白醋废水制备微生物絮凝剂的响应面法优化及其对造纸废水的处理

以选取微生物絮凝剂的廉价培养基为研究目的,从活性污泥中筛选微生物絮凝剂产生菌,选取白醋废水为廉价培养基代替发酵培养基对菌种进行培养,通过单因素培养条件优化,考察了不同体积分数废水、外加碳源、外加氮源、培养时间和pH值对微生物絮凝剂产生菌的絮凝率的影响,通过P-B筛选与响应面分析相结合用于优化白醋培养基培养条件,并对实际造纸废水进行处理研究。实验结果表明,经过预处理灭菌后,单独以白醋废水作为廉价培养基,最适条件为体积分数80%、转速140 r·min-1、培养时间48 h、温度32℃、pH 6.88、磷酸氢二钾4.08 g·L-1、氯化铵2.39 g·L-1,并对造纸废水加以处理,絮凝率达96.77%,COD去除率56.13%,色度去除率95.60%。因此,利用白醋废水作为微生物絮凝剂的替代培养基是完全可行的,并且可以用于实际废水的处理,达到以废治废的目的。     

大麻茎腐病菌的分离及其对土壤环境影响的研究

从病变部位分离出两株病原真菌DN1和DN2,通过茵丝及孢子形态的观察,初步确定其分别为半知菌亚门链格孢属（Altemaria altemata）及轮枝孢属（M．Verticillium）。在pH值4～14之间,两株菌都能正常生长,对环境的适应能力较强。通过盆栽试验确定大麻对土壤pH的影响,结果表明大麻能修复弱碱性土壤。     

净化SO2的生物膜填料塔中微生物类群分析

对净化废气中SO2的生物膜填料塔内的微生物进行了分离纯化并做鉴定,得到一株嗜酸性氧化硫硫杆菌（Acidithiobacillus thiooxidans IEL001）和一株分类地位非常接近链二孢属（Bispora sp.）的极端嗜酸真菌IEL002,生物膜填料塔内的极端酸性环境和有机营养的缺乏导致生物膜上的微生物种类较为单一,多样性程度不高。本研究还发现IEL002自身并不能氧化单质硫,但它能促进Acidithiobacillus thiooxidans IEL001对单质硫的氧化。     

白腐真菌与嗜热性侧孢霉复配对棉花秸秆降解的影响

为了解决农业固体废弃物棉花秸秆还田后的快速降解问题,本研究以棉花秸秆在白腐真菌和噬热性侧孢霉复配下的微生物降解为研究内容,通过对白腐真菌和噬热性侧孢霉拮抗试验、白腐真菌和噬热性侧孢霉复配对棉花秸秆降解的最优条件组合筛选试验、白腐真菌与噬热性侧孢霉复配在田间降解秸秆的系列研究进行分析,结果表明:(1)白腐真菌和噬热性侧孢霉两种菌株共存时不相互抑制菌丝生长,菌株之间不发生拮抗反应,可以对两种菌株进行复配形成棉花秸秆降解菌群;(2)根据L9(34)正交试验结果,综合考虑温度、氮添加量、菌种类型和料水比这四种因素对棉花秸秆中木质素、纤维素和酸性洗涤纤维的降解效果,室内降解棉花秸秆在最优组合条件温度45℃、氮添加量3%、料水比1/2,复合菌群下的效果最好;(3)田间降解试验进一步验证了室内降解实验结果的可靠性,在冬季低温和降雪等情况下,为期50 d的田间试验中复配菌组对棉花秸秆降解率达到29.93%。后续实验需要在考虑实际土壤磷素含量情况下,确定适合于棉花秸秆降解的磷素补充量来促进棉花秸秆在田间快速降解。本研究对农业固体废弃物棉花秸秆在田间的快速降解提供了一种有效的方法,具有很好的实践意义。     

氟化铵和氨循环法从脱腊脱油废白土中制取白炭黑

利用NH4F与废白土中SiO₂反应生成的（NH4）SiF6溶液和NH₃,进行闭路循环反应,生成NH4F与水合SiO₂（白炭黑）,通过正交优化,得到最佳工艺为：氟化反应,NH₄F∶废白土＝1.28,NH₄F∶水＝0.9,反应温度60℃,反应时间4h;氨化反应,反应温度60℃,反应时间8h,投料比＝2〔25％氨水mL/（NH₄）SiF₆g〕。循环试验结果表明,NH4F转化率可达82％,白炭黑产率达90％以上,只需补充少量NH₄F和氨水,就能在不产生环境污染的情况下从废白土中制取白炭黑。     

低频环境噪声对思维判断能力的干扰影响

选取了3种典型的城市居住区设备低频噪声实样和声学仪器产生的白噪声,使用剂量作业法,分别测定了播放噪声和无噪声干扰2种环境下,被试者的思维能力指数(AYP)和错误率.研究结果显示,在噪声干扰的条件下,多数被试者的AYP较无噪声干扰时有所下降,错误率上升,二者差异显著.多数被试人员在3种噪声实样对比组中的平均AYP和错误率变化较白噪声的对比组中较明显,其中AYP差异达显著水平.由此认为低频成份是影响思维能力的主要频率成份.配对t检验和对实录样本的频谱分析结果表明,室外空调机噪声样本的影响程度最大,表明峰值频率在50～300 Hz频率段的低频环境噪声比其他噪声负面影响更大.     

Piriformospora indica confers cadmium tolerance in Nicotiana tabacum

Piriformospora indica, a root-colonizing endophytic fungus of Sebacinales, promotes plant growth and confers resistance against biotic and abiotic stresses. In order to confirm the influence of P. indica on growth, proline, malondialdehyde (MDA), chlorophyll, and cadmium (Cd) amounts in Nicotiana tabacum under Cd stress, hydroponics, pot and field trials were conducted. The results showed that P. indica can store Cd in plant roots and reduce leaf Cd content, reduce the concentration of MDA, and increase the proline and chlorophyll content and the activities of catalase, peroxidase, and superoxide dismutase under hydroponic Cd stress. RT-PCR analysis showed that the relative expression level of genes Gsh2, TaPCS1, oas1, GPX, and Hsp70 in colonized plants was 4.3, 1.4, 2.9, 1.7, and 6.9 fold higher than in un-colonized plants respectively. Cd exposure significantly reduced un-colonized plants'' agronomic traits compared to P. indica-colonized ones. Our results suggested that P. indica can sequester Cd in roots, so that much less cadmium was transported to leaves, and the increased concentrations of antioxidant enzymes, pigments and proline contents, as well as the higher expression of stress-related phytochelatin biosynthesis genes in P. indica-inoculated plants, may also serve to protect N. tabacum plants against oxidative damage, enhancing Cd tolerance.     

土壤四环素污染对小白菜幼苗生长发育的生态毒性

采用土培盆栽试验模拟研究了土壤四环素污染对小白菜幼苗生长发育的生态毒性.结果表明,1～100 mg/kg四环素暴露促进了小白菜的茎伸长,但抑制了小白菜的根伸长和鲜重.100 mg/kg四环素处理28 d后,小白菜根长抑制率达到36.0%,鲜重抑制率达到34.6%.随着四环素暴露时间的延长,100 mg/kg四环素处理的...     

Reservoir‐host amplification of disease impact in an endangered amphibian

Emerging wildlife pathogens are an increasing threat to biodiversity. One of the most serious wildlife diseases is chytridiomycosis, caused by the fungal pathogen, Batrachochytrium dendrobatidis (Bd), which has been documented in over 500 amphibian species. Amphibians vary greatly in their susceptibility to Bd; some species tolerate infection, whereas others experience rapid mortality. Reservoir hosts—species that carry infection while maintaining high abundance but are rarely killed by disease—can increase extinction risk in highly susceptible, sympatric species. However, whether reservoir hosts amplify Bd in declining amphibian species has not been examined. We investigated the role of reservoir hosts in the decline of the threatened northern corroboree frog (Pseudophryne pengilleyi) in an amphibian community in southeastern Australia. In the laboratory, we characterized the response of a potential reservoir host, the (nondeclining) common eastern froglet (Crinia signifera), to Bd infection. In the field, we conducted frog abundance surveys and Bd sampling for both P. pengilleyi and C. signifera. We built multinomial logistic regression models to test whether Crinia signifera and environmental factors were associated with P. pengilleyi decline. C. signifera was a reservoir host for Bd. In the laboratory, many individuals maintained intense infections (>1000 zoospore equivalents) over 12 weeks without mortality, and 79% of individuals sampled in the wild also carried infections. The presence of C. signifera at a site was strongly associated with increased Bd prevalence in sympatric P. pengilleyi. Consistent with disease amplification by a reservoir host, P. pengilleyi declined at sites with high C. signifera abundance. Our results suggest that when reservoir hosts are present, population declines of susceptible species may continue long after the initial emergence of Bd, highlighting an urgent need to assess extinction risk in remnant populations of other declined amphibian species.     

Using a Bayesian network to clarify areas requiring research in a host–pathogen system

Bayesian network analyses can be used to interactively change the strength of effect of variables in a model to explore complex relationships in new ways. In doing so, they allow one to identify influential nodes that are not well studied empirically so that future research can be prioritized. We identified relationships in host and pathogen biology to examine disease‐driven declines of amphibians associated with amphibian chytrid fungus (Batrachochytrium dendrobatidis). We constructed a Bayesian network consisting of behavioral, genetic, physiological, and environmental variables that influence disease and used them to predict host population trends. We varied the impacts of specific variables in the model to reveal factors with the most influence on host population trend. The behavior of the nodes (the way in which the variables probabilistically responded to changes in states of the parents, which are the nodes or variables that directly influenced them in the graphical model) was consistent with published results. The frog population had a 49% probability of decline when all states were set at their original values, and this probability increased when body temperatures were cold, the immune system was not suppressing infection, and the ambient environment was conducive to growth of B. dendrobatidis. These findings suggest the construction of our model reflected the complex relationships characteristic of host–pathogen interactions. Changes to climatic variables alone did not strongly influence the probability of population decline, which suggests that climate interacts with other factors such as the capacity of the frog immune system to suppress disease. Changes to the adaptive immune system and disease reservoirs had a large effect on the population trend, but there was little empirical information available for model construction. Our model inputs can be used as a base to examine other systems, and our results show that such analyses are useful tools for reviewing existing literature, identifying links poorly supported by evidence, and understanding complexities in emerging infectious‐disease systems.