一种硫离子响应杀菌材料的制备及应用研究

目的制备硫离子响应杀菌材料,研究它在不同浓度铜离子条件下的封装效果,以及在不同浓度硫离子条件下的释放行为。方法选择埃洛石纳米管为载体并用透射电镜进行表征、采用真空负载的方式,将甲硝唑和苯骈三氮唑(BTA)分步填充到埃洛石纳米管内部,使用紫外分光光度法测试不同浓度铜离子对纳米管中甲硝唑的封堵效果,以及材料在不同浓度硫离子条件下的释放情况。结果实验中通过调整铜离子浓度发现,铜离子浓度越大对甲硝唑的封堵效果越好,当铜离子浓度达到160 mmol/L时,对甲硝唑的封堵效果最好。杀菌材料在外界硫离子达到0.1mmol/L后,甲硝唑的释放浓度迅速提高,进一步提高硫离子浓度,释放情况改变不明显。结论铜离子浓度达到160 mmol/L时,材料的封装效果是最好的。材料能够对硫离子实现响应释放,且对应的临界浓度为0.1 mmol/L。     

Separation of selected PAHs by using high performance capillary electrophoresis with modifiers

The effect of varying SDS concentration in a micellar electrokinetic capillary chromatographic system (MECC) is investigated. In addition, the introduction of -cyclodextrin as modifier to the electrophoretic medium, containing SDS and a phosphate-borate buffer, is shown to give satisfactory separation of the seven selected PAHs. The separation efficiency is increased with the addition of -cyclodextrin.     

4类噪声标准适用区最佳监测时间研究

以1年的实测数据为分析样本,分别采用误差理论分析及数理统计分析方法,在保证一定精确度前提下确定出反映4类标准适用区噪声水平的最佳监测时间。     

Modeling the spatial pattern of farmland using GIS and multiple logistic regression: a case study of Maotiao River Basin, Guizhou Province, China

Land use change is an important topic in the field of global environmental change and sustainable development. Land use change modeling has attracted substantial attention because it helps researchers understand the mechanisms of land use change and assists regulatory bodies in formulating relevant policies. Maotiao River Basin is located in the province of Guizhou, China, which has a developed agricultural industry in the karst mountain areas. This paper selected biophysical and social–economic factors as independent variables, and constructed a multiple logistic regression of farmland spatial distribution probability by random sampling. Then, by using GIS technology and integrating the 2000 data, this study predicted the farmland spatial pattern. When the predicted map was compared with the actual farmland map for 2000, we noted that 71% of the simulation is in accordance with the 2000 farmland pattern. The result satisfactorily proves the reasonability and applicability of our model.     

Performance evaluation of a sorbent tube sampling method using short path thermal desorption for volatile organic compounds

Air sampling, using sorbents, thermal desorption and gas chromatography, is a versatile method for identifying and quantifying trace levels of volatile organic compounds (VOCs). Thermal desorption can provide high sensitivity, appropropriate choices of sorbents and method parameters can accommodate a wide range of compounds and high humidity, and automated short-path systems can minimize artifacts, losses and carry-over effects. This study evaluates the performance of a short-path thermal desorption method for 77 VOCs using laboratory and field tests and a dual sorbent system (Tenax GR, Carbosieve SIII). Laboratory tests showed that the method requirements for ambient air sampling were easily achieved for most compounds, e.g., using the average and standard deviation across target compounds, blank emissions were < or = 0.3 ng per sorbent tube for all target compounds except benzene, toluene and phenol; the method detection limit was 0.05 +/- 0.08 ppb, reproducibility was 12 +/- 6%, linearity, as the relative standard deviation of relative response factors, was 16 +/- 9%, desorption efficiency was 99 +/- 28%, samples stored for 1-6 weeks had recoveries of 87 +/- 9%, and high humidity samples had recoveries of 102 +/- 12%. Due to sorbent, column and detector characteristics, performance was somewhat poorer for phenol groups, ketones, and nitrogen containing compounds. The laboratory results were confirmed in an analysis of replicate samples collected in two field studies that sampled ambient air along roadways and indoor air in a large office building. Replicates collected under field conditions demonstrated good agreement except for very low concentrations or large (> 41 volume) samples of high humidity air. Overall, the method provides excellent performance and satisfactory throughput for many applications.     

浅谈GAM与GM（1,1）模型

对ＧＡＭ水环境预测模型提出了四点不同看法，与有关作者商榷，指出ＧＭ（１，１）模型与ＧＡＭ模型二者并无优劣之差，精度亦相当。     

改进取样方法提高含油废水中CODcr值的准确度

化学需氧量(CODcr)和石油类都是中国实施水污染物排放总量控制指标,也是环境监测的常测项目.CODcr是反映水体中受还原性物质主要是有机物污染程度的综合性指标.矿物油和动、植物油统称为油类,是废水中常见的有机污染物,对CODcr的贡献较大.探索水体中CODcr值与油类物质含量之间的相关性,对CODcr值准确性的判断有一定指导意义.改进含油废水的取样方法,有利于提高CODcr测定值的准确性和代表性.     

珍贵油料植物诸葛菜的研究

四川大学植物遗传研究室经过几年的调查研究,发现诸葛菜的农艺性状较好,分枝多、角果多,每果子粒多,千粒重较重,含油量较高,特别是油分品质优异,其营养价值高的脂肪酸如油酸和亚油酸的含量较高,分别为20.32％,和53.17％,其营养价值低的脂肪酸如亚麻酸和芥酸的含量较低,分别为4.76％和0.94％,是油菜优质育种的优异新种源,可以作为油菜远缘杂交育种亲本,并可能选育出优质油料新作物。本文对诸葛菜的开花授粉习性作了观察,对核型特点作了分析,可供育种工作的参考,诸葛菜主产中国。四川大学在国内外首先推荐这种有希望的油料新种源。     

New method for determination of arsenic contentin tail gases during semiconductor processing

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活性污泥法的多变量最优控制Ⅲ.限制最高和同时限制平均与最高出水BOD浓度

在前文的基础上,进一步研究了更常用的在限制最高和同时限制平均与最高出水有机物浓度两种排放标准的约束条件下,使其运行费用最省的最优周期控制问题.计算结果都表明,最优控制变量QW和DO的变化规律都尽可能使其满足约束条件和节省运行费用,但是,当进水负荷变化幅度非常大时,任何控制也难于使出水水质达标,而运行费用还会大幅度增大.相对而言,同时限制平均与最高出水BOD浓度是更合理的排放标准,它既有利于污水处理厂的运行管理又能有效地保护受纳水体.初始状态S(0)对最优控制的影响不大.而X(0)的影响较大,在本研究中,X(0)的最优值在2400-2600mg/L范围内.