In vitro agonistic and antagonistic endocrine disrupting effects of organic extracts from waste water of different treatment processes

Effluents from wastewater treatment plant （WWTP） have been reported to have a broad spectrum of endocrine disrupting compounds （EDCs）. The majority of studies have focused on the occurrence of estrogenic activity, while ignoring nuclear hormone receptors （NRs） pathways. In the present study, a battery of in vitro yeast bioassays and a cell bioassay, including antagonistic and agonistic effects on estrogen receptor （ER）, androgen receptor （AR）, progesterone receptor （PR）, estrogen- related receptor （ERR） and aryl hydrocarbon receptor （AHR）, were conducted to evaluate the removal efficien- cies of EDCs by different treatment processes of a WWTP located in Beijing. Estrogenic, anti-estrogenic, anti- androgenic, anti-progesteronic, anti-ERR and the activa- tion of AHR activities were detected in samples from all treatment processes and the receiving water. The concen- tration of estrogenic contaminants with estradiol （E2） equivalent concentrations ranged from 0.82 x 10-9 to 3.54 x 10 9g Ee_EQ.L-1. The concentration of anti-estrogenic contaminants with 4-hydroxytamoxifen （4-OHT） equiva- lent concentrations ranged from 1.24 × 10-6 to 2.36 x 10-6 g 4-OHT-EQ.L-1. The concentration of anti-androgenic contaminants ranged from 2.21 x 10-s to 3.52 × 10-6g flutamide-EQ. L-1. The concentration of anti-progesteronic contaminants ranged from 3.15 x 10^-5 to 2.71 x 10^-4g RU486-EQ. L-1. The concentration of anti-ERR contami- nants ranged from 7.09 x 10-5 to 6.50 x 104 g 4-OHT-EQ × L^-10. The concentration of AHR activators ranged from 1.7 × 10-10 to 3.4 × 10^-10g TCDD-EQ-L-1. These processes including secondary clarifier, coagulation, as well as coal and sand filtration could eliminated 67.2% of estrogenic contaminants, 47.0% of anti-estrogenic contaminants, 98.3% of anti-androgenic contaminants, 88.4% of anti- progesteronic contaminants, 65.4% of anti-ERR contami- nants and 46.9% of AHR activators. WWTP effluents contain multiple receptor disruptors may have very complex adverse effects on exposed organisms.     

微波预处理面包酵母对锶的吸附研究

采用微波预处理的面包酵母作为生物吸附剂吸附处理Sr2＋,研究了其吸附特性、生物吸附动力学、吸附平衡过程和吸附机理.实验结果表明,微波预处理能有效提高酵母的吸附效能.酵母对Sr2＋吸附10min即可达到平衡,吸附过程可以很好地用准二级动力学方程来描述（R2=0.9999）,平衡吸附量qe为4.69mg·g^-1,二级吸附...     

活性氧和钙离子参与镉诱导的酵母细胞死亡过程调节

以酵母为实验材料,研究了镉(以CdCl2形式添加)对细胞的毒性作用机制.结果显示,浓度为0.25~5 mmol·L-1的镉可降低酵母细胞活性,诱导细胞死亡;随着镉浓度的提高和处理时间的延长,细胞死亡率增高.凋亡抑制剂Z-Asp-CH2-DCB与镉共同作用后,细胞死亡率明显低于镉单独处理组.经镉处理后,酵母细胞内的活性氧(ROS)水平显著升高;外源抗氧化剂抗坏血酸和过氧化氢酶能降低镉引发的细胞死亡,特异性Ca2+螯合剂EGTA或Ca2+通道特异性抑制剂LaCl3亦可明显降低镉诱发的细胞死亡率.研究表明,镉诱发的酵母细胞死亡过程存在依赖于caspase途径的细胞凋亡途径;镉诱发的死亡与镉处理组胞内ROS和Ca2+水平升高有关,ROS可能通过增加胞内Ca2+水平,继而激活相关下游信号导致细胞死亡.     

提高平菇深层培养木质素降解酶活性和对直接湖蓝5B脱色率的探索性研究

以稻草为主要营养基质对平菇进行深层培养,研究了不同浓度(100、200、400、600、800 mg·L-1)直接湖蓝5B对平菇菌丝体产量的影响,以及平菇对不同浓度(100、150、200、250、300、400 mg·L-1)直接湖蓝5B的脱色率.此外,还研究了平菇分别与3种酵母菌(酿酒酵母、产朊假丝酵母和热带假丝酵母)混菌培养及用不同浓度(50、100、200、300、400 mg·L-1)直接湖蓝5B预适应培养的平菇菌种对木质素降解酶活性和直接湖蓝5B脱色率的影响.结果表明:100~400 mg·L-1的直接湖蓝5B均可显著提高了平菇菌丝体产量,而800 mg·L-1的染料对菌丝体的生长有显著抑制作用;染料浓度越高,平菇对其的脱色率越低,发酵时间越长,脱色效果越好.与平菇单菌发酵相比,平菇分别与酿酒酵母和产朊假丝酵母混菌培养可显著提高发酵体系漆酶的活性,平菇分别与所试3种酵母菌混菌培养时锰过氧化物酶活性均有显著增加,与产朊假丝酵母混菌培养时两种酶活性的增加量最大;用50、100、200 mg·L-1直接湖蓝5B预适应培养的菌种接种可显著提高平菇分泌的漆酶的活性,而50mg·L-1和100 mg·L-1的则显著提高锰过氧化物酶的活性.平菇分别与所试3种酵母混菌培养,以及用50 mg·L-1和100 mg·L-1直接湖蓝5B预培养的平菇菌种接种,发酵体系对直接湖蓝5B的脱色效果有显著促进作用,其中,平菇与产朊假丝酵母混菌培养时脱色率最高,达96.3%.通过比较直接湖蓝5B脱色率与漆酶、锰过氧化物酶活性之间的关系可以看出,漆酶、锰过氧化物酶活性与脱色率间基本呈正相关关系.     

吸附Sr~(2+)后酵母细胞的絮凝特性研究

为寻求生物吸附处理重金属或核素废水的后处理途径,本论文以吸附Sr2+后酵母细胞为对象,通过对絮凝前后上部液相浊度分析,探讨了絮凝剂种类、液相初始p H、酵母细胞初始浓度以及絮凝剂量等因素对絮凝效果的影响;并探讨了PAC(聚合氯化铝)对吸附Sr2+后酵母细胞的絮凝机理.结果显示:3种铝盐絮凝剂对酵母细胞絮凝效果对比结果显示为:PACKAl(SO4)2Al2(SO4)3.对PAC而言,其在实验条件下对酵母细胞的絮凝是一个快速作用过程,在1 min内出现明显矾花现象,而60 min时絮凝效率可达到99%以上.Zeta电位分析显示p H为3~10范围内,酵母细胞与PAC之间的电位差值Δζ均在50 m V以上,其中最大可达68.4 m V,这将带来PAC对酵母细胞的快速絮凝,SEM和液相电导率变化分析也证实了这点.PAC可作为一种良好的絮凝剂用于对吸附Sr2+或其他重金属离子后的酵母细胞进行絮凝处理.     

环境雌激素的生物检测与应用

环境雌激素问题已成为环境领域的研究热点。因此,建立简单快速有效的检测方法显得尤其重要。目前对污染物雌激素效应的测评主要依赖于生物学方法,文章主要介绍了子宫生长实验、肝细胞卵黄蛋白原生成实验、人乳腺癌细胞(MCF-7)增值实验、重组基因酵母实验、酵母双杂交实验五种主要的环境雌激素生物检测方法及其在国内外环境激素测评中的应用现状。     

南方某水厂处理工艺过程中内分泌干扰物的变化规律

对南方某水厂处理工艺过程中内分泌干扰效应进行了研究.将水源水和各处理工艺的出水用固相萃取方法富集后,按不同极性洗脱,得到从非极性到极性3个组分,对总提取物和各分级富集组分分别进行重组基因酵母检测.探讨了该水厂不同处理工艺过程中内分泌干扰物的变化规律.结果表明:水源水中该类污染物浓度最高,相当于0.25 pmol/L雌二醇当量,主要存在于非极性组分(正己烷洗脱组分)中.各处理工艺段水样都存在一定程度的内分泌干扰物效应.经处理后,非极性组分内分泌干扰物效应降低,极性组分内分泌干扰物效应逐渐增加,但总地内分泌干扰物效应逐渐递减,现有工艺对雌激素类物质有较好的去除效果,去除率达到83%.研究表明,重组基因酵母检测技术结合水样的固相萃取、三步纯化分级前处理方法可以快速、有效地筛选和定量分析水样中未知内分泌干扰物及其总体效应.     

深海生物圈酵母菌的研究进展

从深海生物圈中酵母菌的来源状况、种类分布特征、研究方法等角度阐述了其最新进展,结合本课题组的相关研究,以便加强我们对深海生物圈中酵母菌的了解和认识,并提出开展该领域研究亟需解决的问题;希望本综述为开发利用深海酵母菌资源提供参考.     

取代芳烃对酵母菌毒性的定量结构－活性相关研究

定量测定了苯胺类、苯甲酸类、卤代苯类、苯腈类、硝基苯类、苯酚类等６类化合物对酵母菌的生长抑制毒性，结果表明化合物的最小产生清晰抑菌圈浓度Ｃｍｉｚ与辛醇－水分配系数及一阶分子连接性价指数有如下关系：ｌｏｇ（１／Ｃｍｉｚ）＝０．３８ｌｏｇＫｏｗ＋０．３３＾１Ｘ＾ｖ－０．３８ ｒ＝０．９２ ｓ＝０．２２ ｎ＝７７。在上述６类取代苯类化合物中，它们与酵母菌的反应性大小有如下顺序：卤代苯类≈苯甲酸类〈苯胺类     

Cytotoxic activity of spark‐decomposed sulfur hexafluoride and analysis of cytotoxic contributions of individual spark decomposition products†

Sulfur hexafluoride decomposed by electrical sparks has been found to by cytotoxic to hamster cells when tested in an in vitro cell survival assay, while SF₆ shows no cytotoxic activity. Chemical analysis of spark‐decomposed SF₆ has identified and quantified the following compounds: SOF₂, SO₂F₂, SF₄, SOF₄, SiF₄, SO₂ and HF. Each of these gases, at concentration ranges expected in spark‐decomposed SF₆, were tested for cytotoxic activity toward hamster cells. Of the gases showing cytotoxic activity, SO₂F₂ and SOF₄ were similar in activity, as were SOF₂ and SF₄, while the behavior of SiF₄ was different from the rest. None of these individual gases, at concentrations expected in spark‐decomposed SF₆, has sufficient cytotoxic activity to account for the cytotoxic effect of spark‐decomposed SF₆ observed in our assay system. A four‐component mixture of some of the gases enumerated above (at concentrations overestimating their abundance in spark‐decomposed SF₆) was much less cytotoxic than the spark‐decomposed SF₆ gas. A mathematical simulation of the cytotoxic activity of a mixture of gases at concentrations found in spark‐decomposed SF₆ was made, assuming independent cytotoxic effects from each component. The simulated cytotoxic effect thus computed was less than that seen in spark‐decomposed SF₆. Since individual components or mixtures of the major decomposition products do not account for the observed biological activity of spark‐decomposed SF₆, this suggests there may be one or more components, present in the spark‐decomposed gas at very low concentrations, which may have a very strong cytotoxic activity.