高效液相色谱法测定矿区塌陷区水体中多环芳烃

高效液相色谱法是目前多环芳烃(PAHs)测定最常用技术之一。针对EPA规定的16种优先控制PAHs污染物,采用高效液相色谱法进行矿区塌陷区水体样品的测试。通过紫外-荧光串联使用,紫外检测器变波扫描,荧光检测器波长切换,合理设定流动相梯度洗脱程序等手段优化分析条件,使16个组分在40min内获得良好的分离效果。并分别选取在紫外和荧光检测条件下各组分的最大响应进行定量,使各组分均具有更低的检出限。本方法精密度为0.98%～10.4%,加标回收率达72.4%～112%,可作为各种环境样品中PAHs分析检测的参考。     

南太湖地区湖州市大气PM_(2.5)中多环芳烃的研究——污染现状和人体暴露健康风险评价

运用智能综合大气采样仪采集了南太湖地区湖州市大气PM 10和PM 2.5样品,采用高效液相色谱检测了该样品中16种多环芳烃化合物,通过苯并(a)芘(Ba P)致癌等效浓度、人群终身超额致癌风险和预期寿命损失等指标,评价湖州市大气PM2.5中多环芳烃的人群健康风险。结果表明:全市大气PM 2.5中多环芳烃全年总平均浓度为11.59 ng/m 3,季平均浓度范围在4.775~23.98 ng/m3之间,季节之间呈现一定的变化,冬季秋季春季夏季;全市大气PM 2.5中多环芳烃的苯并(a)芘总致癌等效浓度(TEQ)年均值为1.138 ng/m3,污染所致的成人和儿童的终身超额致癌风险分别为8.7×10-6和6.0×10-6,成人的预期寿命损失为44.5 min。     

上海市大气中非甲烷挥发性有机物的组成及特点

研究了上海不同功能区（工业区、商业区、学院区）大气中ＮＭＶＯＣ的组成特点。各功能区大气中的有机物先用高分子聚合物Ｔｅｎａｘ－ＴＡ在常温下富集，再经ＧＣ－ＭＳ联用仪进行分析。结果表明：上海市大气中的ＮＭＶＯＣ有２８２种；工业区和商业区的ＮＭＶＯＣ主要来自人为源，而学院区的ＮＭＶＯＣ则来自天然源和生活活动。     

抚顺市非甲烷烃的时空分布规律

本文采用分别测定以氮气和空气为底气的同一浓度的甲烷标准气体的响应值,两者之差值即为空气中氧对总烃测定的空白值,代替传统的用除烃净化空气装置制备净化空气测定空白值的方法,并将该法应用于抚顺市非甲烷烃的含量测定,取得较理想结果。同时研究了抚顺市非甲烷烃的时空分布规律。     

Using Multiple Criteria for Fingerprinting Unknown Oil Samples Having Very Similar Chemical Composition

This paper describes a case study in which a multi-criterion approach was used to fingerprinting and identifying mystery oil samples. Three unknown oil samples were received from Quebec on March 28, 2001 for chemical analysis. The main purpose of this analysis was to detemine the nature and the type of the products, detailed hydrocarbon composition of the samples, and whether these samples came from the same source. The samples were analyzed by gas chromatography with a flame ionization detector (GC-FID) and by gas chromatography coupled with mass spectrometry (GC-MS). Hydrocarbon distribution patterns of unknown oils were recognized. Multiple suites of analytes were quantified and compared. A variety of diagnostic ratios of "source-specific marker" compounds for interpreting chemical data were further determined and analyzed. The chemical fingerprinting results reveal the following: (1) These three oils are most likely a hydraulic-fluid type oil. (2) These three oils are very "pure", largely composed of saturated hydrocarbons with the total aromatics being only 4-10% of the TPH. (3) The oils are a mixture of two different hydraulic fluids. There is no clear sign indicating they had been weathered. (4) The PAH concentrations are extremely low (<10 µg/g oil) in the oil samples, while the biomarker concentration are unusually high (4700-5500 µ/g oil). (5) Three major unknown compounds in the oil samples were positively identified. They are antioxidant compounds added to oils. (6) Samples 2996 and 2997 are identical and come from the same source. (7) The sample 2998 has group hydrocarbon compositions (including the GC traces, TPH, and total saturates) very similar to samples 2996 and 2997. But, it is not identical in chemical composition to samples 2996 and 2997, and they do not come from the same source.     

A Strategy and Methodology for Defensibly Correlating Spilled Oil to Source Candidates

The source of crude oils and petroleum products released into navigable waterways and shipping lanes is not always known. Thus, the defensible identification of spilled crude oils and petroleum products and their correlation to suspected sources is a critical part of many oil spill assessments. Quantitative "fingerprinting" analysis, when evaluated using straightforward statistical and numerical analyses, provides a defensible means to differentiate among qualitatively similar oils and provides the best assessment of the source(s) for spilled oils. Polycyclic aromatic hydrocarbon (PAH) and petroleum biomarker concentration data are a particularly useful quantitative measure that can benefit most oil spill investigations. In this paper the strategy and methodology for correlation analysis that relies upon quantitative gas chromatography/mass spectrometry operated in the selected ion monitoring mode (GC/MS-SIM) is demonstrated in a case study involving 66 candidate sources for a heavy fuel oil spill of unknown origin. The strategy includes identification of 19 chemical indices (out of 45 evaluated) based upon PAH's and biomarkers that were (1) independent of weathering; and (2) precisely measured, both of which are determined by statistical analysis of the data. The 19 chemical indices meeting these criteria are subsequently analysed using principal component analysis (PCA), which helps to determine defensibly the "prime suspects" for the oil spill under investigation. The strategy and methodology described, which combines statistical and numerical analysis of quantitative chemical data, can be adapted and applied to other environmental forensic investigations with the objective of correlating any form of contamination to its suspected sources.     

Characterization of Naturally-occurring and Anthropogenic PAHs in Urban Sediments-Wycoff/Eagle Harbor Superfund Site

Polycyclic aromatic hydrocarbons (PAH) are ubiquitous constituents in urban sedimentary environments. The accurate characterization of their source(s) in sediments influences decisions regarding the liability for clean-up and remedial options. In this study, an extensive PAH dataset that included 50 non-alkylated (parent) and alkylated PAH groups and isomers was acquired using a modified EPA Method 8270 for the study of 5 cm intervals from 10 sediment cores (28-78 cm) obtained from the Eagle Harbor Superfund Site on Bainbridge Island, Washington. Conventional hydrocarbon "fingerprinting" and the PAH profiles in the Pb 210 age-dated cores revealed three primary PAH sources to the sediments over the past 220 years, namely (1) naturally occurring background; (2) urban runoff, and (3) creosote, the latter resulting from prior operations at the former Wyckoff wood-processing facility located on the Harbor. Naturally occurring background PAH in the pre-industrial (<1900) sediments were dominated by perylene, 1,7-dimethylphenan-threne (derived from the oxidation of abietic acid resins), and pyrogenic PAH most likely derived from historic forest fires. The concentration of PAH total in these pre-industrial sediments was consistently less than 1 mg/kg (dry). Urban runoff in the post-industrial (>1930) sediments was dominated by low but consistent concentrations (10-20 mg/kg dry) of pyrogenic PAM derived primarily from the combustion of fossil fuel(s). The creosote-impacted sediments in the post-industrialized sediments contained high concentrations (1000-140,000 mg/kg dry) of pyrogenic PAH associated with distilled, coal-derived liquids.     

Vertical distributions of non-methane hydrocarbons and halocarbons in the lower troposphere over northeast China

Vertical distributions of air pollutants are crucial for understanding the key processes of atmospheric transport and for evaluating chemical transport models. In this paper, we present measurements of non-methane hydrocarbons (NMHCs) and halocarbons obtained from an intensive aircraft study over northeast (NE) China in summer 2007. Most compounds exhibited a typical negative profile of decreasing mixing ratios with increasing altitude, although the gradients differed with different species. Three regional plumes with enhanced VOC mixing ratios were discerned and characterized. An aged plume transported from the northern part of the densely populated North China Plain (NCP; i.e. Beijing–Tianjin area) showed relatively higher levels of HCFC-22, 1,2-dichloroethane (1,2-DCE) and toluene. In comparison, the plume originating from Korea had higher abundances of CFC-12, tetrachloroethene (C₂Cl₄) and methyl chloride (CH₃Cl), while regional air masses from NE China contained more abundant light alkanes. By comparing these results with the earlier PEM-West B (1994) and TRACE-P (2001) aircraft measurements, continuing declining trends were derived for methyl chloroform (CH₃CCl₃), tetrachloromethane (CCl₄) and C₂Cl₄ over the greater China–northwestern Pacific region, indicating the accomplishment of China in reducing these compounds under the Montreal protocol. However, the study also provided evidence for the continuing emissions of several halocarbons in China in 2007, such as CFCs (mainly from materials in stock) and HCFCs.     

受氯代烃类污染的地下水环境修复研究进展

越来越多的地下水源正遭受氯代烃类有机物的污染,氯代烃类的地下环境行为及其污染环境的修复技术是当前环境学界的一个热点。目前修复这类污染环境的技术主要有抽出处理、渗透性反应墙和生物修复等。其中研究最多、应用最广的是利用表面活性剂强化抽出处理技术、零价铁降解氯代烃类的渗透性反应墙技术以及原位强化生物修复技术。零价铁反应墙如何长期稳定运行是目前的研究难题,也是该技术的发展目标。强化生物修复是具有巨大发展潜力的一项新兴技术,构建一个能同时降解多组分污染物的微生物生态群落并成功引入污染场地发挥最大功效,是地下水环境生物修复技术研究中的难点,也将是热点。     

How does the brown mussel Perna perna respond to environmental pollution? A review on pollution biomarkers

The brown mussel Perna perna (Linnaeus, 1758) is a valuable resource for aquaculture in tropical and subtropical coastal regions. It presents desirable characteristics for biomonitoring, including being sessile, widely distributed and abundant, and is a filter-feeder able to accumulate several classes of pollutants (e.g., metals, hydrocarbons, among others). Mussels’ biological responses to pollution exposure can be measured as biomarkers, which include alterations ranging from molecular to physiological levels, to estimate the degree of environmental contamination and its effects on biota. This full review compiles two decades (2000–2020) of literature concerning biological effects on P. perna mussel caused by environmental pollutants (i.e., metals, hydrocarbons, and emerging pollutants), considering environmental and farm-based biomonitoring. Biochemical markers related to mussels’ oxidative status were efficient for the biomonitoring of metals (i.e., antioxidant enzymes associated with oxidative damage in biomolecules). Genotoxicity and cytotoxicity indicators (i.e., comet, micronucleus, and neutral red assays) provided a depiction of hydrocarbon contamination. The neutral red assay gave a time-concentration cytotoxic response to a wide range of pollutants, including emerging pollutants (e.g., pharmaceuticals and biocides) and hydrocarbons. Perna perna hemocyte parameters provided a useful approach for biocide biomonitoring. This paper summarizes useful biomarkers from molecular to physiological levels in this mussel species used to identify and quantify the degree of coastal pollution. An integrated biomarker analysis may provide a way to overcome possible biomarker variations and assess multi-polluted sites. Nevertheless, it is necessary to investigate biomarker variations according to natural factors (e.g., season and gonad maturation stage) to standardize them for trustworthy biomonitoring.