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Modeling systems chemical reactions

To become familiar with a knowledge-based reaction prediction system To appreciate the different levels in the evaluation of chemical reactions To know how reaction sequences are modeled To understand kinetic modeling of chemical reactions To become familiar with biochemical pathways... [Pg.542]

Ederer. HJ, Basedow AM, Ebert KH (1981) In Ebert KH, Deuf Chard P, Jager W (eds) Modelling of chemical reaction systems. Springer, Berlin Heidelberg New York, p 197... [Pg.180]

Considering theoretically a copolymerization on the surface of a miniemulsion droplet, one should necessarily be aware of the fact that this process proceeds in the heterophase reaction system characterized by several spatial and time scales. Among the first ones are sizes of an individual block and macromolecules of the multiblock copolymer, the radius of a droplet of the miniemulsion and the reactor size. Taking into account the pronounced distinction in these scales, it is convenient examining the macrokinetics of interphase copolymerization to resort to the system approach, generally employed for the mathematical modeling of chemical reactions in heterophase systems [73]. [Pg.182]

Finally we draw attention to simulations of the growth of adsorbate islands for models of chemical reactions at surfaces, such as A(a) + B(a) - AB(g) where two reactants (A, B) are adsorbed at the surface (a) while the reaction product AB is rapidly desorbing to the gas phase (g) . A well-known system exhibiting such behavior is 0(a) -I- C0(a)- C02(g) on metal surfaces . ... [Pg.144]

Tilden, J. W., Costanza, V., McRae, G. J., and Seinfeld, J. H., Sensitivity analysis of chemically reacting systems, in Modeling of Chemical Reaction Systems (K. H. Ebert, P. Deuflhard, and W. Jaeger, eds.). Springer-Verlag, New York, 1981. [Pg.195]

F ure 8-18 Coirqifflison of sterns that cai be described by the models of chemical reaction engineering. Reactions include those of molecailes aid Hidng systems. Possible chemical reactors include conventional reactors as well as the enwronment. [Pg.355]

We are thus, in many instances, more interested in the transient behaviour early in a reaction than we are in the more easily studied final or equilibrium state. With this in mind, we shall be concerned in our early chapters with simple models of chemical reaction that can satisfy all thermodynamic requirements and yet still show oscillatory behaviour of the kind described above in a well-stirred closed system under isothermal or non-isothermal conditions. [Pg.3]

The model of chemical reactions in solution chosen by Felderhof and Deutch [25] to study competitive effects consists of n stationary sinks, each of radius R, located at positions rfe within a system of volume V. In... [Pg.278]

Kahlert, C., Rossler, O. E. and Varma, A., 1981, Modelling of Chemical Reaction Systems. Springer, New York. [Pg.281]

C. E. Lapple, Electrostatic Phenomena with Particulates J. R. Kittrell, Mathematical Modeling of Chemical Reactions W. P. Ledet and D. M. Himmelblau, Decomposition Procedures foe the Solving of Large Scale Systems... [Pg.280]

Ray, W. H. "Dynamic Behavior of Polymerization Reactors" in "Modelling of Chemical Reaction Systems", Ebert, K. H. et al., (Ed.), Springer Verlag, Berlin, 1981. [Pg.133]

Bock, H. G., Modelling of chemical reaction systems, in Numerical Treatment of Inverse Problems in Chemical Reaction Kinetics, Springer-Verlag, 1981. [Pg.138]

A second, equally important, aspect of the theoretical modelling of chemical reactions is related to the elucidation of the often radical changes in the electronic structure of a reacting system as it evolves from reactants, through one or more transition structures and/or reaction intermediates, to one or more sets of products. There is a well-recognized need to develop qualitative models based on quantitative wavefunctions but highlighting general features and tendencies in chemical structure and reactivity this can be a very difficult task, especially if... [Pg.41]

Matter is atomic, not continuous, and cells and molecules come in discrete units. Thus, in compartmental models of chemical reactions and physiological processes, a compartment contains an integral number of units and in any transfer only an integral number of units can be transferred. Consequently, it is important to develop the theory for such systems in which transfers occur in discrete numbers of units, and that is done in terms of the probabilities of transfer of one unit from one compartment to another or to the outside. [Pg.205]

In the model system, the reaction has been kept as simple as possible by investigating self-assembly in a solution containing a single surfactant. The surfactants sodium p-6-tridecylbenzenesulphonate (6-SLABS) and sodium p-7-tridecylbenzenesulphonate (7-SLABS) (Fig. 19.1(a) and 19.1(b)) were pure samples obtained as a gift from Dr. Peter Garrett of Unilever, Port Sunlight Laboratory, UK. All other chemicals were standard reagents and were used without further purification. [Pg.687]

STATISTICAL MECHANICAL MODELING OF CHEMICAL REACTIONS IN CONDENSED PHASE SYSTEMS... [Pg.191]

Haseltine, E. L. Systems Analysis of Stochastic and Population Balance Models for Chemical Reactions . Department of Chemical Engineering, Madison, University of Wisconsin (2005). Haseltine, E. L., and Rawlings, J. B. J. Chem. Phys. 117(15), 6959 (2002). [Pg.58]

S. Candel, J. P. Martin, Coherent Flame Modeling of Chemical Reactions in Turbulent Mixing Layer, in Complex Chemical Reaction Systems, J. Wamatz, W. Joger (Eds.), Springer-Verlag, Berlin, 1987. [Pg.188]

Application of data obtained from simple clean reaction systems in biological or chemical studies of heme catalysis also has its problems. Chemical model systems use chelators, model hemes, and substrate structures that are quite different from those existing in foods. Reaction sequences change with heme, substrate, solvent, and reaction conditions. Intermediates are often difficult to detect (141), and derivations of mechanisms by measuring products and product distributions downstream can lead to erroneous or incomplete conclusions. It is no surprise, then, that there remains considerable controversy over heme catalysis mechanisms. Furthermore, mechanisms determined in these defined model systems with reaction times of seconds to minutes may or may not be relevant to lipid oxidation being measured in the complex matrices of foods stored for days or weeks under conditions where phospholipids, fatty acid composition, heme state, and postmortem chemistry complicate the oxidation once it is started (142). Hence, the mechanisms outlined below should be viewed as guides rather than absolutes. More research should be focused on determining, by kinetic and product analyses, which reactions actually occur and are of practical importance in specific food systems. [Pg.330]

Braun, W., Herron, J. T., and Kahaner, D. K. (1988) Acuchem A Computer Program for Modeling Complex Chemical Reaction Systems, Int. J. Chem. Kinet. 20, 51-62. [Pg.939]

Many different mechanisms have been proposed in the literature for the agglomeration of bed particles. Viscous flow sintering of liquid silicates, reactive liquid sintering of molten salt systems, chemical reaction sintering by formation of new compounds, solid state sintering and vaporisation followed by re-condensation have been reported by several investigators Chemical equilibrium models have... [Pg.829]

Surface complexation models (SCM s) provide a rational interpretation of the physical and chemical processes of adsorption and are able to simulate adsorption in complex geochemical systems. Chemical reactions at the solid-solution interface are treated as surface complexation reactions analogous to the formation of complexes in solution. Each reaction is defined in terms of a mass action equation and an equilibrium constant. The activities of adsorbing ions are modified by a coulombic term to account for the energy required to penetrate the electrostatic-potential field extending away from the surface. Detailed information on surface complexation theory and the models that have been developed, can be found in (Stumm et al., 1976 ... [Pg.94]

This is the naive picture on which many tentative models of chemical reactions used in the past were based. The material model is reduced to the minimal reacting system (A+B in the example presented above) and supplemented by a limited number of solvent molecules (S). Such material model may be studied in detail with quantum mechanical methods if A and B are of modest size, and the number of S molecules is kept within narrow limits. Some computational problems arise when the size of reactants increases, and these problems have been, and still are, the object of active research. This model is clearly unsatisfactory. It may be supplemented by a thermal bath which enables the description of energy fluxes from the microscopic to the outer medium, and vice versa, but this coupling is not sufficient to bring the model in line with chemical intuition and experimental evidence. [Pg.2]

The first and most important step in the modelling of chemical reactions is to decide whether they are controlled by chemical thermodynamics or kinetics, or possibly by a combination of the two. This also applies to the modelling of more complex chemical systems and processes, such as waste repositories of various kinds, the processes describing transport of toxic materials in ground and surface water systems, the global geochemical cycles, etc. [Pg.2]

IIIC) 1974 Field, R. J., Noyes, R. M. Oscillations in Chemical Systems, IV. Limit Cycle Behavior in a Model of Chemical Reaction, J. Chem. Phys. vol. 60, 1877-1884... [Pg.70]

In models of chemical reaction systems, which do incorporate binding kinetics, it is usual to consider a state of equilibrium to exist and to ignore extremely small values to simplify the analysis (95,96). In the gradual process of tumor targeting, the tumor concentration of the injected substance gradually rises and falls so no equilibrium exists, and the proportion of the injected dose bound to tumor is very small, but of central importance, so may not be ignored. The model described in Chapter 8 overcomes these problems to ask questions about tumor targeting that would be very difficult to address experimentally or with simpler models. [Pg.106]


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See also in sourсe #XX -- [ Pg.481 ]




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