同位素稀释高分辨气相色谱-高分辨质谱法测定氯化石蜡工业品中二噁英

氯化石蜡（CPs）作为一种用途广泛、产量大的有机氯化学工业品,具有组成多样、基质复杂等特点,对其中产生的二噁英（PCDD/Fs）检测是当前工作面临的难题。建立了同位素稀释高分辨气相色谱-高分辨质谱法检测CPs工业品中PCDD/Fs的分析方法。对样品净化过程进行了优化,通过提取溶剂筛选,去除固体CPs中部分基质,建立的双活性炭柱法可高效去除CPs基质。方法采用¹³ C₁₂标记的PCDD/Fs内标物进行定性和定量分析。17种PCDD/Fs同系物的检出限为0.1～3 pg/g,回收率为31.7%～100%。该方法可对高纯度工业品中痕量持久性有机污染物进行高效的定性和定量分析,能够满足国家标准方法对PCDD/Fs检测的要求。     

ERIC-PCR指纹图谱技术对低温下SUFR反应器中菌群结构分析

使用ERIC-PCR指纹图谱技术对螺旋升流式反应器(Spiral Up-Flow Reactor,SUFR)在低温下的微生物群落结构进行了分析.结果表明,低温下反应器中微生物菌群呈多样性分布,优势菌群突出;在遭受约5℃低温条件冲击后,反应器中菌群多样性和反应器脱氮除磷效率都有所降低,但TN去除率和TP去除率仍然达到了72.35%和93.28%,维持了反应器的正常功能.不同温度下对比分析可以看出,在低温和常温下反应器中优势菌群发生了一定变化,常温条件下的优势菌群比低温条件下更丰富多样.总体看来,SUFR反应器良好的螺旋升流特质有利于不同菌群在不同温度下的功能发挥,特别是低温下脱氮除磷功能的维持.     

Impact of silver nanoparticles on natural marine biofilm bacteria

There has been a recent increase in the use of silver nanoparticles (Ag NPs) in a wide range of consumer products due to their highly effective antimicrobial properties. However, Ag NPs give cause for concern since their wide use makes them likely to be released into aquatic ecosystems and potentially affect natural bacterial communities. In this study marine biofilms were grown in situ in a coastal site (Singapore Harbour) and exposed in the laboratory for a further 24 h to 0-2000 μg L⁻¹ of well characterised Ag NPs. Increasing concentrations of Ag NPs caused a significant decrease in biofilm volume and biomass, and Ag uptake by biofilms per unit of volume was also dependent on concentration. Terminal fragment length polymorphisms and subsequent cluster and phylogenetic analysis showed the presence of major bacterial groups in biofilms irrespective of treatment with Ag NPs. This implies that even at the highest concentrations studied these taxonomic groups were not displaced. Nevertheless, biofilm succession was impeded on Ag NP treated biofilms, affecting the relative abundance of major bacterial groups in the biofilm community, with potential longer term effects on biofilm development and function.     

基于复合指纹图谱和贝叶斯模型的茅尾海悬浮颗粒物源解析

为明确茅尾海中悬浮颗粒物的来源,采集了茅尾海流域红树林土壤、堤岸土、河口颗粒物、茅尾海沉积物以及湾外颗粒物等悬浮颗粒物潜在源样品.基于多元统计复合指纹图谱方法,筛选出最佳指纹因子组合,进而通过贝叶斯混合模型得出五种潜在源对茅尾海悬浮颗粒物的贡献率.结果表明:Mg、Al、Mn、Pb、Fe五种指纹元素可作为最佳指纹因子组合,累计判别正确率为78%.贝叶斯混合模型结果显示,茅尾海悬浮颗粒物主要来源于河口和湾外输送,贡献率最高达到58.9%和68.6%.其中,靠近河口区域主要受河流汇入影响,其贡献率达到42.2%~58.9%;靠近湾外区域则以湾外颗粒物贡献为主,贡献率达到44.9%~68.6%.各点位的沉积物贡献率均较低,红树林土壤和堤岸土的贡献率都在10%左右.总的来说,由河口汇入和潮汐作用带入的颗粒物是茅尾海悬浮颗粒物的主要来源.