Arenetricarbonyl metal complexes ([-phM(CO)3-] and [-biphM(CO)3-]; ph = phenylene, biph = biphenylene, M = Mo, Cr) constructed within Zr-based MOFs act as highly active and selective catalysts for epoxidation of cyclooctene. Catalytic activities of these complexes are enhanced with increasing the pore sizes of Zr-based MOFs.
An analyticalsystem, in which a combination of two-stage HPLC and field ionization-mass spectrometry (FI-MS) are used and the results being processed with a computer, was applied to obtaining information on main chemical components contained in vacuum residue derived from crude oil. In the present study, a high degree of analytical accuracy, more so than in case of coal tar or coal derived liquids, should be strived for, because vacuum residue contains more complex chemical components.The sample oil, vacuum residue derived from Arabian crude oil, was preseparated into 4 fractions by HPLC on silica gel columns, followed by further separation into totally 22 subfractions on cyano columns or ion-exchange resins.The data obtained from FI-MS analysis of all subfractions were presented in a tabular form with 14 columns by the computer so that members of any homologous series appear in the same column.The components in sample oils were classified into identifiable 75 compound classes. Based on these analytical data, the ratio of elements, number average molecular weight and aromaticity of the vacuum residue were calculated, which values being compared with measured values in order to evaluate the validity of the present analytical system.
For the purpose of obtaining information on chemical components of coal tar, a method combining the use of HPLC and field ionization-MS (FI-MS), together with the computer, was developed to conveniently characterize coal derived liquids. Separation by HPLC is carried out by connecting to the cyano column, a pack with sample-deposited teflon powder. By supplying the various carriers having gradually increased polarity, 4 fractions were obtained with single stage chromatography. Assuming the and aromatic rings as the apparent unsaturated extent to define the U, the FI-MS data were presented in a tabular form with 14 columns by the computer so that members of any homologous series appear in the same column. The components in coal tar were classified into about 40 identifiable chemical types. The values of the ultimate analysis and the 1H-NMR analysis were used supplementally for identifying the components by each chemical type.
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