高效木薯渣分解复合菌群RXS的构建及其发酵特性研究

从富含腐烂纤维质的环境中取样,通过以木薯渣及滤纸为碳源的蛋白胨纤维素培养基不断地富集培养,构建了一组高效稳定的纤维质分解复合菌群.考察了该复合菌群对不同纤维质底物的分解性能及其在木薯渣水解过程中主要参数的变化.研究发现该复合菌群对滤纸、脱脂棉、微晶纤维素、麦秸秆和木薯渣等原料均能够进行有效的降解.在该复合菌群应用于木薯渣的水解过程中,监测发现纤维素酶、半纤维素酶、果胶酶等关键酶的酶活力分别在第2～3 d达到最大值34.4、90.5和15.8U;经过10 d的发酵后,木薯渣中的纤维素、半纤维素及木质素分别降解了79.8%、85.9%和19.4%,且木薯渣的失重高达61.5%;此外,代谢产物主要是乙酸、丁酸、己酸和甘油;而溶解性COD、总糖和总挥发酸的变化表明第2 d时木薯渣的水解率最高.上述结果表明,该复合菌群能够有效地水解木薯燃料酒精生产过程中的废弃物木薯渣,并有望用于木薯渣高效沼气发酵的前处理中.     

Determination of the residue dynamics and dietary risk of thiamethoxam and its metabolite clothianidin in citrus and soil by LC-MS/MS

A modified quick, easy, cheap, effective, rugged and safe (QuEChERS) method was developed for the determination of thiamethoxam and its metabolite clothianidin in citrus (including the whole citrus, peel and pulp) and soil samples by liquid chromatography-tandem mass spectrometry. The sample was extracted with acetonitrile and purified with octadecylsilane. The detection limits of both compounds were 0.0001–0.0002?mg kg^–1, while the limit of quantification of thiamethoxam was 0.002?mg kg^–1 and the limit of quantitation of metabolites was 0.001?mg kg^–1. The recovery was 70.37%–109.76%, with inter-day relative standard deviations (RSD) (n?=?15) values ≤9.46% for the two compounds in the four matrices. The degradation curve of thiamethoxam in whole citrus and soil was plotted using the first-order kinetic model. The half-life of the whole citrus was 1.9–6.2?days, and the half-life of the soil was 3.9–4.2?days. The terminal residue of thiamethoxam (the sum of thiamethoxam and clothianidin, expressed as thiamethoxam) was found to be concentrated on the peel. The final residual amount of thiamethoxam in the edible portion (pulp) was less than 0.061?mg kg^–1. The risk quotient values were all below 1, indicating that thiamethoxam as a citrus insecticide does not pose a health risk to humans at the recommended dosage.     

高锰酸盐复合药剂预氧化对摇蚊幼虫DBPsFP的去除控制研究

以花翅摇蚊幼虫为试验对象,研究高锰酸盐复合药剂预氧化对摇蚊幼虫代谢产物在氯化消毒过程中消毒副产物前体物的去除控制.研究表明:在p H由5升高到9时,三氯乙酸(TCAA)与二氯乙酸(DCAA)的浓度呈逐渐减少趋势;p H由5升高到7时,三氯甲烷(TCM)和三氯乙腈(TCAN)的浓度减幅最大,1,1-二氯丙酮(1,1-DCP)和1,1,1-三氯丙酮(1,1,1-TCP)则在p H为8时浓度达到最低值;随着药剂投加量的增加,TCM呈现出持续稳定增长趋势,DCAA呈总体下降趋势,而TCAN、1,1-DCP、1,1,1-TCP和TCAA则先增加后减少,高锰酸盐的投加量为3mg·L-1时,消毒副产物去除效果显著;延长预反应时间,TCM呈总体上升趋势,1,1-DCP、DCAA、TCAA呈下降趋势,TCAN、1,1,1-TCP呈先增加后减少的趋势,综合考虑最佳预氧化时间为30 min;投加混凝剂能够有效控制消毒副产物前体物的生成,随着混凝剂的不断增加,TCM、1,1,1-TCP呈先增加后减少的趋势,TCAN、1,1-DCP、DCAA、TCAA浓度则逐渐降低,在投量为40 mg·L-1时,达到最低值.     

The structure of the fire fighting foam surfactant Forafac®1157 and its biological and photolytic transformation products

For several decades, perfluorooctane sulfonate (PFOS) has widely been used as a fluorinated surfactant in aqueous film forming foams used as hydrocarbon fuel fire extinguishers. Due to concerns regarding its environmental persistence and toxicological effects, PFOS has recently been replaced by novel fluorinated surfactants such as Forafac®1157, developed by the DuPont company. The major component of Forafac®1157 is a 6:2 fluorotelomer sulfonamide alkylbetaine (6:2 FTAB), and a link between the trade name and the exact chemical structure is presented here to the scientific community for the first time. In the present work, the structure of the 6:2 FTAB was elucidated by ¹H, ¹³C and ¹⁹F nuclear magnetic resonance spectroscopy and high-resolution mass spectrometry. Moreover, its major metabolites from blue mussel (Mytilus edulis) and turbot (Scophthalmus maximus) and its photolytic transformation products were identified. Contrary to what has earlier been observed for PFOS, the 6:2 FTAB was extensively metabolized by blue mussel and turbot exposed to Forafac®1157. The major metabolite was a deacetylated betaine species, from which mono- and di-demethylated metabolites also were formed. Another abundant metabolite was the 6:2 fluorotelomer sulfonamide. In another experiment, Forafac®1157 was subjected to UV-light induced photolysis. The experimental conditions aimed to simulate Arctic conditions and the deacetylated species was again the primary transformation product of 6:2 FTAB. A 6:2 fluorotelomer sulfonamide was also formed along with a non-identified transformation product. The environmental presence of most of the metabolites and transformation products was qualitatively demonstrated by analysis of soil samples taken in close proximity to an airport fire training facility.     

土著致病菌及其胞外物在生物防治斑马贝中的作用

无脊椎动物斑马贝(Dreissena polymorpha) 的生物污损造成了巨大的经济损失,而应用从斑马贝体内分离出的土著菌株及其体外代谢产物对它进行生物防治是一种经济效益显著且对环境友好的方法.本文主要报导从斑马贝体内分离的土著菌株中筛选出致病菌并研究该细菌及其代谢产物对它的控制作用.在三十多种土著菌株中,中间气单胞菌( Aeromonas media),维罗纳气单胞菌(A. veronii),杀鲑气单胞菌杀鲑亚种(A. salmonicida subsp. salmonicida)和腐败希瓦氏菌(Shewanella putrefaciens)是幼体斑马贝的致命致病菌.当接种量为每只斑马贝107 个细菌时,接种中间气单胞菌、杀鲑气单胞菌杀鲑亚种和腐败希瓦氏菌的5 d 死亡率为100%,而维罗纳气单胞菌为65%.通过扫描电镜(SEM)发现,垂死的斑马贝肌肉组织被破坏并含有大量的细菌.4种细菌代谢产物的不同组分表现出对斑马贝不同的致死效果,在所研究的3种不同Mr组分中(Mr<5×103,5×103～10×103及>10×103),>10 ×103组分具有最高致死率.这些结果为控制贝类无脊椎动物的生物污损提供了新方法. 图4 参24     

均匀流场水平潜流人工湿地对四环素类抗生素的去除效果

利用均匀流场水平潜流人工湿地实验系统处理含四环素类抗生素废水,考察了湿地系统对抗生素的去除率、出水口差向代谢产物的含量以及抗生素在湿地植物中的累积情况。实验结果表明:在水力停留时间为2 d、土霉素、四环素、金霉素和强力霉素进水质量浓度均为200 μg/L时,出水中上述4种抗生素的平均去除率分别为98.62%、93.06%、99.13%和92.25%;出水可检出3种四环素类抗生素代谢产物,分别为差向土霉素、差向金霉素和差向四环素,质量浓度分别为(3.69±0.23) μg/L、(13.81±0.47) μg/L和(19.00±0.63) μg/L;湿地植物美人蕉的根、茎、叶中可以检测到土霉素和四环素,四环素含量的大小顺序为茎>根>叶。     

基于PBPK模型评价三氯乙烯的职业暴露健康风险

三氯乙烯(TCE)作为脱脂和清洗剂被广泛应用于五金、电镀和电子等行业。TCE的职业暴露会产生一系列健康风险,包括过敏症和致癌等。2012年TCE被美国环保局(US EPA)和国际癌症研究机构列为1类致癌物。采用吸附管采样-热脱附/气相色谱-质谱法分析了大连市某企业车间生产工况下空气中TCE浓度。基于生理学的药代动力学(PBPK)模型预测了呼吸暴露途径下TCE在职业工人体内组织中的动态分布、代谢产物生成情况和致癌风险。TCE在不同组织中预测的最大浓度呈现出脂肪肠充分灌注室支气管非充分灌注室肝脏静脉血动脉血的趋势。预测的与致癌有关的代谢产物最大浓度表现为三氯乙酸二氯乙酸三氯乙醛S-二氯乙烯基-L-半胱氨酸。在监测的TCE水平(39.2±24.4)μg·m-3下,暴露8 h·d-1,连续暴露20年,基于外暴露评价的职业工人致癌风险均值为1.31×10-5,该暴露水平下,基于PBPK模型预测的TCE内暴露与外暴露计算的致癌风险水平相近,但基于具有致癌性主要代谢产物的内暴露致癌风险值是外暴露风险值的1.17～1.73倍。TCE的暴露水平越高,基于内暴露方法和外暴露方法的致癌风险评价结果差异越大。敏感性分析表明,心输出血流量和充分灌注室血流量对PBPK模型输出结果具有重要影响。不确定性分析表明,模型参数变化会显著地影响PBPK模型输出结果,但变异在可接受水平。本研究结果说明,评价TCE暴露对人的致癌风险需要考虑其在体内的分布和代谢过程。     

2,3,7,8-TCDD代谢产物的液-质联用分析

采用肝微粒体体外温孵法,对2,3,7,8-TCDD在大鼠肝微粒体中进行体外代谢研究.利用实验中所建立的液相色谱串联质谱方法对其代谢产物进行直接分析,共鉴别出两类代谢产物,分别为2个单羟基化代谢产物(2-OH-1,3,7,8-TCDD和1-OH-2,3,7,8-TCDD)和双羟基化脱氯的代谢产物.     

北京市人群尿液中羟基多环芳烃的影响因素

于2016年11、12月以北京市3个典型区域的431名普通居民为研究对象,平均年龄（62.80±10.42）岁.以液相色谱联合质谱检测人群尿液中2-OHNap、1-OHNap、2-OHFul、1+9-OHPhe、2-OHPhe、3-OHPhe、4-OHPhe及1-OHPyr浓度水平,并对研究人群进行问卷调查.结果表明,全部人群尿液中2-OHNap、1-OHNap、2-OHFul、∑OHPhe、1-OHPyr浓度中位数水平分别为2.99,3.46,4.24,1.49,0.35μg/g Cr.Logistics回归分析显示,吸烟者尿液中2-OHNap、1-OHNap、2-OHFul、1-OHPyr发生高浓度的可能性分别是不吸烟者的9.83,6.32,4.51,1.89倍;年龄组每增加一个等级,导致2-OHNap、1-OHNap、∑OHPhe、1-OHPyr发生高浓度的可能性分别增加了0.48,0.44,0.31,0.46倍;教育程度每增加一个等级,导致2-OHFul发生高浓度的可能性降低了0.44倍.相关性分析显示,人体尿液中2-OHNap的浓度与环境空气中的萘的浓度呈正相关关系.人体尿液中2-OHNap主要来源于城市空气中的萘.影响北京市典型区域人群尿样中羟基多环芳烃浓度升高的主要因素为吸烟、年龄增高以及受教育程度较低.     

Water-dispersible nano-pollutions reshape microbial metabolism in type-specific manners: A metabolic and bacteriological investigation in Escherichia coli

• Water-dispersible nano-pollutions exhibit type-specific toxic effects on E. coli. • Global metabolite profiling was used to characterize metabolic disruption patterns. • Key dysregulated metabolites responsive to nano-pollution exposures were found. • Amino acid metabolism and purine metabolism are perturbed at nano-pollutions. Incomplete separation and recycling of nanoparticles are causing undesirable nanopollution and thus raising great concerns with regard to nanosafety. Since microorganisms are important regulator of physiological processes in many organisms, the interaction between nanopollution and microbial metabolomics and the resultant impact on the host’s health are important but unclear. To investigate how typical nanopollution perturbs microbial growth and metabolism, Escherichia coli (E. coli) in vitro was treated with six water-dispersible nanomaterials (nanoplastic, nanosilver, nano-TiO₂, nano-ZnO, semiconductor quantum dots (QDs), carbon dots (CDs)) at human-/environment-relevant concentration levels. The nanomaterials exhibited type-specific toxic effects on E. coli growth. Global metabolite profiling was used to characterize metabolic disruption patterns in the model microorganism exposed to different nanopollutants. The percentage of significant metabolites (p<0.05, VIP>1) accounted for 6%–38% of the total 293 identified metabolites in each of the nanomaterial-contaminated bacterial groups. Metabolic results also exhibited significant differences between different nanopollutants and dose levels, revealing type-specific and untypical concentration-dependent metabolic responses. Key metabolites responsive to nanopollution exposures were mainly involved in amino acid and purine metabolisms, where 5, 4, and 7 significant metabolic features were included in arginine and proline metabolism, phenylalanine metabolism, and purine metabolism, respectively. In conclusion, this study horizontally compared and demonstrated how typical nanopollution perturbs microbial growth and metabolomics in a type-specific manner, which broadens our understanding of the ecotoxicity of nanopollutants on microorganisms.