冶炼企业周边农田土壤的多环芳烃污染及其细菌群落效应

多环芳烃是一类持久性有机污染物,进入土壤后可能产生多方面生态效应。为研究多环芳烃对土壤微生物的影响,选取南京某冶炼企业周边农田样品,在分析污染物含量基础上,采用高通量测序、定量PCR等方法综合评价了土壤细菌多样性和组成以及多环芳烃降解细菌丰度等特征。17个土壤样品中,多环芳烃总量为0.25~31.08 mg·kg-1,并具有随污染源距离增加而降低的空间分布特征。与土壤理化性质如p H相比较,多环芳烃污染对土壤细菌的总体多样性和群落组成影响不显著。进一步分析发现多环芳烃与潜在降解微生物的相对丰度和降解功能基因(芳香环羟基化双加氧酶,PAH-RHDα)拷贝数显著正相关。污染较重样品的克隆、测序分析表明,土壤中PAH-RHDα基因主要属于革兰氏阳性细菌nid A3/fad A1类群,且与分支杆菌相关序列较为接近。这些结果综合评价了冶炼企业周边农田土壤多环芳烃污染对微生物群落的影响,提示土壤污染在多环芳烃潜在降解细菌中的富集作用,将为后续污染土壤生物修复提供重要科学依据。     

小麦根系菲与磷吸收及转运的相互作用

作物根系对多环芳烃(PAHs)与磷吸收及转运之间的相互作用研究对农产品的安全生产和PAHs污染环境植物修复的强化具有重要意义。为此,本文以菲为PAHs的代表,采用水培试验研究了不同磷、菲水平下小麦根系菲、磷吸收及其转运的效果,旨在揭示植物根系吸收PAHs与磷素的相互作用。结果表明,在0~1 200μmol·L~(-1)磷浓度范围内,小麦根系、茎叶菲含量在低磷浓度(10μmol·L~(-1))时最高,分别为36.87 mg·kg~(-1)和2.07 mg·kg~(-1);磷含量总体呈现随磷处理浓度的升高而增大的趋势;成对数据t-检验显示无论加菲与否,根系、茎叶磷含量无显著性差异(P0.05)。磷可促进菲从根部向地上部转运,而菲对磷转运没有显著性影响。在低磷浓度下(10μmol·L~(-1)),随着菲浓度的升高,小麦根系、茎叶菲含量呈现显著升高趋势(P0.05)。磷、菲共存处理介质pH升高幅度大于单一处理。     

Biologic risk and source diagnose of 16 PAHs from Haihe River Basin,China

Surface sediments of rivers can exhibit spatial and temporal variations in contaminant concentrations that may significantly affect risk evaluations. As to pollution control and remediation of watershed, large-scale and further background data on PAHs in China were required urgently. Spatial distribution and compositional characteristics of 16 polycyclic aromatic hydrocarbons (PAHs) in surface sediments from Haihe River Basin were investigated. A method based on effects range (ER) was used to assess ecosystem risk of ∑PAHs (the total of 16 PAH) sensitively and accurately. The results indicated that ∑PAHs content levels ranged from 257 to 16901 μg·kg⁻¹ dry weight. The lower rings predominated in the samples, and 2-, 3-, 4-, 5- and 6-ring PAHs accounted for 12%, 21%, 30%, 30%, and 7% respectively in total PAHs. The ratio of Fl / (Fl+ Py) uniformly distributed in the interval 0.20–0.80, indicating that it may be affected by petroleum origin, oil combustion, biomass and coal combustion jointly. ∑PAHs in Cetian (S6), Dongwushi (S19), Handan (S20), Aixinzhuang (S21) and Tianjin (S37) exceeded effects range low (ERL), in which biologic effects were in a medium level with an adverse effect on biologic organisms. Thus, it is necessary to strengthen the PAHs monitoring and research of the Haihe River Basin.     

焦化厂土壤和地下水中PAHs分布特征及其污染过程

以煤炭为原料的焦化厂是环境中PAHs的主要人为污染源. 针对US EPA(美国国家环境保护局)优先控制的16种PAHs,对苏南某生产历史长达16 a、面积为44.58×104 m2的焦化厂土壤样品中的w(PAHs)以及地下水样品中的ρ(PAHs)进行了分析,并采用统计学方法对PAHs的分布规律进行了研究. 结果表明:表层土壤中除二苯并[a,h]蒽外,其他15种PAHs均被检出;w(2~3环PAHs)平均值占w(∑PAHs)平均值的92.6%,明显高于w(4~6环PAHs). 地下水中只检出强亲水性的萘、二氢苊、苊、芴、菲、蒽等6种低环PAHs,但未迁移至厂外. 厂区内土壤和地下水中PAHs污染均具有典型的区域分布特征,并且均为化厂车间最严重. 土壤防污性能的差异使PAHs在3.0 m黏土层〔K_y(垂向渗透系数)=1.28×10-8 cm/s〕中富集. 高环PAHs主要与有机质结合以固相迁移,因w(TOC)随深度增加而下降,部分高w(高环PAHs)点位土壤有机质吸附过饱和,未被吸附的高环PAHs向深层迁移至5.0 m含水层顶板,但因强疏水性未进入7.0 m含水层. 强亲水性低环PAHs以溶解态迁移进入含水层,但因地下水流动缓慢(流速为3.71×10-6 cm/s),PAHs污染区仅集中在化厂车间及其附近区域.      

活性炭对非离子型表面活性剂中菲的吸附效能

为研究表面活性物质与疏水有机物的分离效能,以TX100(曲拉通100)为代表性的非离子型表面活性剂,以PHE(菲)为代表性的多环芳烃,使用活性炭对二者共存体系进行静态吸附和固定床吸附. 静态吸附结果表明,活性炭对TX100和PHE的吸附均满足Langmuir等温吸附模型和准二阶动力学模型,吸附量分别为437.31和58.86 mg/g. 固定床吸附时,对应于14.7 cm的活性炭柱高,PHE穿透10%和TX100穿透90%的时间分别是420和270 min,从BDST(bed depth service time)模型中可以得到TX100传质区长度小于PHE,这为二者分离提供了条件. 通过活性炭固定床吸附可以在回收90%TX100的同时去除90%PHE,说明吸附法是一种回收表面活性剂的有效方法. 利用微波法再生活性炭,可使购置活性炭的成本降低4/5,进一步提高了回收法的经济性和可行性. 研究表明,活性炭吸附是一种可用于土壤洗涤工艺中回收表面活性剂的有效方法.      

Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems

Polycyclic aromatic hydrocarbons （PAHs） are complex organic compounds which are identified as significant carcinogenic to human health. PAHs （mainly in particle phase） are susceptible to atmospheric oxidant gases, especially ozone, nitrogen oxides （NOx）, hydroxyl radical （OH）, and could be degraded on filters during sampling process, leading to an underestimation of ambient PAH concentrations. The goal of this work was to investigate particle associated PAHs sampling artifacts caused by ozone in summer of Beijing. Comparative sampling systems were operated simultaneously during the whole campaign, one with activated carbon ozone denuder, the other being set as conventional sampling system. Activated carbon denuder was testified to be highly efficient to eliminate ozone from air stream. In general, nine particle-bound PAHs observed from conventional sampler were all lower than those from ozone denuder system. The total PAHs （particle phase） concentration was averagely underestimated by 35.9% in conventional sampling procedure. Benzo[a]pyrene （BaP） had the highest percentage of mass loss. founded to have influences Ambient temperature was on PAHs sampling artifacts. High temperature can increase loss of particle associated PAHs during sampling.     

Ecological selection of bacterial taxa with larger genome sizes in response to polycyclic aromatic hydrocarbons stress

Polycyclic aromatic hydrocarbons(PAHs) are ubiquitous priority pollutants that cause great damage to the natural environment and health. Average genome size in a community is critical for shedding light on microbiome’s functional response to pollution stress within an environment. Here, microcosms under different concentrations were performed to evaluate the selection of PAHs stress on the average genome size in a community. We found the distinct communities of significantly larger genome size w...     

深圳市大气中多环芳烃的污染特征与来源识别

利用大流量主动采样器于2009年12月~2010年1月及2010年6月,分冬季与夏季两批次对深圳市13个点位进行大气样品采集,检测其气相及颗粒相中总的多环芳烃(PAHs)浓度.结果表明,冬季深圳市大气中总PAHs的浓度为17.9~92.3ng/m3,平均值为45.3ng/m3;夏季总PAHs浓度范围为8.64~96.3ng/m3,平均值为32.2ng/m3.两个季节PAHs单体中均以3~4环为主,占总浓度的75%以上;单个组分与总量的相关性分析表明,夏季明显优于冬季.来源分析表明,冬季大气中PAHs来源比夏季更为复杂,通过特征分子比值法推断冬季PAHs主要来源于石油源、燃煤、机动车尾气排放;夏季主要来源于机动车尾气排放.利用毒性当量因子法和致癌风险评价其污染水平和毒性风险,结果表明深圳市大气中PAHs污染与国内部分城市相比,处于较低水平.     

长江武汉段沉积物再悬浮过程中PAHs释放的预测模型

为研究长江武汉段沉积物再悬浮过程中多环芳烃的释放,采用回归方法建立了剪应力与再悬浮颗粒物浓度、有机碳含量及PAHs浓度之间的定量关系模型,并结合PAHs在悬浮颗粒物-水体分配系数,建立了不同剪应力条件下再悬浮过程中上覆水体PAHs浓度预测模型,通过模型预测结果与实验结果的比较,表明模型具有良好的预测效果,可用来进行不同剪应力条件下沉积物再悬浮过程PAHs释放的预测.     

Polycyclic aromatic hydrocarbons in medicinal plants from Syria

The levels of 16 US Environmental Protection Agency polycyclic aromatic hydrocarbons (EPA PAHs) in 10 medicinal plants in different used parts of plant (leaves and flowers) have been determined. The analytical method consists of sample preparation by ultrasonic extraction with dichloromethane followed by silica gel clean-up. Subsequently, the analysis was carried out by reversed-phase high-performance liquid chromatography (HPLC) coupled to both ultraviolet and fluorescence detections in series to insure the detection of all 16 EPA PAHs. It was observed that the sum of the 16 PAHs (ΣPAHs) in the investigated medicinal plants ranged from 47 to 890 μg kg^–1 where the highest ΣPAHs was found in Sage plant sample. Light PAHs were dominants in all studied medicinal plants. The sum of eight genotoxic PAHs (ΣPAH8) have shown a better indicator of the degree of contamination with carcinogenic PAHs compared to benzo[a]pyrene in these products.