To be able to design a J-type centrifuge for a given need, a method of being able to predict peak elution is required. Predicting peak elution will also allow the user to optimise the process parameters for his or her needs. Such predictions require an accurate knowledge of the volume of the stationary phase retained in the coil for a given set of operating conditions. This paper builds upon an experimental relationship in that the stationary phase retention decreases proportionally to the square root of the mobile phase flow rate. Combining this experimental relationship with the hypothesis that the pressure drop across a coil is independent of
As countercurrent chromatography (CCC) is becoming an established method in chromatography for scaling from analytical CCC in the laboratory to full process scale in the industrial manufacture of products, it is becoming increasingly important to model the process and to be able to predict coil=column scale-up parameters for a given process. This paper offers a method of modelling CCC on the basis of an eluting countercurrent distribution (CCD) model. The model confirms that peak width in CCC varies in proportion to the square root of the length of the column, establishes a formula predicting peak width in terms of retention factor and retention time, and provides a method for determining the efficiency of a given CCC instrument. This allows, for the first time, the mixing efficiency of different CCC approaches and=or devices to be compared and perhaps, more importantly, predictions to be made that are outside the current operating parameters of existing CCC instrumentation. This will greatly assist in the design of new equipment, particularly in scale-up, and will also help users optimize the results from their CCC instruments.
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