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Evaluation of kinetic parameters

In order to estimate the values of the kinetic parameters, we need to make a series of batch runs with different levels of substrate concentration. Then the initial reaction rate can be calculated as a function of initial substrate concentrations. The results can be plotted graphically so that the validity of the kinetic model can be tested and the values of the kinetic parameters can be estimated. [Pg.22]

The Lineweaver-Burk plot is more often employed than the other two plots because it shows the relationship between the independent variable Cs and the dependent variable r. However, 1/r approaches infinity as Cs decreases, which gives undue weight to inaccurate measurements made at low substrate concentrations, and insufficient weight to the more accurate measurements at high substrate [Pg.23]

Another approach for the determination of the kinetic parameters is to use the SAS NLIN (NonLINear regression) procedure (SAS, 1985) which produces weighted least-squares estimates of the parameters of nonlinear models. The advantages of this technique are that (1) it does not require linearization of the Michaelis-Menten equation, (2) it can be used for complicated multiparameter models, and (3) the estimated parameter values are reliable because it produces weighted least-squares estimates. [Pg.24]

In conclusion, the values of the Michaelis-Menten kinetic parameters, rmax and KM, can be estimated, as follows  [Pg.25]

Make a series of batch runs with different levels of substrate concentration at a constant initial enzyme concentration and measure the change of product or substrate concentration with respect to time. [Pg.25]

Rate data can be used to postulate a kinetic sequence for a particular catalytic reaction. The general approach is to first propose a sequence of elementary steps consistent with the stoichiometric reaction. A rate expression is derived using the steady-state [Pg.171]

Case 1. If the rate of adsorption is rate determining, then the forward rate of reaction can be simplified to two steps  [Pg.172]

The equilibrium constant is written such that Kzs. is large when [A ] is large. Combining Equations (5.4.1-5.4.3) results in the following expression for the forward rate  [Pg.172]

Case 2. If the surface reaction is rate-determining, the following sequence for the forward rate is appropriate  [Pg.172]

This particular sequence assumes both A and B are present on the surface in ki-netically significant amounts. The rate expression for this case is  [Pg.173]


In evaluation of kinetic parameters, the double reciprocal method is used for linearisation of the Michaelis-Menten equation (5.7.3). [Pg.109]

Singapore) was obtained for estimates Vmax and Km of free lipase reaction and and K p and for immobilised lipase reaction. Hanes-Woolf and Simplex methods were used for the evaluation of kinetic parameters owing to their strength in error handling when experimental data are subject to random errors.5... [Pg.131]

The techniques referred to above (Sects. 1—3) may be operated for a sample heated in a constant temperature environment or under conditions of programmed temperature change. Very similar equipment can often be used differences normally reside in the temperature control of the reactant cell. Non-isothermal measurements of mass loss are termed thermogravimetry (TG), absorption or evolution of heat is differential scanning calorimetry (DSC), and measurement of the temperature difference between the sample and an inert reference substance is termed differential thermal analysis (DTA). These techniques can be used singly [33,76,174] or in combination and may include provision for EGA. Applications of non-isothermal measurements have ranged from the rapid qualitative estimation of reaction temperature to the quantitative determination of kinetic parameters [175—177]. The evaluation of kinetic parameters from non-isothermal data is dealt with in detail in Chap. 3.6. [Pg.23]

The above brief analysis underlines that the porous structure of the carbon substrate and the presence of an ionomer impose limitations on the application of porous and thin-layer RDEs to studies of the size effect. Unless measurements are carried out at very low currents, corrections for mass transport and ohmic limitations within the CL [Gloaguen et ah, 1998 Antoine et ah, 1998] must be performed, otherwise evaluation of kinetic parameters may be erroneous. This is relevant for the ORR, and even more so for the much faster HOR, especially if the measurements are performed at high overpotentials and with relatively thick CLs. Impurities, which are often present in technical carbons, must also be considered, given the high purity requirements in electrocatalytic measurements in aqueous electrolytes at room temperature and for samples with small surface area. [Pg.523]

Earlier studies generally involved the evaluation of kinetic parameters of reactions which are accompanied by single-electron charge transfer.116 Some reactions involving two-electron charge transfer were also studied, assuming either that both electrons are transferred in a single step or that the slower step in the two-step reaction is in overall control of the rate process. As described in this chapter for the first time, the faradaic rectification theory for... [Pg.247]

In agreement with (6), regression of dye concentration data measured at the beginning of the test makes it possible to relate the dye conversion rate to the conditions set in the reactor at the beginning of the test. Changing the initial conditions of the tests enables the evaluation of kinetic parameters. [Pg.113]

The electrochemical properties of Cd(II) complexes with inorganic ligand presented in early papers were discussed by Hampson and Latham [72]. Later, electrochemical investigations of cadmium complexes were oriented on the mechanism of complex formation, determination of stoichiometry and stability constants, mechanisms of reduction on the electrodes, and evaluation of kinetic parameters of these processes. The influence of ligands and solvents on stability and kinetic parameters of electroreduction was also studied. [Pg.775]

Most industrially relevant transformation processes are not isothermal and even in a controlled laboratory environment, it is difficult to perform experiments that are completely isothermal. The kinetics of nonisothermal phase transformations are more complex, of course, but there are some useful relationships that have been developed that allow for the evaluation of kinetic parameters under nonisothermal conditions. One such equation takes into account the heating rate, (p usually in K/min, used in the experiment [4] ... [Pg.222]

The reactions take place only in active catalytic layer, the rates Rj are considered individually for each type of the converter (DOC, SCR, NSRC, TWC). The development of suitable reaction schemes and the evaluation of kinetic parameters are discussed generally in Section IV. The details for DOC, NSRC and SCR of NOx by NH3 are given in Sections V, VI and VII, respectively. The important species deposited on the catalyst surface are balanced (e.g. HC adsorption in DOC, oxygen and NOx storage in NSRC, NH3 adsorption in SCR). Heat transfer by radiation and homogeneous reactions... [Pg.113]

Fig. 10. Evaluation of kinetic parameters for the DOC model—HC adsorption/desorption (reaction R7 in Table II). Comparison of the measured and simulated outlet Ci0H22 concentrations in the course of the adsorption/desorption experiment. Synthetic gas mixture, other gases 6% C02, 6% H20, N2 balance, SV = 30,000 h 1 (Kryl et al., 2005). Reprinted with permission from Ind. Eng. Chem. Res. 44, 9524, 2005 American Chemical Society. Fig. 10. Evaluation of kinetic parameters for the DOC model—HC adsorption/desorption (reaction R7 in Table II). Comparison of the measured and simulated outlet Ci0H22 concentrations in the course of the adsorption/desorption experiment. Synthetic gas mixture, other gases 6% C02, 6% H20, N2 balance, SV = 30,000 h 1 (Kryl et al., 2005). Reprinted with permission from Ind. Eng. Chem. Res. 44, 9524, 2005 American Chemical Society.
Fig. 13. Evaluation of kinetic parameters for the DOC model—NO oxidation (reaction R5 in Table II). Comparison of measured and simulated outlet NOx concentrations in the course of temperature ramp (2K/min) for two different space velocities (SV= 50,000 and 100,000 h-1). Lab experiment with isothermal monolith sample using synthetic gas mixture (100 ppm CO, 100 ppm C3H6, 500ppm NO, 8% 02, 8% C02, 8% H20, N2 balance). Fig. 13. Evaluation of kinetic parameters for the DOC model—NO oxidation (reaction R5 in Table II). Comparison of measured and simulated outlet NOx concentrations in the course of temperature ramp (2K/min) for two different space velocities (SV= 50,000 and 100,000 h-1). Lab experiment with isothermal monolith sample using synthetic gas mixture (100 ppm CO, 100 ppm C3H6, 500ppm NO, 8% 02, 8% C02, 8% H20, N2 balance).
Figure 3.6 Evaluation of kinetic parameters in Michaelis-Menten equation (a) Lineweaver-Burk plot, (b) C /r versus plot, and (c) Eadie-Hofstee plot. Figure 3.6 Evaluation of kinetic parameters in Michaelis-Menten equation (a) Lineweaver-Burk plot, (b) C /r versus plot, and (c) Eadie-Hofstee plot.
Figure 3.8 Evaluation of kinetic parameters of competitive inhibition. Figure 3.8 Evaluation of kinetic parameters of competitive inhibition.
Furthermore, since most large-scale fermentations are carried out in batch mode, the kinetic parameters determined by the chemostat study should be able to predict the growth in a batch fermenter. However, due to the significantly different environments of batch and continuous fermenters, the kinetic model developed from the CSTF runs may fail to predict the growth behavior of a batch fermenter. Nevertheless, the verification of a kinetic model and the evaluation of kinetic parameters by running chemostat is the most reliable method because of its constant medium environment. [Pg.144]

The approximate evaluation of kinetic parameters can also be carried out using other simple equations for example, those derived for symmetric A is B systems, (64, 66) diagrams constructed for unsymmetric A s=t B systems, (65) or those for the case of averaged pairs of doublets of the type AnX BnY where JAX = JBY etc. (52)... [Pg.273]

Evaluation of kinetic parameters from the synthesis of triaryl phosphates using reaction calorimetry. Organic Process Research af Development, 6,... [Pg.99]

Cyclic voltammetry is of particular value for the study of electrochemical processes that are limited by finite rates of electron transfer. The quantitative relationships derived by Nicholson and Shain7 allow the evaluation of kinetic parameters for such rate-limited processes via cyclic voltammetry. A particularly useful function for such measurements is given by the relation... [Pg.74]

INHIBITION OF HYDROGEN PERMEABILITY BY TiN EVALUATION OF KINETIC PARAMETERS... [Pg.671]

Gamelin, C. D., Dutta, N. K. Choudhury, N. R., Kehoe, D., and Matisons, J. 2002. Evaluation of Kinetic Parameters of Thermal and Oxidative Decomposition of Base Oils by Conventional, Isothermal and Modulated TGA, and Pressure DSC. Ther-mochim. Acta, 392-393, 357-369. [Pg.49]

D. Mnnteanu and S. Turcn, Evaluation of kinetic parameters of the thermal decomposition of polyethylene-vinyl acetate graft copolymers, J. Thermal Anal, 20, 281 (1981). [Pg.108]

Development of rate expressions and evaluation of kinetic parameters require rate measurements free from artifacts attributable to transport phenomena. Assuming that experimental conditions are adjusted to meet the above-mentioned criteria for the lack of transport influences on reaction rates, rate data can be used to postulate a kinetic mechanism for a particular catalytic reaction. [Pg.230]

The application of chronocoulometry for mechanism analysis and evaluation of kinetic parameters is similar to the application of CA and is often based on visual comparison of experimental data with working curves. [Pg.142]

Interest in using low add eledrolytes has developed and care must be taken to assay what, if any, effed pH will have on the optimization of the above chemistry [286, 287]. Likewise, attention must be given to the corred evaluation of kinetic parameters in the presence of significant ohmic losses associated with the lower condudivity electrolytes. [Pg.146]

For a comparison with experimental measurements, there are several results available.25 27,39 From Table 7, it follows that a very good agreement with the experimental data was achieved. The differences are within an order of magnitude for the forward reaction and slightly worse for reverse processes. For the second dechlorination step, reactions rl2 and rl4, agreement with the published measurements is also fairly good, but here slightly different reactions are considered. Unfortunately there are no data for the evaluation of kinetic parameters such as AG2 in the thermodynamic part. Nevertheless, the rate constants for the second step are not too far from the experimental data, and substantial improvement of the results obtained with the COSMO model in comparison with the in vacuo calculation was achieved. [Pg.314]

Two possibilities were accepted for the further improvement of the model. The first one is a step-by-step addition of new elementary reactions in the case of the necessity for an adequate description or in the case if new reliable kinetic data are obtained. The second was a more accurate evaluation of kinetic parameters for elementary reactions already included into the model, but only on the basis of new direct experimental data or new calculations that are more advanced and precise. In one of the latter versions of this model (Vedeneev et al., 1995), the thermodynamic consistency principle (see Section II.C for details) was realized. [Pg.189]

There is a serious obstacle on a path leading to building such advanced models, namely the absence of a generally accepted concept of how free radicals react with surfaces of different nature. Does this interaction always proceed as a direct collision or in some cases it is proceeded by more or less stable adsorbed precursor What properties of the solid surface—local or collective—are responsible for directions and rates of such reactions to a greater extent Which approaches are more fruitful for evaluation of kinetic parameters in this case What experimental information could be relevant and helpful for building more adequate models and for a more precise evaluation of kinetic parameters What type of experimental data should be employed to examine the efficiency of such models ... [Pg.218]

Accounting of adsorbate-adsorbate self- and cross-interactions for a more accurate evaluation of kinetic parameters in the adsorbed layer. [Pg.230]


See other pages where Evaluation of kinetic parameters is mentioned: [Pg.133]    [Pg.37]    [Pg.22]    [Pg.272]    [Pg.620]    [Pg.620]    [Pg.97]    [Pg.81]    [Pg.171]    [Pg.576]    [Pg.304]    [Pg.300]    [Pg.251]    [Pg.37]   


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