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…     

介孔纳米TiO2的超声化学法合成及其表征

采用超声化学法制备介孔TiO2，并采用XRD，TEM，FT-IR等方法对样品进行了表征．结果表明，在超声波作用下，液相体系中能够一步合成锐钛矿相TiO2；添加有机模板剂并控制实验条件，则能直接合成具有介孔结构的锐钛矿相TiO2．超声化学法能更好地控制粒子的形貌和尺寸，所制备的TiO2晶型完整，孔径均匀，分散性好．     

建筑生态环境质量评价的定量研究

建筑学的发展体现了社会对建筑物的新要求，一方面表现对建筑物与环境的适宜性上的要求；另一方面表现在对建筑物的评价定量化要求。引入系统工程理论，将建筑与环境结合起来，初步研究影响建筑物利用诸因子的影响力，并从中提取主导要素建立建筑生态环境质量评价体系，定量分析，为实践服务。     

带希夫碱和酰肼基团的壳聚糖螯合树脂的合成及其吸附性能

本文利用壳聚糖Ｃ２位上活泼氨基与水杨醛进行大分子反应，再以环硫氯丙烷作交联剂，合成了带有邻羟基希夫碱基团的交联型壳聚糖螯合树脂；利用带有游离氨基的交联壳聚糖与丙烯腈进行大分子反应，合成了带有氰基的功能聚合物，再由ＣＴ－ＣＮ与水合肼进一步反应，制得了带有酰肼基轩物壳聚糖螯合树脂。     

垃圾填埋场渗滤液地下原位脱氮技术综述

氨氮是城市垃圾厌氧填埋过程中产生的常见的污染物。由于氨氮的持久性和生物毒性,生活垃圾填埋场渗滤液中氮的脱除已引起了人们的高度关注。文中结合国内外的研究现状的基础,论述了厌氧渗滤液回灌、强制通风好氧填埋、准好氧填埋和生物反应器填埋四种垃圾渗滤液原位脱氮处理技术的原理、技术特点、工程投资、运行成本以及处理效果等;指出了垃圾填埋场渗滤液原位脱氮技术的未来研究重点:填埋场内脱氮机理和脱氮速率的深入研究、工艺控制优化研究以及生物反应器填埋的实际应用设计研究。     

A straightforward synthesis in aqueous medium of enantiomerically enriched S(-)2,2′-dihydroxy-1,1′-binaphthyl

Chiral, atropisomeric 2,2'-dihydroxy-1,1'-binaphthyl has been extensively used to direct asymmetric processes. Its key role in asymmetric catalysis has spurred efforts to synthesize it in the optically pure form, but the reported synthetic routes have a significant environmental impact. In an aqueous peroxydase-cyclodextrin system the oxidative coupling of 2-naphthol took place very rapidly in almost quantitative yield and resulted in an enantiomeric excess. This one-pot synthesis do not require any organic solvents and oxidising metal cations.     

Increasing the microbial activity in activated sludge by the phenomenon of 'biological resonance

Mechanical oscillations as well as electrical oscillations (e.g. in an electrical oscillatory circuit) can lead to resonance conditions by external agitation with the natural frequency of the system. During the microbial protein synthesis, the induction and repression mechanisms also cause oscillations in the form of varying protein concentrations. The aim of this work concentrates on an induced resonance case of the biological system, comparable with physical resonance phenomena, by external periodic stimulations. For this, system theoretical computer simulations with a structured genetic model were carried out, which built the theoretical fundament for describing the effect of 'Biological Resonance'. Based on that, lab-scale experiments using a mixed microbial culture (activated sludge) and skimmed milk as an inducing substrate revealed an enhanced microbial productivity of around 60%-75% compared to values of the productivity under steady-state conditions in a narrow range of process parameters. The optimum (resonance case) was confirmed by a repetition of the variation experiments and is characterised by a substrate supply period of approx. 18 min and a following starvation period of about 9 min. Long-term investigations under optimised process conditions indicate adaptation mechanisms of the microorganisms to evade the imposed stress conditions. The productivity will not remain constant without additional stimulation and declines to its original level. However, temporal modulation of the starvation period permanently increases the productivity (elevated catabolism) to about 60%, which was observed over a period of several weeks.     

氯化消毒副产物2,2,4-三氯-5-甲氧基-环戊-4-烯-1,3-二酮的合成及结构确认

以七氯丙烷为原料,合成了氯化消毒副产物--2,2,4-三氯-5-甲氧基-环戊-4-烯-1,3-二酮(TCMCD),总收率为13%,产品纯度在98%以上.通过质谱、核磁共振、红外光谱等对TCMCD进行表征,进一步确认了副产物的结构.     

哌嗪氨基二硫代甲酸型螯合树脂的合成及其吸附性能

用哌嗪和二硫化碳反应合成氨基二硫代甲酸中间体，再与二卤代烃反应得到1，4-双(二硫代酯基)哌嗪聚合物，考察了中间体和螯合树脂对Ag^ ，Cu^2 ，Zn^2 ，Ni^2 ，CO^2 ，Pb^2 ，Pd^2 ，Cr^3 的静态吸附性能，结果表明，两者均可以吸附金属离子，缩聚后的螯合树脂具有更强的吸附能力。     

A Bayesian strategy for combining predictions from empirical and process-based models

We present a strategy for using an empirical forest growth model to reduce uncertainty in predictions made with a physiological process-based forest ecosystem model. The uncertainty reduction is carried out via Bayesian melding, in which information from prior knowledge and a deterministic computer model is conditioned on a likelihood function. We used predictions from an empirical forest growth model G-HAT in place of field observations of aboveground net primary productivity (ANPP) in a deciduous temperate forest ecosystem. Using Bayesian melding, priors for the inputs of the process-based forest ecosystem PnET-II were propagated through the model, and likelihoods for the PnET-II output ANPP were calculated using the G-HAT predictions. Posterior distributions for ANPP and many PnET-II inputs obtained using the G-HAT predictions largely matched posteriors obtained using field data. Since empirical growth models are often more readily available than extensive field data sets, the method represents a potential gain in efficiency for reducing the uncertainty of process-based model predictions when reliable empirical models are available but high-quality data are not.