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Kinetics rate model

Fig. 33.1. Results of a batch experiment (symbols) by Blum et al. (1998) in which Bacillus arsenicoselenatis grows on lactate, using arsenate [As(V)] as an electron acceptor. Solid lines show results of integrating a kinetic rate model describing microbial respiration and growth. Fig. 33.1. Results of a batch experiment (symbols) by Blum et al. (1998) in which Bacillus arsenicoselenatis grows on lactate, using arsenate [As(V)] as an electron acceptor. Solid lines show results of integrating a kinetic rate model describing microbial respiration and growth.
General Kinetic Rate Model for Mixed-Phase Catalytic Systems... [Pg.2568]

The kinetic rate models for the conversion of synthesis gas over a Cu/ZnO/ AI2O3 catalyst is thus given by ... [Pg.965]

Kinetic rate model for aryl interchange between triarylphosphines. The phosphines which can be formed by interchange of aryls between two triarylphosphines or between molecules of a non-symmetrically substituted triarylphosphine are shown in Scheme 2. [Pg.232]

A kinetic rate model for aryl interchange was developed based on the following assumptions. The carbon-phosphorus bonds of the different triarylphosphines cleave with equal ease, and aryl interchange proceeds by a reversible second order reaction. For example, the reaction of a TPP and a TRI molecule always yields one MONO and one DI molecule, and there are nine distinct ways for the forward reaction to occur (any of the three aryls of one molecule can replace or be replaced by any of the three aryls on the other). Of the many possible ways for the molecules to react however, there are three which are unique. These and the respective chemical equilibrium constants are shown in Scheme 3. [Pg.232]

Schieche D, Murty M, Kermode R, Bhattacharyya D. Biohydrogenation of fumarate using Desulfovibrio desulfuricans experimental results and kinetic rate modelling. J Chem Tech Biotechnol 1997 70 316-322. [Pg.453]

Fundamental and exhaustive mechanistic studies on the iron-catalyzed water-gas shift reaction were carried out by Oki and his colleagues (e.g. Oki and Mezaki, 1973a,b) who employed the stoichiometric number method. This method will not be discussed here as it is not widely used in developing kinetic rate models for catalytic reactions. [Pg.56]

In addition to being a compilation of important information regarding these reactions, this chapter serves as an illustration of the effort needed before adopting a certain kinetic rate model. This effort varies from one reaction to the other, depending on the degree of maturity of the modelling of the kinetics under consideration. [Pg.267]

Photocatalytic conversion of phenol has been studied extensively, as stated above. Several issues remain, however, to be clarified such as the quantification of intermediate species and the kinetic rate modeling. [Pg.101]

Since complex environmental conditions vary from site to site, one has to assume an idealized environment. This allows one to make generalizations regarding both the chemical and the environmental properties determining fate. The result of kinetics/rates modeling is a series of predictions of chemical concentrations in each of the environmental media—air, water, soil/sediment, and biota. The final values are a function of the specified chemical input rate. [Pg.374]

With the increasing emphasis on assessing the environmental fate and effects of chemicals before their potential release into the environment, the kinetics/rates modeling approach is receiving considerable research attention. Most model development work has involved aquatic environments (54, 65, 84, 85, 86, 108). Since water pollution has long been recognized as a serious problem, many of the physical and chemical processes affecting the behavior of chemicals in water have been carefully studied. [Pg.375]

Although Neely and Blau (87) used direct laboratory measurements to develop rate constants, there are a few mathematical representations of environmental pathways which provide similar kinetics information (Table XV). Unfortunately, only a few of these pathways can currently be modeled based solely on physical/ chemical properties (e.g., volatilization from water and bioaccumulation). For some pathways (such as those describing atmospheric deposition and washout, biodegradation, and oxidation), adequate mathematical representations are not currently available. Other mathematical representations require either laboratory kinetics data (e.g., photodegradation and hydrolysis) or empirical data for model chemicals or environmental media (e.g., soil evaporation, adsorption, and leaching). Therefore, kinetics/rates models require more data as input than are likely to be available at the time of premanufacture notification. [Pg.375]

Even if the data input requirements for kinetics/rates models are met, difficult problems remain regarding the sensitivity and overall reliability of the predictions made. One approach to validating and refining these models is to gather mass balance information on the environmental distributions of well-known chemicals. This involves multimedia sampling under well-defined environmental conditions and known chemical input rates. The chemical mass balance between the environmental media is then compared to model predictions. These mass-... [Pg.375]

From the above example, it is apparent that the statistical approach is not generally practical for exposure assessment of new chemicals due to the site-specific nature of the analysis and the time and money required for monitoring. This is not to detract from the value of this approach for the detailed study of selected existing chemicals and validation of kinetics/rates models and model ecosystem studies. [Pg.377]

A kinetic rate model based on the LH mechanism leads to the following result ... [Pg.332]


See other pages where Kinetics rate model is mentioned: [Pg.272]    [Pg.393]    [Pg.483]    [Pg.22]    [Pg.105]    [Pg.373]    [Pg.376]    [Pg.376]   
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