Applying this to the model, and using some typical pH values to solve, yields a breakthrough ŽFigure 7. with a very similar profile to that displayed in Figure 5. Parameters then can be regressed using the nonlinear regression algorithm. The
regression operation was relatively successful, as most cases displayed a coefficient of correlation ŽR2. above 0.9. Components A and B have not been reported here, as component
A was too close to the detection limit of the detector to produce reliable results, and component B displayed different dynamics. Component B had a much larger affinity for the resin than the other components as shown in Table 3. Figure
8 shows the relationship between the mass-transfer coefficient,
k, and the superficial velocity, for components C to F.
Applying this to the model, and using some typical pH values to solve, yields a breakthrough ŽFigure 7. with a very similar profile to that displayed in Figure 5. Parameters then can be regressed using the nonlinear regression algorithm. Theregression operation was relatively successful, as most cases displayed a coefficient of correlation ŽR2. above 0.9. Components A and B have not been reported here, as componentA was too close to the detection limit of the detector to produce reliable results, and component B displayed different dynamics. Component B had a much larger affinity for the resin than the other components as shown in Table 3. Figure8 shows the relationship between the mass-transfer coefficient,k, and the superficial velocity, for components C to F.
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