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Kinetic analysis integral method

A General Integral Method for the Analysis of Kinetic Data—Graphical Procedure. [Pg.48]

Illustrations 3.2 and 3.3 are examples of the use of the graphical integral method for the analysis of kinetic data. [Pg.50]

Integral Methods for the Analysis of Kinetic Data—Numerical Procedures. While the graphical procedures discussed in the previous section are perhaps the most practical and useful of the simple methods for determining rate constants, a number of simple numerical procedures exist for accomplishing this task. [Pg.53]

There are two procedures for analyzing kinetic data, the integral and the differential methods. In the integral method of analysis we guess a particular form of rate equation and, after appropriate integration and mathematical manipulation, predict that the plot of a certain concentration function versus time... [Pg.38]

The rate expressions Rj — Rj(T,ck,6m x) typically contain functional dependencies on reaction conditions (temperature, gas-phase and surface concentrations of reactants and products) as well as on adaptive parameters x (i.e., selected pre-exponential factors k0j, activation energies Ej, inhibition constants K, effective storage capacities i//ec and adsorption capacities T03 1 and Q). Such rate parameters are estimated by multiresponse non-linear regression according to the integral method of kinetic analysis based on classical least-squares principles (Froment and Bischoff, 1979). The objective function to be minimized in the weighted least squares method is... [Pg.127]

Convolution potential sweep voltammetry (CPSV) refers to the mathematical transformation of LSV current—potential data resulting in curves with shapes like conventional polarograms which are suitable for logarithmic analysis. The method was first proposed for the study of electrode kinetics by Imbeaux and Saveant [74] but is equivalent in all respects to a semi-integral technique reported earlier by Oldham [75— 77]. A very readable description of the method has been presented by Bard and Faulkner [21]. [Pg.189]

More significantly, when calorimetry is combined with an integral kinetic analysis method, e.g. a spectroscopic technique, we have an expanded and extremely sophisticated method for the characterisation of chemical reactions. And when the calorimetric method is linked to FTIR spectroscopy (in particular, attenuated total reflectance IR spectroscopy, IR-ATR), structural as well as kinetic and thermodynamic information becomes available for the investigation of organic reactions. We devote much of Chapter 8 to this new development, and the discussion will focus on reaction calorimeters of a size able to mimic production-scale reactors of the corresponding industrial processes. [Pg.11]

The kinetic and thermodynamic characterisation of chemical reactions is a crucial task in the context of thermal process safety as well as process development and optimisation. As most chemical and physical processes are accompanied by heat effects, calorimetry represents a unique technique to gather information about both aspects, thermodynamics and kinetics. As the heat-flow rate during a chemical reaction is proportional to the rate of conversion, calorimetry represents a differential kinetic analysis technique. The combination of calorimetry with an integral kinetic analysis method, e.g. UV-vis, near infrared, mid infrared or Raman spectroscopy, enables an improved kinetic analysis of chemical reactions. [Pg.224]

The first, called the integral method of data analysis, consists of hypothesizing rate expressions and then testing the data to see if the hypothesized rate expression fits the experimental data. These types of graphing approaches are well covered in most textbooks on kinetics or reactor design. [Pg.470]

The text reviews the methodology of kinetic analysis for simple as well as complex reactions. Attention is focused on the differential and integral methods of kinetic modelling. The statistical testing of the model and the parameter estimates required by the stochastic character of experimental data is described in detail and illustrated by several practical examples. Sequential experimental design procedures for discrimination between rival models and for obtaining parameter estimates with the greatest attainable precision are developed and applied to real cases. [Pg.215]

Such a method of kinetic analysis is termed the differential method since the residual sum of squares is based on rates. The required differentiation of XA versus W/FA0 data can be a source of errors, however. To avoid this, the same set of data can be analyzed by the so-called integral method, which consists of minimizing a residual sum of squares based on the directly observed conversions ... [Pg.290]

The use of derivative methods avoids the need for approximations to the temperature integral (discussed above). Measurements are also not subject to cumulative errors and the often poorly-defined boundary conditions used for integration [74], Numerical differentiation of integral measurements normally produces data which require smoothing before further analysis. Derivative methods may be more sensitive in determining the kinetic model [88], but the smoothing required may lead to distortion [84],... [Pg.162]

A kinetic study has been carried out to determine the order of the reaction and to establish a correlation between the structure and composition of the materials with their stability properties. Integration methods, lifetimes, and initial rate analysis were used to determine the order of the reaction [87]. A plot of ln(///0) versus time is lineal, confirming first-order kinetics for oxidation of SEBS. A pseudo-first order of the reaction is also confirmed, because half lifetime remains constant for different /<> and the double logarithmic plot of initial rates versus intensity maxima (which are proportional to the initial peroxides concentration) gave a straight fine. [Pg.116]

Methods of kinetic analysis that involve fitting of experimental data to assumed forms of the reaction model (first-order, second order, etc.) normally result in highly uncertain Arrhenius parameters. This is because errors in the form of the assumed reaction model can be masked by compensating errors in the values of E and A. The isoconversional technique eliminates the shortcomings associated with model-fitting methods. It assumes the unknown integrated form of the reaction model, g(a), as shown in Eq. (4), to be the same for all experiments. [Pg.355]

Linear reaction systems allow the rate laws to be presented in a closed form even if the reaction procedure is complex. But non-linear systems cause extreme difHculties in the integration of even simple equations. Therefore quite a few methods are described in the literature to approximate the solution of the differential equation. Nowadays such iterations are no longer necessary, since the relationship between concentrations can be calculated in an easy way for given parameters. Nevertheless in kinetic analysis two questions are essential ... [Pg.118]

Equation 18.12 is the basis for the derivative approach to rate-based analysis, which involves directly measuring the reaction rate at a specific time or times and relating this to [A]fl. Equation 18.11 is the basis for the two different integral approaches to kinetic analysis. In one case, the amount of A reacted during a fixed time is measured and is directly proportional to [A]o ( fixed-time method) in the other case, the time required for a fixed amount of A to react is measured and is also proportional to [A]o variable-time method). Details of these methods will be discussed in Section... [Pg.533]

In the past ten years, our group studied chemometrics for kinetic analysis of reaction curve to estimate parameters of enzyme reaction systems the following results were foimd. (a) In terms of reliability and performance for estimating parameters, the use of the integrated rate equations with the predictor variable of reaction time is superior to the use of the integrated rate equations with predictor variables other than reaction time (Liao, et al., 2005a) (b) the integration of kinetic analysis of reaction curve with other methods to quantify initial rates... [Pg.158]

Integration of kinetic analysis of reaction curve with other methods... [Pg.165]


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