氧化镧离子电极的研制

将氧化镧混合在不同母体材料中,研制出几种类型的氧化镧离子电极,并研究了电极的性能。首次发现,电化学聚合的含有氧化镧的聚吡咯薄膜可以作为镧离子选择性电极膜。还发现,虽然都用同一种活性材料,各种电极随母体材料不同其性能有所不同.最佳电极线性范围为1×10~(-1)～1×10~(-5)mol/L。内充液式和石墨为基底的镧离子选择电极,适宜的pH范围为2.8～6.1。以二次标准加入法测定已知样品,结果比较理想。

辐射法研制功能高分子膜离子选择电极活性材料

用辐射接枝工艺合成了功能高分子膜活性材料,并对其进行了表征,测定了以此为活性材料的离子选择电极性能。结果发现,硫酸根电极在10~(-1)—10~(-3)mol/L Na_2SO_4溶液中响应时间<70s,斜率为52mV/PSO_4~(2-);氯离子电极的线性范围1×10~(-1)—2×10~(-4)mol/L,检测下限为8×10~(-5)mol/L,稳定性好,寿命长,响应时间<5s,内阻<60kΩ,抗毒化能力强。从稀土离子选择电极中发现,以辐射接枝工艺合成的材料比化学法合成的好,前者斜率为53 mV/PGd,后者斜率为46 mV/PGd;预辐照接枝工艺合成的材料比共辐照接枝工艺的好些。

新型导电聚合物——聚吡咯溴离子化学传感器

本文用电化学方法把导电聚合物聚吡咯(PPy)修饰在玻碳(GC)电极上,研究了Br~-离子的掺杂效应和薄膜电极的电化学行为,研制一种新型Br~-离子选择电极,电极的响应机制是基于导电聚合物中阴离子的掺杂效应,详细研究了聚合条件对电极电位响应性能的影响,电极具有内阻小、响应快、抗毒化能力强、制备简便等优点,电极对1×10~(-1)—1×10~(-4)MBr~-呈能斯特响应,检测下限7×10~(-5)M,斜率61mV/PBr~-。本文结果是化学修饰电极技术在化学传感器方面应用的有意义的尝试。薄膜的良好导电性质使之更易于制备离子敏感电子学器件和生物电子学器件。

用ICP-AES法测定高纯氧化铥中十四种稀土杂质

本文研究了ICP-AES法测定高纯氧化铥中十四种其它稀土杂质的方法。研究了有机溶剂的影响,加热去溶效果等。确定了折衷工作条件。本方法可以测定99.99%高纯氧化铥中十四种稀土杂质,回收率为82.5-110%相对标准偏差为1.9-9.3%。

铒离子选择电极的研制

在功能高分子稀土电极研制的基础上改进活性材料制备过程,成功的试制了新型的铒电极,其线性范围1×10~(-1)M～1×l10~(-5)M,检测下限达1×10~(-5)M,在室温下斜率为59mV,内忸小于200kΩ,性能稳定,寿命在6个月以上,并能在有缓冲液存在下测量稀土。

Molecular dynamics-based approach to study the anisotropic self-diffusion of molecules in porous materials with multiple cage types: Application to H-2 in losod

Van den Berg, A. W. C., Flikkema, E., Lems, S., Bromley, S. T., Jansen, J. C. (2006). Molecular dynamics-based approach to study the anisotropic self-diffusion of molecules in porous materials with multiple cage types: Application to H-2 in losod. Journal of physical chemistry b, 110 (1), 501-506. RAE2008

The Spirit of Proclamation

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What To Trust

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Love and the Spirit

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While the Lord May Be Found

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Calling and Sending

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Computational modelling-a key component in materials processing

Computational analysis software is now widely accepted as a key industrial tool for plant design and process analysis. This is due in part to increased accuracy in the models, larger and faster computer systems and better graphical interfaces that allow easy use of the technology by engineers. The use of computational modelling to test new ideas and analyse current processes helps to take the guesswork out of industrial process design and offers attractive cost savings. An overview of computer-based modelling techniques as applied to the materials processing industry is presented and examples of their application are provided in the contexts of the mixing and refining of lead bullion and the manufacture of lead ingots.