活性炭固定床吸附分离溶液中表面活性剂和多环芳烃

利用活性炭固定床吸附分离表面活性剂和多环芳烃(PAH)的混合溶液,选取了具代表性的表面活性剂(TX100)和PAH(菲(PHE)等)。实验结果表明,流量越低、活性炭填充量越多、表面活性剂浓度越高、PAH浓度越低,越有利于表面活性剂的回收和PAH的去除。定义了有效回收时间,该时间是指PAH穿透10%的时间与表面活性剂穿透90%的时间之差,该时间越长,越有利于表面活性剂的回收。采用BDST和Thomas模型对TX100和PHE进行了吸附模拟,效果均较好;BDST模型拟合结果表明,当活性炭对TX100的吸附接近饱和时仍对PHE有较强的吸附能力。活性炭固定床吸附分离法可节约运行成本0.06元/L。     

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。     

大气粉尘中常见多环芳烃类化合物的提取及含量测定

采用便携式PM2.5采样器和玻璃纤维滤膜对大气粉尘进行采样,以加压液体萃取、超声波辅助提取和微波辅助提取3种方法对多环芳烃类化合物进行提取,以超高效液相色谱和质谱联用方法进行测定。共检测出16种多环芳烃类化合物,分别为:萘、苊、苊烯、芴、菲、蒽、荧蒽、芘、苯并[a]蒽、■、苯并[b]荧蒽、苯并[k]荧蒽、苯并[a]芘、二苯并[a,h]蒽、茚并[1,2,3-c,d]芘和苯并[g,h,i]苝。3种提取方法均可有效提取大气粉尘中的多环芳烃类化合物,加压液体萃取法的提取效率最高、超声波辅助提取法次之、微波辅助提取法最低。超高效液相色谱和质谱连用方法可有效地分析大气粉尘中的多环芳烃类化合物,线性方程的相关系数不低于0.998 3,测定值的相对标准偏差不超过0.80%,检出限不高于0.27 ng/g。     

高压液相色谱法测定水中多环芳烃

本文讨论了用Seppak-C_(18)小柱(Waters.Co.)对水中痕量多环芳烃进行富集、洗脱的最佳实验条件,确定了用Zorbaxods柱分离PAH的色谱操作条件。应用紫外(250nm)和荧光(Ex/Em=295nm/427nm)检测器串联的检测系统,大大提高了PAH的检测下限。该方法用于实际水样的测定,其实验结果与用环巴烷萃取法测定结果基本相符。     

燃煤电厂锅炉烟道气中多环芳烃的测定

介绍采用过滤、冷凝、吸附剂吸附三级串联的采样装置采集锅炉烟道气中多环芳烃和用超声提取、浓缩器浓缩、高压液相色谱分离、紫外-萤光检测器串联检测的实验方法。此法简单易行，适合于现场应用。     

燃煤烟气中多环芳烃的富集技术

介绍了燃煤电厂烟气中排放的多环芳烃污染物的富集方法,比较了各种富集技术的特点与使用情况,分析了多环芳烃富集过程中的质量控制与质量保证措施,并探讨了富集采样中的若干注意事项.     

火电厂排烟中颗粒物及多环芳烃的研究

对某火电厂电除尘器前后烟气中颗粒物的形貌、粒径分布及多环芳烃(PAHs)在颗粒物、烟气气相及原煤中的含量进行了研究.结果表明,颗粒物主要呈圆球形,主要成分为Al2O3和SiO2,除尘器前颗粒粒径主要分布在5～10 μm之间,其后以5 μm以下为主;电除尘器对大颗粒有较好的收尘效果,而对小于5 μm颗粒的收尘效果较差;低环PAHs在气相中的含量均高于颗粒物中的含量;电除尘器对PAHs的平均脱除率能达到89.74%,对4环和6环PAHs的脱除率高于90%.     

过硫酸钠-过氧化钙修复多环芳烃污染土壤

采用过硫酸钠-过氧化钙双氧化体系修复多环芳烃(PAHs)污染土壤.通过单因素实验考察了过硫酸钠浓度、过氧化钙质量分数和n(柠檬酸):n(硫酸亚铁)等对土壤中PAHs降解率的影响.通过响应面分析确定,在过氧化钙质量分数为2.7％、过硫酸钠浓度为0.62 mol/L、n(柠檬酸):n(硫酸亚铁)=1:1时,PAHs降解率最...     

多环芳烃污染土壤的微生物修复技术

对生物修复技术中的微生物进行了分类,并阐述了微生物生物降解土壤中多环芳烃（PAHs）的基本原理。在此基础上,分析了国内外微生物生物修复技术的发展概况,采用图示法重点综述了原位处理技术和非原位处理技术的工艺流程,并列举了相应的工程应用实例。     

淮南市燃煤电厂粉煤灰中多环芳烃的研究现状分析

以淮南市粉煤灰为研究对象,分析了影响粉煤灰中多环芳烃(PAHs)含量的因素、PAHs样品的纯化及测定技术,为进一步的研究打下基础.     

Sedimentary Record of Polycyclic Aromatic Hydrocarbons in the Gulf of Trieste (Northern Adriatic Sea)

To reconstruct a history of polycyclic aromatic hydrocarbon (PAH) pollution in the Gulf of Trieste, one of the largest urbanized areas in the Adriatic Sea, we analyzed three long sediment cores collected between 1996 and 1997. Concentrations of total PAHs, the sum of 16 PAH compounds and six of their methylated analogues, in all three cores show a decrease from 600–800 ng g⁻¹, at the surface, to levels below 250 ng g⁻¹ in deepest layers (down to 3 m). The same trend was shown with separate representative pyrogenic PAHs (pyrene, benzofluoranthene and phenanthrene). Using Hg as a recent geochronological tracer, we observe an increasing input of PAHs since the beginning of the 20th Century and, especially, after the Second World War coinciding with increasing industrialization and urbanization of the region. This correlation is supported by PAH ratios that are indication of combustion processes and represent a marker for anthropogenic inputs. No correlation exists between PAHs and black carbon within the core profiles, indicating two different fractions of the ‘black carbon continuum’.     

Spatial and Temporal Comparison of Polycyclic Aromatic Hydrocarbons and Spheroidal Carbonaceous Particles in Remote European Lakes

Spheroidal carbonaceous particles (SCP) and polycyclicaromatic hydrocarbons (PAH) have been measured in the dated sediment cores of 10 remote lakes distributed across Europe. The geographic trends were evaluated by examination of the superficial sediment fluxes and total sediment inventories. The highest levels of both markers were observed in the Eastern European lakes whereas the minimal values corresponded to the lake located in the Arctic. However, this SCP-PAH correlation was not observed after exclusion of the end member lakes from the series. The temporal trends of both pollutant markers are consistent with the history of pyrolytic emissions over Europe. However, the downcore SCP distributions are shorter than the PAH profiles in nearly all lakes. The differences are probably related to the different size particle fractions involved in the measurement of each marker, >5 and >1 m for SCP and PAH, respectively. Thus, the two proxies probably reflect pollution inputs from closer (SCP) and more distant sites (PAH).     

萘降解菌的筛选及其对多环芳烃的降解

从柴油污染土壤中筛选分离出一株萘降解菌N-3,进行了菌种鉴定及萘双加氧酶基因(nah)验证,并考察了该菌对不同种类多环芳烃(PAHs)的降解能力及降解过程中脱氢酶活性的变化。实验结果表明:该菌为铜绿假单胞菌(Pseudomonas aeruginosa),含有nah基因;当分别对液体培养基中质量浓度为50 mg/L的萘、菲、蒽、芘、芴降解84 h时,菌株N-3对萘、菲、蒽、芘、芴的降解率分别为28.81%,34.83%,36.65%,27.50%,23.47%。菌株N-3的脱氢酶活性与其对不同PAHs的降解率呈一定的正相关性。该菌不仅能有效降解萘,且对其他种类PAHs也有一定降解作用。     

用四-(对氨基苯基)-卟啉柱前衍生的高效液相色谱法测定重金属

研究了用固相萃取富集、快速分离柱高效液相色谱法测定环境水样中镍、锡、铅、镉、汞5种重金属的方法。环境水样中的镍、锡、铅、镉、汞用四-(对氨基苯基)-卟啉(T4APP)柱前衍生,然后用ZORBAX RP18固相萃取小柱萃取富集镍、锡、铅、镉、汞的T4APP络合物,经富集后的络合物用甲醇-丙酮(体积比95∶5)为流动相,ZORBAX Stab le Bound(4.6 mm×50 mm,1.8μm)快速分离柱为固定相分离,用二极管矩阵检测器检测。镍、锡、铅、镉、汞的检测限分别为4,5,4,3,3 ng/L,分离5种重金属元素络合物的时间只需2.0 m in,相对标准偏差为2.2%~4.1%,加标回收率为88%~104%。用该法测定环境水样中的痕量镍、锡、铅、镉、汞,结果令人满意。     

Oil/Suspended Particulate Material Interactions and Sedimentation

The interactions of physically dispersed oil droplets with suspended particulate material (SPM) can be important for the transport of bulk quantities of spilled crude oil and polycyclic aromatic hydrocarbons (PAH) to subtidal sediments. The literature regarding oil/SPM interactions is reviewed, and results from whole-oil droplet/SPM interaction kinetics and pure-component (Prudhoe Bay crude oil distillate cut) equilibrium partitioning experiments are presented. The effects of oil type, SPM characteristics, and salinity on the interaction rates are examined, and the importance of whole-oil droplet/SPM interactions on particle agglomeration and settling behavior are discussed. Whole-oil droplet/SPM interactions are retarded as oil droplet dispersion into the water column is inhibited by oil viscosity increases due to evaporation weathering and water-in-oil emulsification. Compared to whole oil droplet/SPM interactions, dissolved-component/SPM adsorption is not as significant for transport of individual components to sediments. The information presented in this paper can be used to augment computer-based models designed to predict oil-spill trajectories, oil-weathering behavior, and spilled oil impacts to the marine environment.