胎盘内多环芳烃分布及源解析研究

探讨多环芳烃在胎盘中的分布,并对其进行源解析。从2012年6月—2013年6月在云南省第一人民医院产科分娩的产妇中随机抽取30例,利用气相色谱-质谱联用仪(GC-MS)检测其胎盘中多环芳烃的含量;比较胎盘的中央部分和边缘部分多环芳烃含量的差异;对多环芳烃进行源解析,探讨其主要来源。胎盘中检测到多种多环芳烃成分;其中2~4个苯环的多环芳烃占总量的90%以上,尤其是萘、苊、芴、菲、蒽、芘、荧蒽的含量较高;萘、苊烯、苊、茚并(1,2,3-c,d)芘、二苯并(a,h)蒽5种多环芳烃在胎盘中央的含量高于边缘,具有显著性差异(P0.05),其他多环芳烃在胎盘中央和边缘的含量无显著性差异(P0.05)。多环芳烃源解析提示80%研究对象体内的多环芳烃主要来自石油产品的燃烧或暴露于石油产品。     

太湖梅梁湾沉积物中多环芳烃的生态和健康风险

持久性有机物引起的水质安全性问题日益受到广泛的关注.利用生态和健康风险评价的原理和方法,对太湖梅梁湾水源地沉积物中的多环芳烃可能导致的负面效应进行了分析.首先采用商值法筛选出该地区沉积物中具有潜在风险的多环芳烃,再进一步用建立在暴露浓度分布和物种敏感度分布上的概率法定量表征风险.结果表明,太湖梅梁湾水源地沉积物的多环芳烃中,菲、荧蒽、芘、苯并[a]蒽、屈、苯并[a]芘、二苯并[a,h]蒽7种具有潜在风险;在保护95%的物种水平下,菲的风险最小,而荧蒽和芘风险较高,达20%.健康风险分析表明,美国EPA提出的7种具有遗传毒性的多环芳烃其致癌风险在梅梁湾沉积物中均在10-5水平以下.     

淮河流域安徽段水系沉积物中多环芳烃的污染性状研究

应用气相色谱质谱联用仪测定淮河流域安徽段水系沉积物样品中萘、二氢苊、苊、芴、菲、蒽、荧蒽、芘、苯并[a]蒽、、苯并[a]芘和二苯并[a,h]蒽等12种多环芳烃的质量分数,并在此基础上分析沉积物中多环芳烃的区域分布、污染特征和来源。结果表明：研究区水系沉积物中多环芳烃有一定程度的富集,但与国内其他河流相比,样品中多环芳烃的质量分数不高;淮河南北岸支流沉积物中多环芳烃的含量差异比较明显,尤其是东淝河,含量明显低于淮北平原上的其它河流;淮河主干道和北岸支流沉积物中4环以上的多环芳烃含量较高,而南岸支流的淠河和东淝河沉积物中2～3环的多环芳烃平均含量明显高于其他环数;通过污染来源分析,沉积物中多环芳烃除与天然成岩过程有关外,大都是由有机物质的燃烧与热解引起的。     

青岛地区大气气溶胶中多环芳烃的GC/MS分析

本文采集了青岛5个区的大气气溶胶样品，参照美国EPA610方法，用GC/MS分析鉴定多环芳烃。结果表明，青岛市大气气溶胶中PAHs总量的总趋势是东部高于西部，中部高于南、北部。多环芳烃的环数分布表明，气溶胶中PAHs几乎全部由人类活动产生。16种优先控制多环芳烃化合物中的萘、苊、芴、荧蕙、茚并[1，2，3-cd]芘，苯并[b]荧蒽、苯并[k]荧蒽等有毒有害有机污染物普遍检出于市内五区。苯并[a]芘的大气含量甚微。     

北京地区表层土壤中多环芳烃的分布特征及污染源分析

根据北京地区不同环境功能区62个样品的分析结果,讨论了研究区表层土壤中多环芳烃的分布特征及污染源类型。结果表明：（1）研究区表层土壤中检测到的多环芳烃主要包括萘、苊、菲、惹烯、三芴、荧蒽、芘、、苯并蒽、苯并[b]荧蒽、苯并[k]荧蒽、苯并[e]芘、苯并[a]芘、苝、二苯并[a,h]蒽、茚并[1,2,3–cd]芘、苯并[g,h,i]苝及其同系物;（2）不同环境功能区表层土壤中多环芳烃的组成及质量分数均存在一定的差别,16种优先控制的多环芳烃质量分数为175.1~10 344 ng.g-1,其中城市中心区表层土壤中多环芳烃的质量分数最高,交通干线附近、工矿企业附近表层土壤中PAHs的质量分数较高,林地、果园和农田表层土壤中PAHs的质量分数较低;（3）表层土壤中PAHs既有来源于石油源,也有来源于化石燃料燃烧产物的,但不同功能区二者贡献存在差别,其中农业用地（林地、果园、农田）中PAHs主要来源于石油源（或部分来源于土壤母岩中的有机质）,城区、交通干线附近及工矿企业附近表层土壤中PAHs污染源以化石燃料燃烧产物输入为主。     

山西太谷农村薪柴和蜂窝煤颗粒物和多环芳烃排放特征研究

测定并计算了太谷农村蜂窝煤和薪柴两种燃料颗粒物、CO、CH4和多环芳烃排放因子,其中多环芳烃包括16种美国环保局优控化合物、12种非优控母体多环芳烃、12种硝基多环芳烃和4种含氧多环芳烃.蜂窝煤4类多环芳烃化合物的排放因子分别为3.56±5.42、0.73±0.099、0.22±0.48和0.36±0.62 mg·kg-1,薪柴为62.6±41.3、20.4±3.61、4.44±6.18和0.84±1.00mg ·kg-1.薪柴大多数污染物排放因子高于蜂窝煤,但蜂窝煤多环芳烃排放因子的变异则高于薪柴.蜂窝煤和薪柴多环芳烃排放因子的成分谱有显著差异,除菲、荧蒽和苯并(b)荧蒽为共同优势排放物外,萘、芴、屈和苯并(k)荧蒽为蜂窝煤的特征排放物,芘、环戊烯(c,d)芘和苯并[a]蒽为薪柴的特征排放物.3-硝基荧蒽与3-硝基菲和2-硝基萘分别是蜂窝煤与薪柴排放的主要硝基多环芳烃.母体多环芳烃排放因子的气固比主要受分子量(挥发性)影响,衍生多环芳烃则与取代基的性质有关.蜂窝煤燃烧前期母体多环芳烃的排放因子显著高于后期,两个阶段的总排放因子分别为9.52±12.3和2.54±2.42 mg· kg-1,衍生多环芳烃在两个阶段的差别小于母体多环芳烃.     

徐州市区大气颗粒物中多环芳烃的污染特征

采用高效液相色谱技术（HPLC）对徐州市大气颗粒物中优控的16种多环芳烃（PAHs）进行定量研究。结果表明：萘、芴、苊等低分子量芳烃的含量相对较低;苯并（g,h,i）苝、茚并（1,2,3-cd）芘、苯并（k）荧蒽、苯并（a）芘等高分子量芳烃的含量相对较高;含量最高的单体为荧蒽,占待检的16种PAHs的19%以上。不同环数多环芳烃含量大小顺序为：4环〉5环〉6环〉3环〉2环。可吸入颗粒物（PM10）中苯并（a）芘和∑PAHs在不同功能区的分布特征大体上一致,并呈现一定规律性：交通干线区〉工业区〉风景文化区〉居民区〉新城区。由此可以初步认为徐州市区PM10中的PAHs主要来源于燃煤和汽车尾气。     

应用物种敏感性分布评估DEHP对区域水生生态风险

应用物种敏感性分布（Species Sensitivity Distribution,SSD）方法构建了邻苯二甲酸二辛酯（Diethylhexyl phthalate,DEHP）对淡水生物的SSD曲线。在此基础上,计算了DEHP对不同生物的5%危害浓度（HC5）,分析比较DEHP对不同生物类别的毒性敏感性差异及其特征,并针对在不同污染物质量浓度下,评价了我国不同地区水体DEHP对不同生物类别的生态风险。结果表明,不同物种对DEHP污染物的耐受范围存在差异,从小到大依次为无脊椎动物〈脊椎动物〈藻类,这可能与各物种的组别多样性有关,耐受范围越大,表示随着质量浓度增加,风险增大的趋势较缓慢;DEHP对不同物种的HC5从小到大依次为藻类〈无脊椎动物〈脊椎动物。HC5越小,DEHP对该物种的生态风险越大,其中藻类对DEHP最敏感,其HC5为41.01μg·L-1,从总体上看,DEHP对淡水生物系统的HC5为4 521.46μg·L-1;不同质量浓度值得出的PAF值的大小,反映不同类别生物的损害程度。质量浓度在1 000μg·L-1以下,全部物种的PAF值几乎为0;当质量浓度达1 000μg·L-1时,藻类和无脊椎动物开始受到影响;当质量浓度达10 000μg·L-1时,61.85%和88.04%的藻类和无脊椎动物分别受到影响,全部物种有64.34%受到影响。我国不同地区河流湖库水体水生态风险评估表明其水生态风险极低,PAF接近于0。     

新疆准东煤矿开采区域中多环芳烃的污染特征分析

本文采集并分析了新疆准东煤矿开采区域6个采样点的降尘、土壤和植物的样品,对样品中16种多环芳烃(PAHs)的含量进行了分析,结果显示,降尘中∑PAHs在1.07—8.34 mg·kg~(-1)间;土壤中(除1#点位)∑PAHs在0.134—1.06 mg·kg~(-1)间;植物中(除1#点位)∑PAHs在0.163—1.54 mg·kg~(-1)间.降尘中高含量PAHs主要为苯并[b]荧蒽、菲和萘;土壤中高含量PAHs主要为菲、荧蒽和蒽;植物中高含量PAHs主要为萘、菲和芴.降尘、土壤及植物中PAHs均显示出富三环的特征;研究区域土壤中PAHs的苯并(a)芘等效毒性当量结果显示,研究区域土壤中PAHs的污染存在一定的潜在风险.     

墨水河表层沉积物中多环芳烃(PAHs)的分布特征、来源解析及生态风险评价

本文运用GC-MS测定了墨水河表层沉积物中16种优控多环芳烃(PAHs)浓度,采用多种数据分析技术解析了PAHs的来源.结果表明,苊烯、苊、蒽和苯并(a)蒽在部分样品中未检出,其余12种在所有样品中均有检出,16种PAHs总浓度为196.51—8549.33 ng·g~(-1),平均浓度为3320.03 ng·g~(-1).沉积物中PAHs的环数分布以高环为主,运用轻重比、分子比值和主成分分析-多元线性回归模型(PCA-MLR)等3种方法,共同确定PAHs的主要来源分别为混合源(煤炭、生物质和汽油燃烧源)、柴油燃烧源和石油源,这3种来源对总PAHs的贡献分别为59.8%、26.0%和14.2%.效应区间低/中值法(ERL/ERM)对PAHs生态风险分析表明,芴、菲、苯并(a)蒽、、苯并(b)荧蒽、苯并(k)荧蒽和苯并(a)芘在墨水河中下游偶尔会产生负面生态风险,二苯并(a,h)蒽存在经常产生负面生态效应的可能;平均效应区间中值商法(M-ERM-Q)分析表明,墨水河上游和入海口处PAHs的综合生态风险较低,而中下游站位则具有中低风险.     

Residual levels and health risk of polycyclic aromatic hydrocarbons in freshwater fishes from Lake Small Bai-Yang-Dian, Northern China

The residual levels of polycyclic aromatic hydrocarbons (PAHs) in the liver, brain, gill and muscle tissues of four common edible freshwater fish species including crucian carp, snakehead fish, grass carp and silver carp collected from Lake Small Bai-Yang-Dian in northern China were measured by GC-MS. The distribution and composition pattern of PAHs in the fish tissues, and the effects of lipid contents in fish tissues and the octanol-water partition coefficient (Kow) of PAHs congeners on them were analyzed. The human health risk of PAHs though fish consumptions was estimated. The following results were obtained: (1) The average residual levels of total PAHs (PAH₁₆) on wet weight base in the different tissues of each fish species ranged from 4.764 to 144.254 ng/g ww. The differences in the average residual levels on wet weight base for PAH₁₆ within four fish species were not statistically significant (P > 0.05); however, these within four fish tissues were statistically significant (P < 0.01). (2) There were very similar distribution patterns of PAH congeners among both the fish tissues and the fish species, as indicated by statistically significant positive interrelationships (R = 0.58-0.97, P < 0.01 or P < 0.05). Low molecular weight (LMW) PAHs predominated the distribution in the fish tissues, accounting for 89.97% of total PAHs. Phe was the most dominant component, according for 37.79% of total PAHs, followed by Ant (18.59%), Flo (12.59%), Nap (10.79%), Fla (9.82%) and Pyr (6.43%). (3) The PAHs residues and distribution in the fish tissues are dependent on both the Kow of PAH congeners and the lipid contents in the fish tissues. There was a significant positive relationship (R = 0.7116, P < 0.0001) between lipid contents and PAHs residual levels. The statistically significant negative relationships (P < 0.05) were found between LogKow and log-transformed PAHs contents on wet weight base for all fish tissues except for the muscle tissue of snakehead fish, the brain and liver tissues of crucian carp. (4) The risk levels of total PAHs were lower than 10⁻⁵ for the muscle tissues of four studied fish species and for the brain tissues of grass carp and snakehead fish; while these were higher than 10⁻⁵ for the brain tissues of crucian carp and silver carp. The risk levels of total PAHs in the liver tissues of four studied fish species except for snakehead fish exceeded 10⁻⁵ for 2-4.5 times. However, the potency equivalent concentration (PEC) of total PAHs in four studied fish tissues were still lower than the maximum permissible BaP limits for crops and baked meat and for plants in the national criterions. The distributions of PAH congeners in fish were well simulated by a level III fugacity model, especially for low molecule weight PAHs.     

杭州市郊区表层土壤中多环芳烃的风险分析

采集杭州市郊区表层土壤中多环芳烃的样品,用色谱-质谱技术对多环芳烃化合物进行定量分析。美国环保总署推荐优先控制的16种多环芳烃单体质量分数在1.49～87.43 ng.g-1之间,萘、芴、苊等低分子量芳烃质量分数相对较低;、茚并[1,2,3-cd]芘、苯并[ghi]苝等高分子量芳烃质量分数相对较高,其中苯并[ghi]苝质量分数最高。对照荷兰的土壤标准,杭州市郊区表层土壤中的荧蒽、、茚并[1,2,3-cd]芘、苯并[ghi]苝超标比较严重,超标率100%;多环芳烃的Bap等效毒性当量是荷兰规定目标值的2倍;因此,杭州市郊区表层土壤中存在一定的潜在风险。多环芳烃Ant/（Phe＋Ant）、BaA/（Chr＋BaA）、Flua/（Pyr＋Flua）等参数表明,多环芳烃主要来源于燃烧源,且以机动车尾气为主;BeP/（BeP＋BaP）比值偏高,可能与土壤中的多环芳烃主要来源于大气沉降有关。     

热带砖红壤生长的小白菜吸收和累积PAHs的特征

为了了解和掌握热带土壤栽培的小白菜（Brassica rapa L. Chinensis Group.）对多环芳烃（PAHs）污染物的吸收和累积规律,为热带土壤的安全利用及农产品安全生产提供科学依据,于2013 年5-9 月在海南省农垦科学院海口试验站网室内进行了小白菜盆栽试验.各处理土壤分别施加3 种单体 PAHs 的质量分数梯度为0、0.4、0.8、1.6、3.2 mg·kg^-1,撒播小白菜种子出苗后,每盆留苗6 株,自然条件,常规管理,各处理小白菜培养30 d 后收获.小白菜和土壤样品,用超声水浴萃取,层析小柱净化后,利用气相色谱-质谱法测定样品中的3 种PAHs.结果表明,小白菜根和叶中3 种PAHs 累积量随土壤施加质量分数的升高而增加,根部和叶对Phe 最大累积量分别为86.25 ng·g^-1 和37.18 ng·g^-1,而对 BaP 的最大累积量分别为20.78 ng·g^-1 和3.56 ng·g^-1;小白菜根对Phe 与Fla 的生物富集系数较大,且二者无明显差异,但对 BaP 的生物富集系数较小,且差异显著（P=0.006）;3 种PAHs 单体在各种处理土壤中的残留在 84.49%-94.03%之间,各单体之间无明显差异,各处理之间也无明显差异.说明热带土壤生长的小白菜根和叶中3 种单体 PAHs 浓度显著低于其土壤中的浓度,且根部积累3 种单体PAHs 的浓度显著高于其叶中的浓度;小白菜叶对BaP 的吸收和累积量极少;小白菜根更易吸收和累积Phe 和Fla;小白菜生长30 d 后,绝大部分PAHs 仍残留在土壤中.     

临汾市售蔬菜中多环芳烃污染特征及致癌风险分析

为了研究临汾市食物中多环芳烃(PAHs)的污染特征及对人群的健康影响,本研究于2015年1月采集当地居民普遍食用的9种蔬菜,利用气相色谱-质谱联用仪(GC-MS)检测蔬菜中8种多环芳烃(Nap、Ace、Acy、Fle、Phe、Ant、Flu、Pyr)。研究表明,PAHs在9种蔬菜中均有检出,PAHs的总浓度范围是24.86~82.85 ng·g~(-1),平均为44.13 ng·g~(-1)。其中PAHs含量最高的是圆白菜(82.85 ng·g-1),最低的是山药(24.86 ng·g~(-1))。通过来源分析发现来源地蔬菜中PAHs主要来源于液体化石燃料燃烧。临汾市不同人群食用蔬菜引起的终身增量致癌风险(ILCR)在1.27×10~(-6)~7.07×10~(-6)范围内,在目前蔬菜消费量下存在潜在致癌风险。     

应用物种敏感性分布法对太湖沉积物中多环芳烃的生态风险分析

多环芳烃(PAHs)具有高的疏水性,在水体中优先分布于沉积物.采用物种敏感性分布法(SSDs法),依据水生生物慢性毒性数据计算5%物种危害浓度(HC5);并结合欧盟委员会风险评价技术导则(TGD)进而得到沉积物预测无效应浓度(PNEC-sed),以报道的太湖的沉积物中浓度数据作为预测环境浓度(PECsed);用商值法P...     

Polycyclic aromatic hydrocarbons in farmland soils around main reservoirs of Jilin Province,China: occurrence,sources and potential human health risk

Study on the occurrence, sources and potential human health risk of polycyclic aromatic hydrocarbons in farmland soils around reservoirs is of great significance for the people drinking water security. In the present study, representative farmland soil samples around main reservoirs of Jilin Province, China, were investigated for 16 PAHs. The total concentrations of 16 priority PAHs in 32 farmland soil samples ranged from 602.12 to 1271.87 ng/g, with an arithmetic average of 877.23 ng/g, and the sum of seven carcinogenic PAH concentrations ranged from 30.07 to 710.02 ng/g, with a mean value of 229.04 ng/g. The 3-ring and 4-ring PAHs were major exist and account for 45.78 and 32.03%, respectively. Non-cancer and cancer risk of pollutants were calculated, and the results indicate that the complex PAHs in farmland soils were not considered to pose significant health effects. The isomer ratios Fla/(Fla + Pyr) and BaA/(BaA + Chr) show that the PAHs in soils were generally derived from biomass and coal combustion.     

Distribution,source apportionment and health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in intertidal sediment of Asaluyeh,Persian Gulf

Surface sediment samples were collected from intertidal zone of Asaluyeh, Persian Gulf, to investigate distribution, sources and health risk of sixteen polycyclic aromatic hydrocarbons (PAHs). Total PAH concentrations ranged from 1.8 to 81.2 μg kg^?1 dry weight, which can be categorized as low level of pollution. Qualitative and quantitative assessments showed that PAHs originated from both petrogenic and pyrogenic sources with slight pyrogenic dominance. Source apportionment using principal component analysis indicated that the main sources of PAHs were fossil fuel combustion (33.59%), traffic-related PAHs (32.77%), biomass and coal combustion (18.54%) and petrogenic PAHs (9.31%). According to the results from the sediment quality guidelines, mean effects range-median quotient (M-ERM-Q) and benzo[a]pyrene toxic equivalents (BaP_eq), low negative ecological risks related to PAH compounds would occur in the intertidal zone of Asaluyeh. The total benzo[a]pyrene (BaP) toxic equivalent quotient (TEQ^carc) for carcinogenic compounds ranged from 0.01 to 7 μg kg^?1-BaP_eq, indicating low carcinogenic risk. The human health risk assessment of PAH compounds via ingestion and dermal pathways suggests low and moderate potential risk to human health, respectively.     

Toxic equivalency factor approach for risk assessment of polycyclic aromatic hydrocarbons

The toxic equivalency factor (TEF) method has been developed to evaluate structurally related compounds, sharing a common mechanism of action. Because certain polycyclic aromatic hydrocarbons (PAHs) appear to fit this requirement and are ubiquitous environmental contaminants, these compounds are TEF candidates. Toxicity is often expressed relative to benzo[a]pyrene (BaP), the reference standard (e.g., TEF = EC50_BaP/EC50_PAH). BaP‐like toxicity or toxic equivalents (TEQs) can then be calculated: TEQ = S(PAH _i × TEF _i ), where PAH _i and TEF _i are the concentration and TEF, respectively, for individual PAH congeners. Representative TEFs for PAHs were compiled from studies measuring carcinogenic potency and surrogate biomarkers. This review examines the application of TEFs to PAHs with established criteria (i.e., demonstrated need, defined chemical grouping, broad toxicological database, endpoint consistency, additivity, common mechanism of action, consensus). Although all criteria are not satisfied (e.g., endpoint inconsistency, nonadditivity) and more rigorous validation studies are needed, the TEF method is useful when limitations are recognized. Refinements of the method might include incorporation of pharmacokinetic factors and segregation of TEFs derived from mammalian vs. nonmammalian systems to increase endopoint consistency. Probabilistic analysis may also prove useful to assess the range of TEF values reported both within and between human health and ecological risk assessments.     

2种毒性评估方法对PAHs污染场地人体健康风险的比较研究

毒性评估是人体健康风险评价的重要部分,目前主要存在2种方法,一种基于PAHs相对于苯并[a]芘(BaP)的毒性当量因子,采用Ba P致癌斜率因子参数(方法 1),另一种直接采用各PAHs致癌斜率因子和非致癌参考剂量等参数(方法 2)。然而2种毒性评估方法得到的风险及修复量是否存在差异以及引起差异的原因等问题鲜有讨论。针对苏南某焦化厂PAHs污染土壤,采用分层土壤健康风险评价模型,对比了2种毒性评估方法确定的PAHs风险、修复目标污染物及土方量的差异,并对引起差异的关键因素进行探讨。结果表明:对于0.0~1.0 m表层土壤,方法 1和方法 2确定的致癌风险最大值分别1.48E-05和1.32E-05,均超过可接受致癌风险,修复土方量分别为27 846 m~3和28 667 m3,修复目标污染物均为Ba P和二苊烃(Acy)。对于1.0~3.0 m深层土壤,方法 1确定的致癌风险最大值为3.36E-08,低于可接受致癌风险,不需要修复;而方法 2确定的致癌风险最大值为3.73E-04,非致癌危害指数最大值为6.96E+01,分别超过可接受致癌风险和非致癌危害商,需要修复,修复目标污染物为萘(NaP),修复土方量为35 944 m~3。最终,方法 2确定的总修复土方量(64 611 m~3)为方法 1确定土方量(27 846 m~3)的2.45倍,而这种差异主要是由于方法 1低估了深层土壤中高挥发性PAH单体尤其是NaP的风险所致。因此,从保守角度建议采用方法 2进行PAHs风险评价。