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  • 1
    Electronic Resource
    Electronic Resource
    Total chromatographic optimization (TOCO) I. Simultaneous optimization of many variables in liquid chromatography (1990)
    Springer
    Chromatographia 30 (1990), S. 85-90 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Optimization of variables ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The following chromatographic variables are totally optimized based on the recently developed information theory of optimization: mobile phase composition, column length, flow rate, wavelength, and the amount of internal standard. The optimal internal standard is selected from among six candidates. Two types of optimal conditions (Φ- and ϑ-optimals) are proposed: the Φ-optimal is defined as the most precise analysis (the maximal Φ) while the ϑ-optimal is the most efficient (rapid) analysis (the maximal ϑ). The observation times for the determination of an antipyretics mixture (three components) in liquid chromatography are ca. 50 s for the ϑ-optimal and ca. 8 min for the Φ-optimal. The reliability of the Φ- and ϑ-optimals is verified by experiments.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02270454
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    A simple optimization strategy based on Rs-minimum and information theory of chromatography (1990)
    Springer
    Chromatographia 30 (1990), S. 367-370 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Optimization of variables ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary A simple optimization method based on the well-known Rs-minimum method and on the information theory of FUMI Φ is proposed. Resolution (Rs), peak area and height (or width) are the only parameters necessary for the calculation of the information Φ and information flow ϑ. The most precise analysis can be selected as the chromatogram having maximal ϑ. Mobile phase composition, column length, flow rate, detection wavelength, amount of internal standard, etc. can be optimized by this method.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02328499
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Information theory of optimization in chromatography: Analytical structure of optimization (1990)
    Springer
    Chromatographia 30 (1990), S. 371-376 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Optimization of variables ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The analytical roles of chromatographic variables (column length, etc.) can be soundly comprehended and compared in terms of the precision (Φ) of measurements and efficiency (ϑ) of analysis which are described as Shannon information and information flow, respectively. The φϑ plots of the optimization process and the information Φ transmitted by a single peak are useful to understand the analytical structure of optimization. Variables treated here are mobile phase composition (X), column length (L), mobile phase velocity rate (u), detection wavelength (λ) and plate number (N).
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02328500
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    Paper (German National Licenses)
    Fulltext
  • 4
    Electronic Resource
    Electronic Resource
    Total chromatographic optimization (TOCO) II. Precision and efficiency of analysis (1990)
    Springer
    Chromatographia 30 (1990), S. 171-175 
    Details
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Optimization of variables ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary A chromatographic system set at an operating condition takes its own precision and efficiency which are numerically described by the information Φ called FUMI and the information flow ϑ, respectively. Optimization for a variable such as mobile phase composition draws a line in the Φ-ϑ space. This paper demonstrates that optimization of different variables displays different patterns of lines in the Φ-ϑ space. The variables examined here are mobile phase composition, column length, flow rate (velocity) and detection wavelength (or the amount of internal standard). Clear difference in the analytical roles of the variables can be known from the Φ-ϑ plots.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02274541
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    Paper (German National Licenses)
    Fulltext
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