%~99.3%之间,相对标准偏差在3.78%~5.62%之间。该法具有操作简单,准确度、灵敏度较高的特点,可用于水中卤代烃的测定。     

固相萃取-超高效液相色谱法检测地表水中7种氯酚类化合物

建立了一种能够测定地表水中7种氯酚类化合物的固相萃取-超高效液相色谱方法。调节水样p H=2,经固相萃取柱富集后,用丙酮和二氯甲烷洗脱,浓缩定容后分析。以甲醇-水溶液(含0.2%乙酸)为流动相,柱温为30℃,紫外检测波长为分段检测(285、290、300、304 nm)。结果表明,检测方法对7种氯酚类化合物具有良好的线性相关性,相关系数≥0.999 7。当水样萃取体积为1 L,浓缩至1 m L,进样量为5μL时,方法检出限为12.7~32.1 ng/L,测定下限为50.8~128.4 ng/L;高低两组浓度的平均加标回收率为79.2%~108.4%,相对标准偏差为4.6%~13.3%。     

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。     

电导和直流安培双检测器离子色谱法测定清洁水样中的碘化物

选用配备了2种不同检测器(电导检测器和直流安培检测器)的离子色谱仪对稀释后过0.22μm滤膜的水样进行分析。配备有直流安培检测器的离子色谱仪测定水中碘化物的方法在0.100~20.0μg/L范围内线性关系良好,相关系数(r)=0.9999,方法检出限为0.030μg/L,测定下限为0.120μg/L,样品加标回收率为95.0%~104%,相对标准偏差为1.06%~1.64%;配备有电导检测器的离子色谱仪测定水中碘化物的方法在20.0~2.00×105μg/L范围内线性关系良好,相关系数(r)=0.9995,方法检出限为2.00μg/L,测定下限为8.00μg/L,样品加标回收率为99.0%~110%,相对标准偏差为0.71%~3.12%。离子色谱-直流安培检测器法测定水中碘化物的方法准确度高、灵敏度高、精密度好,检出限相对较低,适用于测定ρ(碘化物)≤20.0μg/L的清洁水样;离子色谱-电导检测器法主要适用于测定ρ(碘化物)≥20.0μg/L的水样。     

离子色谱紫外检测法同时测定水中5种氯酚类化合物

建立了同时测定水中5种氯酚类化合物的离子色谱紫外检测法。水样经0.45μm水相针式滤器过滤后,以250 nm为检测波长,5%的氨水甲醇-1%的硫酸铵溶液(V∶V=80∶20)为流动相进行检测。结果表明,在2-氯酚质量浓度为0.1~1.6 mg/L,其余4种氯酚质量浓度为0.01~0.16 mg/L范围内,线性相关系数均>0.999;2-氯酚和2,4-二氯酚的检出限分别为0.03和0.004 mg/L,其余3种氯酚的检出限为0.003 mg/L。低、中、高3种加标浓度样品的加标回收率为94.1%~100.8%,相对标准偏差(RSD)为2.5%~9.9%。该方法前处理简单,灵敏度、准确度和精密度均较好,适用于基层检测机构对生活饮用水中5种氯酚类化合物的日常快速检测。     

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.