铁1,10-菲咯啉/MCM-41催化苯酚羟化反应的研究

MCM-41分子筛是最近美国Mobil公司开发出的一种新材料,其孔径范围在2.0～25nm之间,具有较大的Si/Al比和大的比表面积及孔隙率,孔道大小均匀.其对弱极性的环状及芳族化合物具有较大的吸附能力.自这种新型分子筛合成以来,才开始应用于石油炼制及烯烃裂解,歧化的研究.至今还没有关于将MCM-41作为载体,用于负载金属配合物催化剂的报道.本文利用自己合成的MCM-41分子筛作为载体,制成了负载铁的1,10-菲咯啉配合物催化剂(简记FePhen/MCM-41),并将其应用于苯酚的羟化反应,发现其对苯酚的羟化反应具有较好的催化性能.1 实验部分1.1 FePhen/MCM-41的制备将参考文献[3]制得的MCM-41分子筛,取5g放入200mL0.05mol/L的[Fe(Phen)_3]Cl_2乙醇溶液中,室温搅拌24h,抽滤,所得固体用乙醇洗涤3次,以除去MCM-41分子筛表面和孔道内结合不牢的金属配合物.利用原子吸收光谱分析仪,测得负载催化体系中铁元素的含量为0.65%.1.2 MCM-41分子筛及FePhen/MCM-41的表征

YP_5O_(14):Er~(3+),Tm~(3+)晶体的合成

研究了水热法合成晶体,浓度配比、生长温度对晶体生长习性的影响.合成了一系列化学计量比的Y_(1-x-0.3)Er_(0.3)Tm_xP_5O_(14)(x=0.01～0.1)晶体,观察和分析了晶体的缺陷及成因,测定和讨论了晶体结构.

稀土HEH[EHP]固体配合物的红外光谱

本文制备了La,Ce,Pr,Nd,Sm,Eu,Gd,Tb,Dy,Ho,Er,Tm,Yb,Lu,Y等十五种稀土与2-乙基己基膦酸单(2-乙基己基)酯的固体配合物,测定了4000-100cm~(-1)的FT-IR光谱,对其主要红外光谱吸收带进行了归属。指认150cm~(-1)为Ln-O键的伸缩振动带,250cm~(-1)附近的谱带为COPO,CCPO骨架扭曲振动与Ln-O键的耦合振动带。结果表明配合物为多聚体系,PO_2与稀土离子可能为桥式配位形式。Ln-O键基本上为离子键。

Synthesis and characterization of manganese-modified MCM-41

Manganese-modified mesoporous MCM-41 molecular sieves were synthesized at the absence of alkaline metal ions under mild alkaline condition using cetylpyridinium bromide surfactant as a template, and characterized with X-ray diffraction, N-2 adsorption, transmission electron microscopy, electron spin resonance (ESR), and nuclear magnetic resonance (NMR) spectroscopies. The synthesized MnMCM-41 has a high pore volume of 1.30 cm(3) g(-1) with a corresponding surface area of 1510 m(2) g(-1). The ESR and Si-29 MAS NMR spectra revealed the presence of framework manganese ions in either the as-synthesized or calcined forms. (C) 2002 Elsevier Science B.V. All rights reserved.

Trajectory Mapping ("TM''): A New Non-Metric Scaling Technique

Trajectory Mapping "TM'' is a new scaling technique designed to recover the parameterizations, axes, and paths used to traverse a feature space. Unlike Multidimensional Scaling (MDS), there is no assumption that the space is homogenous or metric. Although some metric ordering information is obtained with TM, the main output is the feature parameterizations that partition the given domain of object samples into different categories. Following an introductory example, the technique is further illustrated using first a set of colors and then a collection of textures taken from Brodatz (1966).