十溴联苯醚对土壤酶活性及土壤呼吸强度的影响

采用室内模拟试验考察十溴联苯醚对土壤呼吸强度和土壤脲酶活性、磷酸酶活性及过氧化氢酶活性的影响,探讨十溴联苯醚外源化学物质对土壤环境的生态效应.结果表明,在w(十溴联苯醚)为10,100和500 mg/kg的条件下,十溴联苯醚对土壤呼吸强度和土壤脲酶活性有显著的抑制作用,且随处理土壤样品中w(十溴联苯醚)的增加,抑制作用增强. 十溴联苯醚对过氧化氢酶活性的作用表现为先激活后抑制,而土壤磷酸酶活性对十溴联苯醚不敏感.十溴联苯醚对土壤生态系统具有一定的破坏作用.      

十溴联苯醚（BDE-209）对成年大鼠甲状腺激素的影响

多溴联苯醚(PBDEs)是现代工业中广泛应用的溴系阻燃剂,PBDEs具有持久性有机卤素污染物(Organohalogen Contaminants,OHCs)和内分泌干扰物(Endocrine Disrupters,EDs)的化学物理特性.PBDEs的生物毒性也是国际上环境生态科学的关注热点.论文建立了十溴联苯醚(BDE-209)暴露剂量的成年大鼠模型,测定了不同暴露剂量的实验动物血清甲状腺激素(Thyroid hormones,THs)水平,初步研究了PBDEs污染物对生物体甲状腺激素的影响.BDE-209的量-效关系研究结果显示,TT4、FT4和TT3浓度均随着暴露剂量的提高而下降,这可能是BDE-209对甲状腺合成分泌T4、T3起到了抑制作用.不同BDE-209暴露剂量下,TT4~FT4以及TT4~TT3的正相关系数大于FT3~TT3以及FT3~FT4,这意味着BDE-209暴露对于T4从甲状腺激素转运结合蛋白(Transthyretin,TTR)的分离与脱碘过程影响不明显,而影响了结合态T3从TTR的分离过程以及FT4的脱碘过程,从而对甲状腺激素的平衡具有干扰效应.采用基准点分析法,研究了BDE-209对于甲状腺干扰相对效应的时间-效应关系,实验表明由于甲状腺的应激作用,对于毒物具有自我防御功能,BDE-209对甲状腺的干扰效应在5~8d后才有所显现,持续时间至少为14d.     

Microbial responses to combined oxidation and catalysis treatment of 1,4-dioxane and co-contaminants in groundwater and soil

Post-treatment impacts of a novel combined hydrogen peroxide (H₂O₂) oxidation and WO_x/ZrO₂ catalysis used for the removal of 1,4-dioxane and chlorinated volatile organic compound (CVOC) contaminants were investigated in soil and groundwater microbial community. This treatment train removed ~90% 1,4-dioxane regardless of initial concentrations of 1,4-dioxane and CVOCs. The Illumina Miseq platform and bioinformatics were used to study the changes to microbial community structure. This approach determined that dynamic shifts of microbiomes were associated with conditions specific to treatments as well as 1,4-dioxane and CVOCs mixtures. The biodiversity was observed to decrease only after oxidation under conditions that included high levels of 1,4-dioxane and CVOCs, but increased when 1,4-dioxane was present without CVOCs. WO_x/ZrO₂ catalysis reduced biodiversity across all conditions. Taxonomic classification demonstrated oxidative tolerance for members of the genera Massilia and Rhodococcus, while catalyst tolerance was observed for members of the genera Sphingomonas and Devosia. Linear discriminant analysis effect size was a useful statistical tool to highlight representative microbes, while the multidimensional analysis elucidated the separation of microbiomes under the low 1,4-dioxane-only condition from all other conditions containing CVOCs, as well as the differences of microbial population among original, post-oxidation, and post-catalysis states. The results of this study enhance our understanding of microbial community responses to a promising chemical treatment train, and the metagenomic analysis will help practitioners predict the microbial community status during the post-treatment period, which may have consequences for long-term management strategies that include additional biodegradation treatment or natural attenuation.

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Determination of methyl tert-butyl ether (MTBE) in Chinese fuels by gas chromatography/mass spectrometry and gas chromatography/flame ionization detector

A method was developed to determine the concentration of methyl tert-butyl ether(MTBE) in gasoline,diesel and heating oil by gas chromatography(GC) with mass spectrometry(GC-MS) or flame ionization detection(FID). The diluted gasoline was directly injected into the GC, and the complete separation of MTBE from co-eluting hydrocarbons was not required. GC/MS or GC/FID method can be used to analyze MTBE in different concentration range and have good consistency.     

用上流式生物反应器降解甲基叔丁基醚

用上流式生物反应器（UFBR）降解甲基叔丁基醚（MTBE），研究了水力停留时间（HRT）和进水中MTBE质量浓度对MTBE去除率的影响。实验结果表明：在进水中MTBE质量浓度为25mg／L、HRT为18．6h的条件下，MTBE的去除率为84．13％；在HRT为18．6h、进水中MTBE质量浓度低于15mg／L的条件下，MTBE的去除率达92％以上。UFBR符合Eckenfelder动力学模型。     

甲基叔丁基醚的污染治理技术研究进展

甲基叔丁基醚(MTBE)是一种无铅汽油添加剂,其广泛使用造成了土壤和地下水污染;同时对人类有可疑致癌作用,因此成为人们关注的焦点.对近年来国外MTBE的污染治理技术研究进展进行了综述,并对主要方法进行了对比.在适宜的微生物存在条件下,MTBE的生物降解是可以发生的;植物修复技术可用于地下水和土壤污染治理;物理化学方法种类繁多,包括吸附和高级氧化等,其处理效率高成本也较高;新的处理技术如渗透性活性障壁PRB、膜分离/催化技术等也在研究之中.     

反萃取双波长光度法测定水中微量酚类和芳胺

研究了乙醚萃取,１０％ＮａＯＨ溶液和１０％ＨＣｌ溶液反萃取,４－氨基安替吡啉（４－ＡＡＰ）双波长光度法同时测定污水中酚类和芳胺含量的分析方法。提高了测定灵敏度,有效地消作多种干扰物质的干扰,可测定０．００３－６．０ｍｇ·Ｌ＾－１的酚类和０．０００８－０．５ｍｇ·Ｌ＾－１的芳胺加标回收率,苯酚１０１％￣１０８％,苯胺９６％￣１０７％。酚类测定与国标的相对误差≤６．５％,芳胺类测定结果与相应国标法的误     

Allometric models for the estimation of above- and below-ground biomass of Jatropha curcas L. in semi-arid regions of Southern India

Jatropha curcas L. (Jatropha) is an important multipurpose tree valued for oil. In India, plans are underway to bring substantial area under this crop for meeting the biofuel requirements of the country. A study was conducted to develop allometric relationships in Jatropha to predict various biomass-related components (above ground and below ground) using easily measurable attributes, viz. collar diameter, tree height, number of branches, crown diameter, and crown depth. Further, it was aimed to establish the reliability of these relationships using an independent dataset obtained from varied management situations. Destructive sampling was carried out during the rainy season of 2011, when Jatropha plants were eight years old. Highly significant allometric relationships (F-values significant at 1% level) were obtained while predicting various biomass components (above, below, and total) using easily measurable attributes with R² values ranging from 0.89 to 0.98. Of all the predictors, collar diameter exhibited a highly significant relationship with total dry biomass per plant (R² = 0.97). The allometric relationships developed were validated with an independent dataset. The allometric relationships developed would serve as valuable tools for estimating total dry biomass production and carbon sequestration with reasonable accuracy in Jatropha systems, as they are proposed to be taken up in substantial area in the years to come.     

直接固相微萃取气相色谱-质谱法测定辛基酚聚氧乙烯醚

建立了直接固相微萃取与气相色谱-质谱联用技术测定污水中辛基酚聚氧乙烯醚(OPEO_n)低聚物的方法.在最优实验条件下,测定辛基酚(OP)、辛基酚二乙氧醚(OPEO_2)、辛基酚三乙氧醚(OPEO_3)、辛基酚四乙氧醚(OPEO_4)、辛基酚五乙氧醚(OPEO_5)的线性范围分别为10～100,10-1 000,10～500,10～1 000,10～1 000 ng/L;检出限分别为10.4,7.7,8.1,9.0,8.5 ng/L;回收率为78.4%～114.0%,相对标准偏差小于10.4%.以正二十烷为内标,测定污水处理厂出水中的OPEO_n,实验结果表明,OPEO_2质量浓度高且变化范围较大,为133～2 412 ng/L.