固相萃取-气相色谱/质谱法测定水中多环芳烃

建立了固相萃取-气相色谱／质谱联用测定水中多环芳烃(PAHs)的分析方法．优化了固相萃取条件。结果表明,固相萃取效率高、萃取时间短,采用MS的选择离子检测方式对实际水样中PAHs进行定性定量分析,平均回收率在80．4％～115％之间,相对标准偏差为7．03％～18．5％,方法的检出限在0．010～0．020μg／L之间。通过实际样品中PAHs的分析表明,该法快速,溶剂用量少,能满足痕量分析的要求。     

Effect of ambient polycyclic aromatic hydrocarbons and nicotine on the structure of Aβ42 protein

● B[a]P, nicotine and phenanthrene molecules altered the secondary structure of Aβ₄₂. ● β-content of the peptide was significantly enhanced in the presence of the PAHs. ● Nicotine made stable cluster with Aβ₄₂ peptide via hydrogen bonds. ● Phenanthrene due to its small size, interfered with the Aβ₄₂ monomer more strongly. Recent studies have correlated the chronic impact of ambient environmental pollutants like polycyclic aromatic hydrocarbons (PAHs) with the progression of neurodegenerative disorders, either by using statistical data from various cities, or via tracking biomarkers during in-vivo experiments. Among different neurodegenerative disorders, PAHs are known to cause increased risk for Alzheimer’s disease, related to the development of amyloid beta (Aβ) peptide oligomers. However, the complex molecular interactions between peptide monomers and organic pollutants remains obscured. In this work, we performed an atomistic molecular dynamics study via GROMACS to investigate the structure of Aβ₄₂ peptide monomer in the presence of benzo[a]pyrene, nicotine, and phenanthrene. Interestingly the results revealed strong hydrophobic, and hydrogen-bond based interactions between Aβ peptides and these environmental pollutants that resulted in the formation of stable intermolecular clusters. The strong interactions affected the secondary structure of the Aβ₄₂ peptide in the presence of the organic pollutants, with almost 50 % decrease in the α-helix and 2 %–10 % increase in the β-sheets of the peptide. Overall, the undergoing changes in the secondary structure of the peptide monomer in the presence of the pollutants under the study indicates an enhanced formation of Aβ peptide oligomers, and consequent progression of Alzheimer’s disease.     

有机溶剂浸取石油污染土壤中的多环芳烃

采用索氏提取法和气相色谱分析了某炼油厂周边土壤中的多环芳烃的种类及含量,考察了6种有机溶剂对土壤中多环芳烃的浸取效果,探讨了溶剂与溶质溶解度参数差异对浸取效果的影响。结果表明：土壤试样中含有蒽、荧蒽、芘、 、苯并[a]蒽、苯并[b]荧蒽、苯并[k]荧蒽和苯并[a]芘8种多环芳烃,其含量分别为4.20,22.05,10.62,4.26,5.54,0.80,0.94,4.18 mg/kg;筛选出二氯甲烷作为土壤中多环芳烃的浸取溶剂;最佳浸取条件为浸取时间10 min、浸取温度30 ℃、溶剂与土壤的液固比5:1（mL/g）、土壤含水量8%,在此条件下,总多环芳烃浸出率为83.0%,各种多环芳烃的浸出率分别为蒽97.8%、荧蒽78.2%、芘99.9%、 98.5%、苯并[a]蒽81.1%、苯并[b]荧蒽47.6%、苯并[k]荧蒽14.8%、苯并[a]芘58.7%。     

澳门大气气溶胶中多环芳烃研究

通过1995年和1998年澳门大气气溶胶中多环芳烃分析表明,1998年的有机污染程度是1995年的1.36～4.36倍,大气气溶胶中多环芳烃白天高于夜间,说明主要污染物为居民的工作、生活、商业、交通所排放。澳门商业交通功能区有机毒害污染较为严重,苯并(a)芘和苯并(a)蒽分别为1.56～8.10ng/m3和0.85～4.68ng/m3。      

环境中多环芳烃前处理和分析方法

多环芳烃(PAHa)是一类广泛存在于大气、水体、土壤、沉积物中的持久性有机污染物,对环境和生物体存在较大危害.介绍了国内外部分水体中PAHs的污染状况,对液态和固体PAHs的主要前处理方法和分析方法进行了比较和归纳,展望了环境样品中PAHs的前处理和分析方法的发展方向.     

江汉平原四湖流域上区地下水中多环芳烃分布特征与源解析

初次对江汉平原四湖流域上区地下水中多环芳烃(PAHs)的分布特征和来源进行研究,选择湖北潜江长湖-汉江一带9个典型地下水采样点分枯水期和丰水期进行采样,并利用气相色谱与质谱联用仪对16种优控PAHs进行定量分析.结果表明,研究区枯水期和丰水期地下水中PAHs的浓度变化范围分别为62.74~224.63 ng·L-1和55.86~115.15 ng·L-1,总体水平表现出枯水期高于丰水期,且分布于滨湖区域和近岸带的地下水中PAHs浓度较高.这些PAHs输入途径比较复杂,经用主成分分析法分析其来源,大致可归结为燃烧源,部分采样点有石油或石油燃烧的污染.研究区域地下水中PAHs浓度与国内某些地区相比,显示出较低的污染水平,但就致癌性PAHs来看,枯水期具有致癌性PAHs的浓度范围在19.32~153.39 ng·L-1之间,丰水期在16.30~64.22 ng·L-1之间,均已远远超出地下水中PAHs所允许的致癌浓度范围,这必然会对当地人类身体健康构成威胁.     

成都市PM10中多环芳烃来源识别及毒性评估

对成都市2009年冬夏两季可吸入颗粒物(PM10)中16种多环芳烃(PAHs)含量进行了研究,并进一步分析其空间分布、组成特征及来源.结果表明,16种PAHs中15种被普遍检出(Nap未检出),冬季和夏季的ΣPAHs浓度范围分别为40.25~150.68ng/m3和44.51~71.16ng/m3,平均浓度分别为88.36ng/m3和64.21ng/m3.空间分析表明,PAHs浓度在工业区较高,背景点较低.从PAHs组分分析结果显示,低环含量较低,4~6环所占比例较大,其比例范围为86.7%~96.1%.各组分含量季节差异不明显.利用特征化合物比值法、等级聚类法、PCA解析法分析了污染源类型,结果表明成都市PM10中PAHs的主要来源是机动车尾气排放源,以及煤与木材燃烧源.通过BaP当量(BaPE)进行了毒性评估,结果显示成都市冬夏两季的BaPE均值分别为13.41ng/m3和9.54ng/m3.     

珠江水体表层沉积物中PAHs的含量与来源研究

沿珠江白鹅潭水域及大学城官州河流域设立6个采样点,利用沉积物捕获器收集沉积物。参照美国EPA8000系列方法及质量保证和质量控制,对各采样点表层沉积物中16种多环芳烃（polycyclic aromatic hydrocarbons,PAHs）进行分析,以阐明珠江广州河段表层沉积物中PAHs的含量和分布特征,并结合特征化合物指数对其来源作初步探讨。珠江广州河段表层沉积物中PAHs总量介于4 787.5～8 665 ng·g^-1,平均值为7 078 ng·g^-1,黄沙码头河涌出口沉积物中总量为最高（8 665 ng·g^-1）,芳村码头为最低（4 787.5 ng·g^-1）。16种多环芳烃中菲、荧蒽、芘含量较高,分别占PAHs总量的16.11%、14.47%和17.77%。特征化合物荧蒽/202比值均小于0.5,茚并[1,2,3-cd]芘/276比值均大于0.2,表明珠江广州段表层沉积物中PAHs主要来源于化石燃料的不完全燃烧。     

南京市典型地区大气多环芳烃污染特征及健康风险评价

采用气相色谱-质谱法,于2016年9月和12月对南京市2个典型地区大气中16种多环芳烃(PAHs)的质量浓度进行分析,并开展了PAHs组成特征、来源解析及人体健康风险评价研究。结果表明,工业区(六合区)和生活区(江宁区)大气(气态和可吸入颗粒态)中16种PAHs的质量浓度分别为914.82和712.27 ng/m~3,苯并[a]芘毒性等效浓度分别为274.1和309.84 ng/m~3,且呈现冬季高、秋季低的特征。比值法源解析结果表明,燃煤污染是六合区PAHs污染主要来源,而江宁区主要表现为交通污染。人体健康风险评价结果表明,六合区和江宁区人群通过大气吸入PAHs的超额致癌风险分别为5.17×10~(-5)和5.85×10~(-5),均略高于可接受水平10~(-6)。     

Aliphatic and polycyclic aromatic hydrocarbons in the bottom sediments from Klaipėda Harbour,Lithuania (Baltic Sea)

A total of 22 bottom surface sediment samples were collected from Klaip?da Harbour, Lithuania (Baltic Sea). Sediment parameters, such as grain size and concentrations of total organic carbon, aliphatic hydrocarbons (ALHs) and polycyclic aromatic hydrocarbons (PAHs), were determined. Hydrocarbon contamination levels in the sediments were estimated based on classifications provided in the literature, and potential biological effects were assessed based on the effects range low–effects range median values of the Sediment Quality Guidelines and on the total toxic benzo(a)pyrene equivalent. The results demonstrated that concentrations of PAHs and total aliphatic hydrocarbons in the sediments varied between 1.6 and 5456?ng?g^?1 d.w. and 6.9 and 727?μg?g^?1 d.w., respectively. In most cases, the concentrations of ALHs and PAHs in the sediments indicated low to moderate levels of pollution and were not observed to have any significant adverse effects on living biota. To determine possible sources of hydrocarbons, hydrocarbon compositions were analysed, and ALHs’ and PAHs’ specific diagnostic ratios were calculated. According to the results, the Klaip?da Harbour bottom sediments were dominated by PAHs of pyrogenic origin, whereas the origin of ALHs was mixed, that is, anthropogenic with a biogenic (aquatic and terrestrial) input.