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  • 1
    Electronic Resource
    Electronic Resource
    Microcomputer-assisted retention prediction system in reversed-phase HPLC (1984)
    Springer
    Chromatographia 18 (1984), S. 211-215 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Alkylbenzenes ; PAHs ; Retention prediction ; Microcomputer
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The microcomputer-assisted retention prediction system in C18 reversed-phase HPLC is described. The system is based on the use of the hydrophobic parameter and the correlation factor of alkylbenzenes and polycyclic aromatic hydrocarbons (PAHs) which are highly correlated to their retention in reversed-phase HPLC. The system is evaluated by comparing the retention data between measured and predicted values. One of the typical examples applied for PAH analysis in the extracts of diesel particulate matter shows the high potential of the system investigated.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02276735
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  • 2
    Electronic Resource
    Electronic Resource
    Retention prediction of substituted benzenes in reversed-phase HPLC (1984)
    Springer
    Chromatographia 18 (1984), S. 90-95 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Reversed phase ; Retention prediction ; Substituted benzenes ; Molecular parameters
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The separation of substituted benzene derivaties on a reversed-phase C-18 column has been examined. The correlations between the logarithm of the capacity factor and several descriptors indicating the molecular size, shape and the physical properties of a solute were determined. The results indicated that hydrophobicity is the dominant factor to control the retention of substituted benzenes. Their retention in reversed-phase HPLC can be predicted with help of the equations derived by multicombination of the parameters.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02268464
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    Paper (German National Licenses)
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