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  • 1
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Reverse phase ; Optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary An interpretive optimization procedure in which pH can be one of the variables is presented with the emphasis on optimizing separations. When varying the pH in reversed-phase liquid chromatography the retention of ionogenic solutes will change. Thus, the selectivity between ionogenic and neutral solutes or between ionogenic solutes mutually can be optimized. However, pH also greatly affects the efficiency (plate count) and peak shape (asymmetry). Optimum selectivity (i.e. large differences in retention times) may be observed under conditions where peaks are broad and asymmetrical. Thus, it is essential to simultaneously consider retention, peak width and peak shape and their effects on separation (effective resolution) in pH-optimization studies. A procedure in which this is done is presented and applied to optimizing the separation of a synthetic mixture of selected pharmaceuticals. After initial experiments to establish the parameter space (boundaries for pH and binary methanol — water composition), twelve experiments are performed according to a 3×4 experimental design. At each loaction the retention, peak height, peak area and peak symmetry are recorded for each solute. These data are then used to build models for each of the four characteristics and for each solute. From this set of models the response surface, describing the quality of separation as a function of pH and composition, can be calculated. A variety of optimization criteria (quantifying quality of separation) can be used. The optimum corresponds to the highest point on the response surface.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Retention models ; Method development ; pH optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary In this work we establish the basic layout of IONICS, an expert system for optimizing the separation of ionogenic solutes in Reversed-Phase Liquid Chromatography, using the pH and the organic-modifier concentration of the mobile phase as parameters. We also present REMO, a front-end system that automates the retention modelling stage, based on a 9-parameter model. This system uses a scale transformation to suppress several numerical problems previously observed and features a strategy for automatic calculation of an initial approximation to the model optimum. The successful application of this system to a set of seven drugs is described. The final models are accurate and have smaller numerical problems. We also describe the use of a genetic algorithm instead of classical non-linear least-squares for fitting the model to the experimental data. Results indicate that genetic algorithms are a valuable, complementary tool for retention modelling.
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  • 3
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Expert systems ; Optimization of operating parameters
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary Given the mobile and the stationary phase and values for the physical parameters such as temperature and pH, a separation can be optimized by varying the so-calledchromatographic parameters. These include the column dimensions, particle size, operating conditions (e.g. flow rate, attenuation) and instrumentation (e.g. detector cell, time constant). Optimization of the chromatographic parameters implies finding the best possible set of values, which we define as yielding (i) sufficient separation and (ii) sufficient sensitivity in (iii) the shortest possible time. Finding the best possible conditions (the global optimum) is very difficult for chromatographers in practice. An expert system is described that allows chromatographic optimization to be performed for isocratic separations. An initial chromatogram is required to consult the system. In return, the system provides a complete set of chromatographic parameters, which represents the global optimum within the limits set by the required resolution and signal-to-noise ratio specified by the user. The tolerated flow and pressure ranges, the volume of the available detector cells and the time constant of the detection system are constraints during the optimization. A separate module of the system concerns the sample preparation for pharmaceutical formulations in solid dosages and aqueous solutions. Prototype expert systems have been successfully implemented in the expert-system shell Knowledge Craft on a MicroVAX workstation.
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  • 4
    ISSN: 1612-1112
    Keywords: Column liquid chromatography ; Expert systems ; Selectivity optimization ; Optimization criteria
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary Systematic procedures for the optimization of chromatographic selectivity require objective criteria to characterize the quality of separation in a chromatogram. Numerous criteria have been suggested. Different criteria yield different results and the choice will depend on a large number of factors. It is genuinely difficult to select the most suitable criterion in a particular situation. For these reasons, an expert system has been developed to assist chromatographers in the selection of optimization criteria. A structured representation of the required knowledge and its implementation in an expert-system shell are presented in this paper.
    Type of Medium: Electronic Resource
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