相转移催化合成新型含硫氧螯合树脂

1　IntroductionAseveryoneknown ,chelatingresincontainingheteroatomsuchassulfur,nitrogen ,andoxygenpossessexcellentadsorptionandselectivitypropertiesformetalions,especiallyfornoblemetallicions.Therefore ,manyeffortshavebeendonetopreparetheabove mentionedre…     

微生物菌剂对不同废水的适配试验

采用15种不同的微生物菌剂,以葡萄糖配水、中药提取废水、啤酒废水、氨氮配水等为基质,分别测定了微生物菌剂的耗氧速率和厌氧比产甲烷速率,以单位菌剂对不同基质的耗氧速率和厌氧比产甲烷活性为指标,比较了各菌剂对废水的适配性.根据测定结果选择活性高的菌剂,在试验室进行了菌剂对废水的连续处理试验.结果表明,不同菌剂对同一种废水的好氧或厌氧活性不同,同种菌剂对不同废水的好氧和厌氧活性不同.废水的连续处理试验取得良好的处理效果.No.8菌剂处理葡萄糖配水,系统有机负荷最高可达(COD)10.8 g L-1d-1,COD去除率可达90%以上;采用No.10菌剂处理氨氮配水,好氧氨氮负荷可达(NH4-N )1.42 g L-1d-1,厌氧氨氮负荷可达(NH4-N )0.3 gL-1d-1,系统NH4-N 去除率可达90%以上.图2表3参8     

Food quality,spatial deployment,and the intensity of feeding interference in yellow baboons (Papio cynocephalus)

Summary Optimization models lead one to predict that the energy invested in competitive interference with feeding should increase as the quality of the contested food increases. This prediction was tested in a study of feeding interruptions involving juvenile yellow baboons (Papio cynocephalus) in Amboseli National Park, Kenya. For each of the 50 foods eaten by these young primates, 6 measures of food quality (energy content, protein content, yield, yield rate, processing value, and dispersion) and one measure of the spatial deployment of baboons (number of neighbors) were examined for correlations with 4 measures of the frequency and intensity of interruptions (interruption rate, probability of unsuccessful attempts, probability of appropriation, and probability of agonistic behavior). Disperson of food and the proximity of neighboring baboons had little or no effect on the frequency or intensity of interruptions. Food quality had negligible effects on the probabilities of appropriation and agonistic behavior. Yield characteristics were the best predictors of the success of attempted interruptions: attempts were least likely to be successful when processing the food was time-consuming. These results suggest that (1) the interrupter decides whether to interrupt on the basis of increasing its probability of winning the contest and decreasing its cost, and (2) the victim decides whether to resist on the basis of the time that has been and must be invested in harvesting the contested food item.     

How experienced individuals contribute to an improvement in collective performance in ants

Certain groups of organisms are capable of improving their collective performance with experience. In a recent study, we demonstrated that, over successive emigrations, colonies of the ant Temnothorax albipennis are able to improve their collective performance by reducing the time taken to complete an emigration (Langridge et al., Behav Ecol Sociobiol 56:523–529, 2004). In this paper, by recording the performance of individually marked workers during repeated emigrations, we were able to analyse some of the ways in which time gains are achieved. We found that: (1) those transporters that also transported in the preceding emigration began to transport earlier in the current emigration and, in the majority of emigrations, transported more items than those transporters that had not transported in the preceding emigration; (2) the time that elapsed before the first item was transported into the new nest reduced over successive emigrations, and this first item was, in the majority of emigrations, carried by a transporter that had also transported in the preceding emigration; (3) the number of adults that were transported reduced over successive emigrations. Our results strongly suggest that the behaviour of transporters that also transported in a preceding emigration may be modified as a result of their experience and that, consequently, their efforts in the next emigration make a major contribution to the improved performance of the colony as a whole.     

几种抗生素对蛋白核小球藻的时间毒性微板分析法

抗生素在不同的暴露时间可能具有不同的毒性变化规律。本文以蛋白核小球藻(C.pyrenoidosa)为受试生物,96孔微板为暴露实验载体,5种抗生素硫酸安普霉素、氯霉素、双氢链霉素、硫酸新霉素和硫酸链霉素为研究对象,通过在C.pyrenoidosa生长周期内选取6个暴露时间节点(即0、12、24、48、72和96 h),建立了抗生素在不同暴露时间对C.pyrenoidosa生长抑制毒性的微板测试方法(简称T-MTA),并应用T-MTA方法系统测定了5种抗生素对C.pyrenoidosa在不同暴露时间的生长抑制毒性。结果表明,抗生素对C.pyrenoidosa生长抑制毒性具有明显的时间依赖特征,即在开始的时候基本无毒性,而后毒性迅速增加,然后毒性增加速度减慢;不同抗生素的毒性随着暴露时间的延长增加速率不同;同一暴露时间内,5种抗生素对C.pyrenoidosa的毒性大小不同;且毒性顺序随着暴露时间延长而发生变化。     

环境污染物发育毒性机制研究的系统生物学方法进展

基因调控网络(gene regulatory network,GRN)是用于研究基因调控的一种新兴的系统生物学方法,尤其适合描述生物体早期发育的调控系统和机制。由于它能体现出调控过程的网络特性和动态关系,从整体的角度全面审视环境扰动所造成的真实影响,因此有望在内分泌干扰物等环境污染物的发育毒性机制研究中发挥重要作用,解决多年来一直困扰相关研究的种种难题。针对基因调控网络的结构、研究方法、应用成果和案例进行综述,并对将这一方法应用于污染物发育毒性机制研究的前景做出展望。     

Threats to Avifauna on Oceanic Islands

Abstract:  Results of the study by Blackburn et al. (2004 a ) of avifauna on oceanic islands suggest that distance from the mainland and time since European colonization have major influences on species extinctions and that island area is a significant but secondary contributing factor. After augmenting the data of the study on geographical properties for some of the islands they examined, we used a causal analysis approach with structural equation modeling to reexamine their conclusions. In our model geographical properties of islands, such as island area and isolation, were considered constraints on biological factors, such as the number of introduced mammalian predators and existing number of avifauna, that can directly or indirectly influence extinction. Of the variables we tested, island area had the greatest total influence on the threat of extinction due to its direct and indirect effects on the size of island avifauna. Larger islands had both a greater number of threatened bird species and more avifauna, increasing the number of species that could become threatened with extinction. Island isolation also had a significant, positive, and direct effect on threats to island avifauna because islands farther from the mainland had fewer current extant avifauna. Time since European colonization had a significant negative, but relatively weaker, influence on threats compared with the traditional biogeographic factors of island area and distance to the mainland. We also tested the hypothesis that the amount of threat is proportionally lower on islands that have had more extinctions (i.e., there is a "filter effect"). Because the proportion of bird extinctions potentially explained only 2.3% of the variation in the proportion of threatened species on islands, our results did not support this hypothesis. Causal modeling provided a powerful tool for examining threat of extinction patterns of known and hypothesized pathways of influence.     

低浓度溶解氧下猪粪固体有机物水解产酸研究

本文以猪粪为发酵原料,通过批式实验研究不同溶解氧(DO)浓度(0—0.26 mg.L-1)、发酵时间(3—12 d)和挥发性固体(VS)浓度(11.14—111.35 g.L-1)对猪粪固体水解酸化过程的影响,确定了低DO浓度下固体有机物优化水解产酸工艺条件:中温35℃,初始VS浓度37.11 g.L-1,初期的DO浓度0.1—0.26 mg.L-1.在此条件下,发酵时间3 d,DO浓度下降到0.10 mg.L-1以下.猪粪发酵液pH值由7.45±0.10降低到5.86±0.17,VS降解率(25.67±1.20)%,挥发性脂肪酸(VFA)中乙酸(3895±91)mg.L-1、丙酸(2313±82)mg.L-1、正丁酸(1361±17)mg.L-1、正戊酸(540±11)mg.L-1.优化条件下的猪粪水解酸化液进行厌氧产甲烷发酵,发酵10 d内产气停止,低溶解氧水解酸化和厌氧产甲烷发酵累计时间仅为13 d,甲烷体积分数(69.5±0.2)%,VS产气率为(0.282±0.011)L CH.4g-1VS.研究结果表明,适当延长发酵时间能够增加VFA中乙酸的含量,初始VS浓度差异对发酵液VFA浓度和VS降解率的影响较显著,低溶解氧能够促进猪粪固体有机物水解过程.     

Application of function analysis to bathing areas in the Maltese Islands

On a small island such as Malta where many developers and policy makers place a large emphasis on social use and develoment values, which encourages recreational/industrial development, it is often hard to promote the monetary value of coastal conservation due to strong competition with the large tourism industry. An assessment of the ecological (conservation) and economic (use/development) values of four popular Maltese bathing areas (Mellieha, St. George’s, Ramla and Ghajn Tuffieha Bay) was carried out by evaluating their ability to provide a number of functions. This is dependent on the environments’ inherent characteristics within the context of locally applicable time and space functions. Function Analysis is an innovative technique able to provide a means for assessing changes in environmental quality of an area and evaluating the sustainability of applied management regimes. This paper is a first example of an application of the Functional Analysis approach in Malta. Local application of this technique indicates a need for additional refinement in application to coastal areas. Analysis showed that St. George’s, had the lowest conservation value, Ramla and Ghajn Tuffieha bay had the highest conservation values, Mellieha Bay had high conservation value and use/development potential. In this context, conservation value is understood to reflect values of biodiversity, information/knowledge and environmental quality.     

Effects of surrounding land use and water depth on seagrass dynamics relative to a catastrophic algal bloom

Seagrasses are the foundation of many coastal ecosystems and are in global decline because of anthropogenic impacts. For the Indian River Lagoon (Florida, U.S.A.), we developed competing multistate statistical models to quantify how environmental factors (surrounding land use, water depth, and time [year]) influenced the variability of seagrass state dynamics from 2003 to 2014 while accounting for time‐specific detection probabilities that quantified our ability to determine seagrass state at particular locations and times. We classified seagrass states (presence or absence) at 764 points with geographic information system maps for years when seagrass maps were available and with aerial photographs when seagrass maps were not available. We used 4 categories (all conservation, mostly conservation, mostly urban, urban) to describe surrounding land use within sections of lagoonal waters, usually demarcated by land features that constricted these waters. The best models predicted that surrounding land use, depth, and year would affect transition and detection probabilities. Sections of the lagoon bordered by urban areas had the least stable seagrass beds and lowest detection probabilities, especially after a catastrophic seagrass die‐off linked to an algal bloom. Sections of the lagoon bordered by conservation lands had the most stable seagrass beds, which supports watershed conservation efforts. Our results show that a multistate approach can empirically estimate state‐transition probabilities as functions of environmental factors while accounting for state‐dependent differences in seagrass detection probabilities as part of the overall statistical inference procedure.