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.     

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%。     

ASE-气相色谱法测定油田区土壤中多种石油烃

采用气相色谱法测定油田区土壤中C_(10)～C_(40)的石油烃,通过优化加速溶剂萃取的条件,使方法在62 mg/L～3 100 mg/L范围内线性良好,方法检出限为4.8 mg/kg。用该方法测定石油区短期、中期、长期油井污染土壤样品,5次测定结果的RSD为1.3%～5.2%,加标回收率为84.8%～98.5%,有证标准样品测定结果在可信区间内。     

灌河口表层土壤多环芳烃污染调查

为了解灌河口工业区表层土壤中多环芳烃的污染水平及健康风险。于2017年4月份在灌河口化工园区、火力发电厂和钢铁工业园区采集30个表层土壤样品,利用气相色谱-质谱联用仪(GC-MS)对16种优控ω(PAH)进行了检测。结果表明,30个采样点16种PAH的ω(T-PAHs)总为1 212.8~12 264.5 ng/g,平均值为3 504.8 ng/g。其中单体PAH以Fl为主,平均比例高达19.4%,其次为Pyr(16.7%)和B[a]P(9.6%)。单体PAH相关性分析表明了污染物来源的一致性,主要来源于本地工业区原油、生物质和煤的燃烧过程。根据加拿大土壤环境质量标准,灌河口工业区87%的土壤PAHs污染超过了安全值,存在潜在的生态风险。     

我国污染场地土壤石油烃环境质量标准体系的现状与趋势

石油烃污染场地已经成为国内外重点关注的工业污染场地类型之一。国内基于人体健康风险的污染场地管理模式及分层次评估方法已经展现雏形,为风险管理者提供了基于人体健康的土壤石油烃风险筛选值和管制值,也为污染场地的防治与修复工作提供了决策支持。在前人研究的基础上,梳理了国内土壤环境质量标准体系的建立与发展历程,分析了石油烃类污染物检测方法的现状与未来发展趋势,并着重对比与分析了各标准制订的石油烃及其指示化合物的风险评估筛选值。目前面临的关键问题:①完善石油烃监测指标体系及分析方法是精准获得风险评估结果的前提。现有石油烃馏分指标划分较为宽泛,有必要参考国外先进标准体系,逐渐完善石油烃馏分指标划分及其配套的定量分析方法。②新颁布的国家建设用地土壤污染风险管控标准在前期场地调查中具有一定的普遍适用性,但是考虑到地域建筑物参数、人群暴露参数等的差异性,在后期场地调查中还需要因地制宜地制定适合污染场地的具体修复目标值,并针对关键性参数作定量化解析。     

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。     

吐纳麝香长期暴露下蚯蚓体内金属硫蛋白和谷胱甘肽变化

吐纳麝香(AHTN)作为人工合成麝香中多环麝香的典型代表,具有挥发性、易生物富集等特性,由于其在环境中的浓度日益升高,呈现出一定的生物效应,可能对生态系统的稳态存在着潜在的威胁,为探讨上述课题,试验通过采用自然土壤法以赤子爱胜蚓(Eiseniafetida)作为试验动物,首次研究测定蚯蚓在AHTN的长期暴露条件下,其体内金属硫蛋白和谷胱甘肽含量的变化。试验结果得出低浓度的AHTN能够抑制机体内金属硫蛋白和谷胱甘肽的生成,使得金属硫蛋白和谷胱甘肽的含量显著减少,在一定浓度范围内的AHTN对机体无明显不利影响,而高浓度的AHTN能够诱导机体内金属硫蛋白和谷胱甘肽的生成,使得金属硫蛋白和谷胱甘肽的含量显著增多(P<0.05),从而对土壤环境存在着潜在的生态风险。     

西安表土中多环芳烃的污染特征及其来源解析

通过2008年采集西安不同功能区表层土壤样品,运用GC/MS质谱联用仪对美国EPA优控的16种多环芳烃(PAHs)进行定性、定量分析,来探讨西安表层土壤种多环芳烃的污染特征及其来源。结果表明,16种PAHs均被检出,西安表土中ΣPAHs浓度范围为125~9 057 ng/g,平均值为2 727 ng/g,主要以4~6环PAHs为主,共占总量的69%。PAHs的空间分布规律为:工业区>文教区>绿化区>郊区>农村。应用特征比值判断法可知,西安表土中PAHs主要是煤的不完全燃烧和机动车尾气排放所产生的混合源污染。借鉴国外土壤污染标准可知西安城区表土污染较为严重。     

Degradation of polycyclic aromatic hydrocarbons by Pseudomonas sp. JM2 isolated from active sewage sludge of chemical plant

It is important to screen strains that can decompose polycyclic aromatic hydrocarbons (PAHs) completely and rapidly with good adaptability for bioremediation in a local area. A bacterial strain JM2, which uses phenanthrene as its sole carbon source, was isolated from the active sewage sludge from a chemical plant in Jilin, China and identified as Pseudomonas based on 16S rDNA gene sequence analysis. Although the optimal growth conditions were determined to be pH 6.0 and 37℃, JM2 showed a broad pH and temperature profile. At pH 4.5 and 9.3, JM2 could degrade more than 40% of fluorene and phenanthrene (50 mg/L each) within 4 days. In addition, when the temperature was as low as 4℃, JM2 could degrade up to 24% fluorene and 12% phenanthrene. This showed the potential for JM2 to be applied in bioremediation over winter or in cold regions. Moreover, a nutrient augmentation study showed that adding formate into media could promote PAH degradation, while the supplement of salicylate had an inhibitive effect. Furthermore, in a metabolic pathway study, salicylate, phthalic acid, and 9-fluorenone were detected during the degradation of fluorene or phenanthrene. In conclusion, Pseudomonas sp. JM2 is a high performance strain in the degradation of fluorene and phenanthrene under extreme pH and temperature conditions. It might be useful in the bioremediation of PAHs.     

营养条件对污水中小球藻生长及产能效应的影响

以过滤的富营养化的鱼塘废水为培养液,添加外源的碳、氮、磷元素,考察污水中不同的外源无机碳浓度、总氮浓度、总磷浓度对小球藻(Chlorella vulgaris)的生长、油脂含量和烃类含量的影响。在25℃、光照强度为4 500 Lux、光暗比为12L:12D的条件下培养10 d。单因子方差分析和多重比较结果表明:(1)以Na2CO3做碳源,小球藻生物量和烃类含量在外源无机碳浓度为6 mg/L时最高,油脂含量在外源无机碳浓度为12 mg/L最高。(2)以KNO3做氮源,小球藻生物量在总氮浓度为25 mg/L时最高,油脂含量在总氮浓度为15 mg/L时最高,烃含量在总氮浓度为20 mg/L时最高。(3)以KH2PO4做磷源,小球藻生物量和烃类含量在总磷浓度为2 mg/L时最高,油脂含量在总磷浓度为1.5 mg/L时最高。