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Activated carbon/nanosized CdS/chitosan (AC/n-CdS/CS) composites as adsorbent and photoactive catalyst were prepared under
low temperature (≤60 °C) and ambient pressure. Methyl orange (MO) was chosen as a model pollutant to evaluate synergistic
effect of adsorption and photocatalytic decolorization by this innovative photocatalyst under visible light irradiation. Effects
of various parameters such as catalyst amount, initial MO concentration, solution pH and reuse of catalyst on the decolorization
of MO were investigated to optimize operational conditions. The decolorization of MO catalyzed by AC/n-CdS/CS fits the Langmuir-Hinshelwood
kinetics model, and a surface reaction, where the dyes are absorbed, is the controlling step of the process. Decolorization
efficiency of MO is improved with the increase in catalyst amount within a certain range. The photodecolorization of MO is
more efficient in acidic media than alkaline media. The decolorization efficiency of MO is still higher than 84% after five
cycles and 60 min under visible light irradiation, which confirms the reusability of AC/n-CdS/CS composite catalyst. 相似文献
83.
A simple and rapid strategy to construct laccase biosensor for determination of catechol was investigated. Magnetic multiwalled
carbon nanotubes (MMCNT) which possess excellent capability of electron transfer were prepared by chemical coprecipitation
method. Scanning electron microscope (SEM) and vibrating sample magnetometer (VSM) were used to identify its surfacetopography
and magnetization, respectively. Laccase was immobilized on the MMCNT modified magnetic carbon paste electrode by the aid
of chitosan/silica (CS) hybrid membrane. Using current-time detection method, the biosensor shows a linear response related
to the concentration of catechol in the range from 10−7 to 0.165×10−3 mol/L. The corresponding detection limit is 3.34×10−8 mol/L based on signal-to-noise ratios (S/N) ≥3 under the optimized conditions. In addition, its response current retains
90% of the original after being stored for 45 d. The results indicate that this proposed strategy can be expected to develop
other enzyme-based biosensors. 相似文献
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Prediction of dust fall concentrations in urban atmospheric environment through support vector regression 总被引:1,自引:0,他引:1
Support vector regression (SVR) method is a novel type of learning machine algorithms, which is seldom applied to the development of urban atmospheric quality models under multiple socio-economic factors. This study presents four SVR models by selecting linear, radial basis, spline, and polynomial functions as kernels, respectively for the prediction of urban dust fall levels. The inputs of the models are identified as industrial coal consumption, population density, traffic flow coefficient, and shopping density coefficient. The training and testing results show that the SVR model with radial basis kernel performs better than the other three both in the training and testing processes. In addition, a number of scenario analyses reveal that the most suitable parameters (insensitive loss function e, the parameter to reduce the influence of error C, and discrete level or average distribution of parameters σ) are 0.001,0.5, and 2 000, respectively. 相似文献
90.
在温度为613~693K、压力为20~30MPa的条件下,以去离子水为溶剂在1L间歇式高压反应釜中对塑料和木屑进行共液化研究,实验考察了反应时间、溶剂填充率、温度、催化剂对液化行为的影响。结果表明:木屑的加入能降低塑料液化对高温的要求,共液化能获得较高的液化油收率。在未添加催化剂的情况下,共液化反应在653K的温度下油收率达最大值24.0%,转化率达83.5%,油的热值为44.6MJ/kg。催化剂的使用能降低反应所需要的温度并获得较高的液化油收率以及转化率。研究发现,HZSM-5分子筛的催化作用最为明显。 相似文献