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Reaction-order verification

Two sources to obtain this necessary information are the use of data bases and through experimental determinations. Enthalpies of reaction, for example, can be estimated by computer programs such as CHETAH [26, 27] as outlined in Chapter 2. The required cooling capacity for the desired reactor can depend on the reactant addition rate. The effect of the addition rate can be calculated by using models assuming different reaction orders and reaction rates. However, in practice, reactions do not generally follow the optimum route, which makes experimental verification of data and the determination of potential constraints necessary. [Pg.116]

Initial work on the reduction reaction involved a study of the completeness of the reaction and verification of the reduction product, benzidine. The presence of benzidine in the reduced dye sample was confirmed by gas chromatographic/ mass spectrometric analysis. In order to determine the completeness of the dye-reduction reaction, the reduction of... [Pg.25]

The overall reaction involves five reactant molecules, but it is by no means necessarily of fifth order. Indeed the rate-controlling step in this proposed mechanism is bimolecular, and the overall reaction order predicted by the mechanism is It is also important to note that this mechanism is not the only one that would predict the above - -order rate law for the given overall reaction thus experimental verification of the predicted rate law would by no means constitute proof of the validity of the above proposed mechanism. [Pg.255]

Stringent quantitative verifications of the analytical equations should confirm the reaction orders with... [Pg.288]

Ensuring the Absence of Transport Limitations at the Catalyst Pellet Scale. Several criteria have been developed for verifying that concentration and temperature gradients, internal or external from the catalyst pellet, can be neglected. Section 2.2.1 deals with external transport limitations and, hence, with steps 1 and 7 from the catalytic cycle discussed above, whereas Section 2.2.2 focuses on steps 2 and 6, that is, on internal transport limitations. Apart from the calculation of these criteria, also a few experimental tests are at hand to verify the absence of transport limitations (see Section 2.2.3). It must be noted, however, that the result of such experimental tests may depend on the reaction order and not necessarily lead to a conclusive interpretation. As a result, it is recommended to double check the outcome of the experimental verification by calculating the corresponding criteria. [Pg.1336]

SWV has been applied to study electrode reactions of miscellaneous species capable to form insoluble salts with the mercury electrode such as iodide [141,142], dimethoate pesticide [143], sulphide [133,144], arsenic [145,146], cysteine [134, 147,148], glutathione [149], ferron (7-iodo-8-hydroxyquinolin-5-sulphonic acid) [150], 6-propyl-2-thiouracil (PTU) [136], 5-fluorouracil (FU) [151], 5-azauracil (AU) [138], 2-thiouracil (TU) [138], xanthine and xanthosine [152], and seleninm (IV) [153]. Verification of the theory has been performed by experiments at a mercury electrode with sulphide ions [133] and TU [138] for the simple first-order reaction, cystine [134] and AU [138] for the second-order reaction, FU for the first-order reaction with adsorption of the ligand [151], and PTU for the second-order reaction with adsorption of the ligand [137]. Figure 2.90 shows typical cathodic stripping voltammograms of TU and PTU on a mercuiy electrode. The order of the... [Pg.128]

Electroless Deposition in the Presence of Interfering Reactions. According to the mixed-potential theory, the total current density, is a result of simple addition of current densities of the two partial reactions, 4 and However, in the presence of interfering (or side) reactions, 4 and/or may be composed of two or more components themselves, and verification of the mixed-potential theory in this case would involve superposition of current-potential curves for the electroless process investigated with those of the interfering reactions in order to correctly interpret the total i-E curve. Two important examples are discussed here. [Pg.147]

In order to determine the reaction pathway for 1,2-dichlorobenzene, Schiith fitted kinetic data and found that the primary pathway was direct reaction to benzene with a parallel reaction of sequential dechlorination through chlorobenzene to benzene. (Figure 7) These pathways were further supported by independent determination and verification of the reaction rate constant for the second hydrodechlorination step. (Schiith and Reinhard 1998)... [Pg.56]

The data in Figure 7.13 show reductive-dissolution kinetics of various Mn-oxide minerals as discussed above. These data obey pseudo first-order reaction kinetics and the various manganese-oxides exhibit different stability. Mechanistic interpretation of the pseudo first-order plots is difficult because reductive dissolution is a complex process. It involves many elementary reactions, including formation of a Mn-oxide-H202 complex, a surface electron-transfer process, and a dissolution process. Therefore, the fact that such reactions appear to obey pseudo first-order reaction kinetics reveals little about the mechanisms of the process. In nature, reductive dissolution of manganese is most likely catalyzed by microbes and may need a few minutes to hours to reach completion. The abiotic reductive-dissolution data presented in Figure 7.13 may have relative meaning with respect to nature, but this would need experimental verification. [Pg.288]

This equation is of an obviously complex form and does not admit of a simple experimental verification without some direct knowledge of the ratios of the three rate constants /bi, k2, and /c.3. Similarly, the presence of the mixed second-order reaction A and B destroys the possibility of defining a half-life for such a system, since, for example, the amount of B that remains when A is half used up will clearly depend on the initial amounts of A and B present (that is. Bo and Ao) as well as the relative values of the respective rate constants. [Pg.32]

Of course, the traditional problem of the lack of precise knowledge of the heats of solvation for the passage of these ions into solution, makes the above criteria of stability less valuable to the condensed-phase chemist. A major breakthrough in this classical impasse has been achieved by Arnett and coworkers " who have recently carried out calorimetric measurements leading to reliable values of the enthalpy of ionisation of various alkyl, cycloalkyl and aiyl halides in solution. These determinations owe their validity to the use of superacid conditions and the NMR verification that the ions expected were in fact formed in those media without Ihe occurrence of secondary reactions. One of the most important conclusion of these studies is that on the whole the relative stabUities of carbenium ions are the same in the gas pha% and in the solvents used, i.e., electrostatic solvation effects do not alter the order of stability. The importance of this new experimental approach is quite obvious and one can except in the near firture considerable advances in the field of the thermodynamics of reactive carbenium ions in solution through the attmnment of a precise knowledge of AG° values for their formation in various media. [Pg.28]

In conclusion, when working with blends of condensation polymers, one always has to take into account the possibility of chemical interaction and the formation of copolymers. The extent of this reaction is important because it is possible to obtain a one-component, as well as a one-phase, system when the blocky sequential order is converted to a random one. Such systems are very appropriate for the verification of relationships reflecting the effect of composition on various properties since they are free from other factors. Finally, in such cases one is dealing with copolymers distinguished by the creation of new chemical bonds, not with blends, although initially two or more homopolycondensates are mixed. [Pg.141]

The method of overlaying digitally calculated i-E curves with experimental ones is frequently used as a verification of the proposed mechanism for the reaction involved.. In order to use the simulated data diagnostically, the behavior of a certain mechanism must be calculated over a wider range of conditions. In the course of these simulations one finds which parameters are most useful and then quantitates their dependence on changes in such variables as rate constants, scan rates, and concentration ratio. In this section we will first display the dependence of the peak current and peak potential on the two rate constants, k and kg Then... [Pg.80]


See other pages where Reaction-order verification is mentioned: [Pg.438]    [Pg.124]    [Pg.289]    [Pg.660]    [Pg.507]    [Pg.32]    [Pg.173]    [Pg.431]    [Pg.129]    [Pg.238]    [Pg.212]    [Pg.130]    [Pg.356]    [Pg.171]    [Pg.34]    [Pg.54]    [Pg.254]    [Pg.71]    [Pg.75]    [Pg.163]    [Pg.146]    [Pg.34]    [Pg.413]    [Pg.210]    [Pg.76]    [Pg.320]    [Pg.332]    [Pg.173]    [Pg.507]    [Pg.6]    [Pg.1233]    [Pg.398]    [Pg.24]    [Pg.594]    [Pg.239]   
See also in sourсe #XX -- [ Pg.13 ]




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