The Effect of Sulfate Ion on the Isomerization of n-Butane to iso-Butane

The effect of sulfate ion (SO42-) loading on the properties of Pt/SO42- -ZrO2 and on the catalytic isomerization of n-butane to iso-butane was studied. The catalyst was prepared by impregnation of Zr(OH)4 with H2SO4 and platinum solution followed by calcination at 600℃. Ammonia TPD and FT-IR were used to confirm the distribution of acid sites and the structure of the sulfate species. Nitrogen physisorption and X-ray diffraction were used to confirm the physical structures of Pt/SO42--ZrO2. XRD pattern showed that the presence of sulfate ion stabilized the metastable tetragonal phase of zirconia and hindered the transition of amorphous phase to monoclinic phase of zirconia. Ammonia TPD profiles indicated the distributions of weak and medium acid sites observed on 0.1 N and 1.0 N sulfate in the loaded catalysts. The addition of 2.0 N and 4.0 N sulfate ion generated strong acid site and decreased the weak and medium acid sites. However, the XRD results and the specific surface area of the catalysts indicated that the excessive amount of sulfate ion collapsed the structure of the catalyst. The catalysts showed high activity and stability for isomerization of n-butane to iso-butane at 200℃under hydrogen atmosphere. The conversion of n-butane to iso-butane per specific surface area of the catalyst increased with the increasing amount of sulfate ion owing to the existence of the bidentate sulfate and/or polynucleic sulfate species ((ZrO)2SO2), which acts as an active site for the isomerization.     

VPO催化氧化正丁烷反应动力学

VPO催化氧化正丁烷制顺酐是目前唯一实现工业化的低碳烷烃选择氧化反应。本文介绍了VPO催化机理和主要的反应网络,综述了国内外反应动力学的研究进展情况。根据人们对正丁烷氧化反应机理的不断认知及动力学模型的完整性,首次将正丁烷氧化制顺酐反应动力学的发展分为探索期、成型期和拓展期三个时期,并阐释了每个时期的特征和典型模型。探索期特征是仅考虑反应物在催化剂表面的吸附行为,成型期特征是充分考虑了产物对反应的抑制作用,拓展期特征是考虑了催化剂氧化度不断变化的动态过程并将不同氧气形式之间的相互变化引入动态模型中。从时空多尺度角度研究动力学和传递之间的相互作用是正丁烷选择氧化反应动力学下一步的研究重点,也是未来动力学研究的发展方向。     

Hybrid Monte Carlo with adaptive temperature in mixed-canonical ensemble: Efficient conformational analysis of RNA

A hybrid Monte Carlo method with adaptive temperature choice is presented that exactly generates the distribution of a mixed-canonical ensemble composed of two canonical ensembles at low and high temperature. The analysis of resulting Markov chains with the reweighting technique shows an efficient sampling of the canonical distribution at low temperature whereas the high temperature component facilitates conformational transitions, which allows shorter simulation times. The algorithm is tested by comparing analytical and numerical results for the small n-butane molecule before simulations are performed for a triribonucleotide. Sampling the complex multiminima energy landscape of this small RNA segment, we observe enforced crossing of energy barriers. © 1998 John Wiley & Sons, Inc. J Comput Chem 19: 1689–1697, 1998