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Titration nonlinear method

Figure 7. Covariability between values of C and Kd yielding best fit of diprotic surface hydrolysis model with constant capacitance model to titration data for TiC>2 in 0.1 M KNOj (Figure 5). The line is consistent with Equation 29. The crosses represent values of C and log found from a nonlinear least squares (NLLS) fit of the model to the data, with the value of capacitance imposed in all cases the fit was quite acceptable. The values of and C found by Method I (Figure 6) also fall near the line consistent with Equation 29. The agreement between these results supports the use of the linearized model (Equation 29) for developing an intuitive feel for surface reactions. Figure 7. Covariability between values of C and Kd yielding best fit of diprotic surface hydrolysis model with constant capacitance model to titration data for TiC>2 in 0.1 M KNOj (Figure 5). The line is consistent with Equation 29. The crosses represent values of C and log found from a nonlinear least squares (NLLS) fit of the model to the data, with the value of capacitance imposed in all cases the fit was quite acceptable. The values of and C found by Method I (Figure 6) also fall near the line consistent with Equation 29. The agreement between these results supports the use of the linearized model (Equation 29) for developing an intuitive feel for surface reactions.
Figure 1. GMP (A) and MgATP (B) titrations of Y50F measured by proton NMR. The dotted lines were obtained by nonlinear least-square fit of the data as described in Materials and Methods. Figure 1. GMP (A) and MgATP (B) titrations of Y50F measured by proton NMR. The dotted lines were obtained by nonlinear least-square fit of the data as described in Materials and Methods.
A second nonlinear fluorescence quenching data treatment method developed by Ventry and Ryan may also be used to extract conditional stability constants, and ligand concentrations from titrations of FA with Cu (23). The model designed is a modification of the original Stem-Volmer theory defined by equation 7 which accounts for either static or dynamic quenching of fluorescent species. [Pg.113]

Nonlinear Least Square Data Treatment of NMR Titration Method... [Pg.40]

The above-mentioned nonlinear least square method for the case with two parameters (a,j8) is the basic one and easily extended to the cases with more parameters. Considering the possibility of obtaining the reliable Sh of this NMR titration experiment, data treatment should be carried out with three parameters for the better regression. The programs of spreadsheet software for this three-parameters-method are developed and shown in Appendix 2.4 [24]. [Pg.44]

The results of uncontrolled trials should be discussed to the extent that they provide supportive evidence of effectiveness. This is followed by an analysis of dose-response or blood level-response information. This section should include (a) an integrated summary and analysis of all data, from animal, pharmacokinetic, pharmacodynamic, and other clinical pharmacol ogy trials, and from controlled and uncontrolled clinical trials that bear a dose-response or blood level-response relationship to effectiveness, (b) the method of dose selection, and (c) the choice of dose interval. Data that support the dosing recommendation proposed in labeling, including the recommended starting and maximal doses, the method of dose titration, and other methods regarding individualization of dosage also should be discussed. Any deviations from relatively simple dose-response or blood level-response relationships due to nonlinearity of pharmacokinetics, delayed effects, tolerance, etc., as well as limitations of the data, should be described. [Pg.130]

Titration Curves. Generally it can be expected that if a low-frequency conductance titration can be performed, a high-frequency one can also. However, the cell size, ionic strength of the solution, and frequency needed to give a good endpoint are variables that must be determined by trial and error. Even after the best conditions are found, the curves obtained may be nonlinear and show little response. However, if an endpoint can be found, there is a definite advantage to a method in which no... [Pg.134]

For example, one method of dealing with the highly nonlinear problem of pH control is to split the titration curve shown in Figure 3.49 into several linear sections. As the pH measurement moves between sections the controller would be configured to use a different process gain. [Pg.79]

More often than not the pH controller is manually tuned. A closed-loop damped oscillation method is favored because the controller can already be oscillating, it forces the user to back off on reset action and to first find the controller gain, it includes any special features of manufacturer s FID algorithms and the dead time from valve dead-band and stick-slip, and it can be used to tune a master controller for an oscillating secondary loop. However, it is critical to remember that this is a damped oscillation method and the nearly equal amplitude oscillations normally associated with this method must be avoided because these can be caused by a limit cycle from valve stick-slip or the nonlinearity of the titration curve. Many users see a limit cycle and think they have the ultimate gain when in reality these cycles are caused by a wide range of controller gains. [Pg.201]


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