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  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Analytica Chimica Acta 277 (1993), S. 325-331 
    ISSN: 0003-2670
    Keywords: FUMI ; Information theory ; Liquid chromatography ; Mutual information function ; Titrimetry
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Chromatographia 37 (1993), S. 149-155 
    ISSN: 1612-1112
    Keywords: General chromatography ; Optimization ; Information theory ; Optimized resolution ; MEKC
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The influences of micelle concentration, applied voltage and temperature on the precision and throughput of analysis are studied. The precision is the Shannon mutual information and the throughput is the transmission speed of the information (=information divided by analysis time). The dependence of the precision and throughput on the peak shape, resolution Rs and run time is examined in various operating conditions. The most precise analysis (indicated by the maximum of the information) and the highest throughput analysis (the maximum of the transmission speed) are selected and their analytical importance is discussed.
    Type of Medium: Electronic Resource
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  • 3
    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
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Chromatographia 30 (1990), S. 367-370 
    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
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  • 5
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Optimization ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The influence of variables Z (mobile phase composition X, column length L, etc.) on chromatographic analysis is studied in terms of the two separate stages of the whole optimization process. In the first stage, peak separation is the central concern and the resolution Rs can be related to Shannon information φj of peak $$j:\frac{{\partial \phi _j }}{{\partial Z}} = C\frac{{\partial R_s }}{{\partial Z}}$$ where C is a coefficient (〉0). In the second stage, only chromatograms with no peak overlap are considered and Rs is not connected with φj. The analytical role of Z is evaluated by comparing the signs and magnitudes of the derivatives of the information, φj, and its transmission rate, ϑj, with respect to Z in both stages.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Chromatographia 29 (1990), S. 446-448 
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Optimization ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The quality of a chromatogram can be numerically characterized by a set of the information functions (Φ, δΦ, ΔΦ) where Φ is called FUMI, δΦ is the information loss, and ΔΦ is the information variation. A chromatogram can be expressed as a point in the space (Φ, δΦ, ΔΦ) and change in a parameter such as wavelength shift draws a curved line in the space. Optimization processes of different parameters display different patterns of lines in the space. Two types of optimization in the space are demonstrated for the analysis of an antipyretics mixture by liquid chromatography. The method used here may lead to a new aspect of optimization theory in chromatography.
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Information theory ; Stationary phases ; Optical resolution of amino acids
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary Naphthylethylurea multiple-bonded chiral stationary phases prepared for the optimal resolution of p-bromophenylcarbamyl derivatives of enantiomeric amino acids are examined from the viewpoint of information theory. The criterion used is the function of mutual information (FUMI) which describes the precision of analysis as a function of peak shape (area and width), overlap and noise level. The length of the polyethyleneamine spacer in the chiral stationary phases is evaluated by the precision (FUMI) calculated from the peak shape and overlap. The best column is defined as the one which gives the highest precision. The temperature effect on the precision is also examined.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Optimization ; Information theory ; Kalman filter ; Retention prediction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary This paper treats optimization problems involving unresolved component peaks with the information measure FUMI (Function ofMutualInformation) as a criterion. The LC analysis of 20 PTH-amino acids is taken as an example of the optimization of mobile phase composition, column length and temperature. The quantitative structure-retention relationship is adopted for the simulation and for the establishment of feasible solutions of the problems. The applicability of the FUMI theory is further extended by solving the above optimization problems.
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Optimization ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary The influence of mobile phase composition X on the precision of liquid-chromatographic analysis is interpreted in terms of the derivate of the mutual information φ for peak j with respect to X, dφj/dX. The sign and magnitude of dφj/dX depend on the operational conditions of X or on the details of chromatograms (e.g., resolutions Rs), but dφj/dX always indicates the direction of X toward more information φj. The sensitivity function sj(=1/(kj+1)) is examined on the basis of information theory. Optimization is formulated as a nonlinear programming problem.
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 1612-1112
    Keywords: Chromatography, general ; Optimization ; Information theory ; Kalman filter
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary If a peak (j=2) moves along the time axis of a chromatogram with no change in the position τ1 of the other peak (j=1) or in areas A1 and A2, the optimum separation, Řs, is defined as the resolution Rs which provides the maximum information, called FUMI, among all possible positions τ2 of the peak (τ2≥τ1). This paper demonstrates that optimum separation, Řs, of chromatographic peaks critically depends on the peak areas. As the area ratio A2/A1 of overlapped peaks increases, greater separation (higher resolution Rs) is needed to obtain maximum information. The quantitative relationship between Řs and A2/A1 is derived by computer simulation.
    Type of Medium: Electronic Resource
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