Distribution of Polycyclic Aromatic Hydrocarbons (PAHs) and phenolic endocrine disrupting chemicals in South and Southeast Asian mussels

A comprehensive monitoring survey for polycyclic aromatic hydrocarbons (PAHs) and phenolic endocrine disrupting chemicals (EDCs) utilizing mussels as sentinel organisms was conducted in South and Southeast Asia as a part of the Asian Mussel Watch project. Green mussel (Perna viridis) samples collected from a total of 48 locations in India, Indonesia, Singapore, Malaysia, Thailand, Cambodia, Vietnam, and the Philippines during 1994–1999 were analyzed for PAHs, EDCs including nonylphenol (NP), octylphenol (OP) and bisphenol A (BPA), and linear alkylbenzenes (LABs) as molecular markers for sewage. Concentrations of NP ranged from 18 to 643 ng/g-dry tissue. The highest levels of NP in Malaysia, Singapore, the Philippines, and Indonesia were comparable to those observed in Tokyo Bay. Elevated concentrations of EDCs were not observed in Vietnam and Cambodia, probably due to the lower extent of industrialization in these regions. No consistent relationship between concentrations of phenolic EDCs and LABs were found, suggesting that sewage is not a major source of EDCs. Concentrations of PAHs ranged from 11 to 1,133 ng/g-dry, which were categorized as “low to moderate” levels of pollution. The ratio of methylphenanthrenes to phenanthrene (MP/P ratio) was >1.0 in 20 out of 25 locations, indicating extensive input of petrogenic PAHs. This study provides a bench-mark for data on the distribution of anthropogenic contaminants in this region, which is essential in evaluating temporal and spatial variation and effect of future regulatory measures.     

Wood-Specific Polycyclic Aromatic Hydrocarbon (PAH) Patterns in Soot Using Gas Chromatography-Atmospheric Pressure Laser Ionization-Mass Spectrometry (GC-APLI-MS)

If organic matter is burnt, the combustion of wood produces the highest amounts of polycyclic aromatic hydrocarbons (PAHs) compared with other fossil energy sources such as oil, coal, or gas. Emissions from wood combustion are increasingly of special interest due to the rising use of wood as a renewable energy source in residential heating in Europe. To the authors' knowledge, reproducible wood-specific PAH patterns in soot were identified for the first time by use of a sampling interval of only 5 min in this study. The short sampling interval was enabled by the very sensitive analytical method of gas chromatography–atmospheric pressure laser ionization–mass spectrometry (GC-APLI-MS) applied. The analysis of 40 PAH of soot from wood logs of spruce, pine, larch (softwood) and beech, birch, oak (hardwood), and wood pellets, as well as wood briquettes, showed 13.46–250.62 mg/kg for ∑40 PAH and 10.75–177.94 mg/kg for the U.S. Environmental Protection Agency PAH standard (without acenaphthylene and anthracene). Highest concentrations occurred in the samples from birch with bark, beech, and wood briquettes. Indeno[1,2,3-cd]pyrene, naphthalene, and alkylated naphthalenes were also detected. Significant concentrations of the very toxic dibenzopyrenes (up to 11.30 mg/kg) are reported. Softwood soot contained highest amounts of 2–4-ring PAH, followed by hardwood which is in accordance with the presence of highest amounts of abietic acid in softwood, a known precursor of retene and phenanthrene. PAH in soot from five spruce samples from different locations show a mean ∑40 PAH concentration of 13.46 mg/kg (n = 5, minimum 8.03, maximum 23.32 mg/kg, SD = 5.65) and exhibited a typical pattern that differed from all other wood soot samples. The distributions of alkylated naphthalenes of the spruce samples show a bell-shape distribution in contrast to the alkylated phenanthrenes/anthracenes of all samples (except the wood pellets), showing a slope distribution. The data indicate that wood-specific PAH patterns exist and under the applied conditions, spruce logs produced the least toxic soot.     

Risk Assessment of 26 Polycyclic Aromatic Hydrocarbon (PAH) Compounds in Parkıng Garages

The aim of this study was to determine the level of 26 polycyclic aromatic hydrocarbons (PAHs) at parking garages and to provide the necessary annual information based on occupational inhalation exposure and non-occupational inhalation exposure, which carry risks for the environment. For this purpose, 22 samples were collected continuously from both gas and particulates phase PAHs from two parking garages at Konya City Center, Turkey. The exposure-based risk of these samples was evaluated using concentrations of the carcinogenic PAH compounds. None of the 26 PAHs measured had values exceeding the recommended exposure limits (RELs) standard values for inhalation rate recommended by the World Health Organization (WHO). Exposure levels of gas and particulate PAHs for the occupational group and the public (children and adults who spend time in shopping centers) were found to be 0.07–28.24 μgm^?3 and 0.05–5.753 μgm^?3, respectively, representing levels two to four times higher than those at the control site. Maximum daily inhalation of B[a]Py was estimated at 1.33 ngd^?1 for exposure of the public and as 274 ngd^?1 for the occupational group. It is believed that traffic makes a substantial contribution to the PAH profile, which had relatively high concentrations of naphthalene (Napth) and coronene (Coro). Highly carcinogenic dibenzo(a,l)pyrene (B[al]Pyre) was found in the ambient air at two parking garages. Napth and phenanthrene (Phen) were the main compounds found in nearly all the tested samples. In this study, benzo[e]pyrene (B[e]Py) was used as a reference for PAHs because its concentration is stable and does not change seasonally. Considering the importance of these compounds in relation to human health, the aim of this work was to characterize and quantify the more toxic PAHs in parking garages. Conducting PAH sampling and their chemical analysis is very costly and labor intensive. This study produced data that can be a powerful tool for environmental forensics.     

表面活性剂在多环芳烃污染土壤修复中的应用

介绍了单一表面活性剂（非离子表面活性剂、生物表面活性剂）、阴-非离子混合表面活性剂对多环芳烃的增溶作用、增溶机理及无机离子对表面活性剂增溶能力的影响,综述了化学表面活性剂和生物表面活性剂在污染土壤生物修复中的应用。由于生物表面活性剂具有许多独特的优点,今后应加强生物表面活性剂的开发与应用研究。     

废弃物燃烧生成的可吸入颗粒物中多环芳烃的排放特性

将木粉、谷壳、甘蔗渣、垃圾衍生燃料(RDF)四种废弃物在两种过量空气系数下进行燃烧,采集其烟气中的可吸入颗粒物(PM10)样品并分析,获得了颗粒物中多环芳烃的质量分数和排放特性,并对不同环数的芳烃进行了比较,最后分析了不同样品中的多环芳烃的毒性参数.     

蒽降解菌与铜绿假单胞菌融合子的特性研究

将蒽降解菌An815和绿色荧光蛋白标记铜绿假单胞菌(Pseudomonas aeruginosa/EGFP)P原生质体融合,得到了既能高效降解蒽,又能产生生物表面活性剂的融合子F。研究了它的形态特征、生理生化特性、产表面活性剂的能力、对蒽的降解性能及生长繁殖情况。结果表明,融合子菌落和菌体形态,产脓青素,荧光色素的特性类似于铜绿假单胞菌亲本,但其大多生理生化特性酷似An815亲本而不同于铜绿假单胞菌亲本;融合子有较好产表面活性剂的能力,72 h内将表面张力由70.2 mN/m降至36.5mN/m;在蒽的反应体系中,32h内融合子和亲本An815对蒽的降解转化率分别为86.7%,59.4%,融合子对蒽的降解速率比An815提高了27.3%;在蒽的反应体系中融合子和亲本生长曲线相似。     

太湖流域典型城镇水环境芳香胺类污染特征

利用固相萃取-气相色谱/串联质谱法(SPE-GC-MS/MS),对太湖流域上游城镇常州武南地区的地表水体和典型排放源中的4种芳香胺类污染物(AAs)进行连续2年监测,综合分析了2018～2019年间AAs的污染及浓度特征.结果表明,武南地区河网中目标AAs的总浓度范围为相似文献   

岩溶环境对多环芳烃迁移转化的影响

从水文地质条件、地貌环境和地球化学环境等3个方面,综述了岩溶环境对多环芳烃(PAHs)迁移转化的影响。针对研究现状及存在的不足,提出了未来可能的研究趋势,包括不同气候条件下发育的岩溶系统的对比研究、不同气候条件和不同岩溶系统快速流和慢速流对PAHs迁移的贡献、碳酸盐岩与PAHs相互作用的机理,以及有机质对PAHs迁移行为的影响。     

Characterisation of PM10, PM2.5 and Benzene Soluble Organic Fraction of Particulate Matter in an Urban Area of Kolkata, India

In this study, the relationship between inhalable particulate (PM₁₀), fine particulate (PM_2.5), coarse particles (PM_{2.5 – 10}) and meteorological parameters such as temperature, relative humidity, solar radiation, wind speed were statistically analyzed and modelled for urban area of Kolkata during winter months of 2003–2004. Ambient air quality was monitored with a sampling frequency of twenty-four hours at three monitoring sites located near traffic intersections and in an industrial area. The monitoring sites were located 3–5 m above ground near highly trafficked and congested areas. The 24 h average PM₁₀ and PM_2.5 samples were collected using Thermo-Andersen high volume samplers and exposed filter papers were extracted and analysed for benzene soluble organic fraction. The ratios between PM_2.5 and PM₁₀ were found to be in the range of 0.6 to 0.92 and the highest ratio was found in the most polluted urban site. Statistical analysis has shown a strong positive correlation between PM₁₀ and PM_2.5 and inverse correlation was observed between particulate matter (PM₁₀ and PM_2.5) and wind speed. Statistical analysis of air quality data shows that PM₁₀ and PM_2.5 are showing poor correlation with temperature, relative humidity and solar radiation. Regression equations for PM₁₀ and PM_2.5 and meteorological parameters were developed. The organic fraction of particulate matter soluble in benzene is an indication of poly aromatic hydrocarbon (PAH) concentration present in particulate matter. The relationship between the benzene soluble organic fraction (BSOF) of inhalable particulate (PM₁₀) and fine particulate (PM_2.5) were analysed for urban area of Kolkata. Significant positive correlation was observed between benzene soluble organic fraction of PM₁₀ (BSM10) and benzene soluble organic fraction of PM_2.5 (BSM2.5). Regression equations for BSM10 and BSM2.5 were developed.     

气相色谱-串联质谱法测定沉积物中多环芳烃

采用ASE法提取沉积物中16种多环芳烃,以固相萃取法净化提取液,用气相色谱-串联质谱法测定。通过优化测定条件,使方法在5.00μg/L~1 600μg/L范围内线性良好,方法检出限为0.15μg/kg~0.66μg/kg。空白石英砂的加标回收率为61.9%~121%,7次测定结果的RSD为2.6%~11.1%。