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Reaction stoichiometry, analytical data

Otsuka et al. (107) describe [Ni(CNBu )2], as a reddish brown microcrystalline substance, which is extremely air-sensitive. It can be recrystallized from ether at —78°C, and is soluble in benzene in the latter solution the infrared spectrum (2020s, br, 1603m, 1210m) and proton NMR (three peaks of equal intensity at t8.17, 8.81, and 8.94) were obtained. Neither analytical data nor molecular weight is available on this complex. The metal-ligand stoichiometry is presumably established by virtue of the molar ratio of reactants and by the stoichiometries of various reaction products. [Pg.70]

Wet methods are those that involve physical separation and classical chemical reaction stoichiometry, but no instrumentation beyond an analytical balance. Instrumental methods are those that involve additional high-tech electronic instrumentation, often complex hardware and software. Common analytical strategy operations include sampling, sampling preparation, data analysis, and calculations. Also, weight or volume data are required for almost all methods as part of the analysis method itself. [Pg.515]

Er111 complexes with 1 2 stoichiometries are isolated by reaction of the sodium salts of the two oligothiophene ligands with erbium chloride under anhydrous conditions. No analytical data are reported to prove this stoichiometry, but both compounds Na[Er(83a)2] and Nas [Er(83b)2] display the 1.54 pm emission in anhydrous pyridine upon excitation at 353 nm. The emission intensity of [Er(83a)2r is comparable to the fluorescence intensity of [Er(8-Q)3] recorded under the same experimental conditions, while emission intensity of the pentathiophene complex is about half that. This is explained by the more efficient triplet state production in shorter oligothiophenes than in longer ones (Destri et al., 2003). [Pg.333]

The data have been reconsidered by the review and the following observations were made, see also Appendix A. The solid selenium used in the experiments was obtained by reduction of a selenite solution by thiosulphate. The selenium might therefore not be in its standard state. The activity of the specimen is most likely elose enough to the standard state activity, however, since the precipitate was kept at boiling temperature for several hours. A recalculation of the side-reactions with more recent values of the auxiliary equilibrium constants made little difference to the result. The analytical data are not always consistent with the stoichiometry of Reaction (V.24) and the known initial composition of the test solution. The authors also observed this and held oxidation of iodide by initially present oxygen responsible for the discrepancies. Flowever, in some instanees the deviations from the expected concentrations are remarkably large. The deviations do not invalidate the results if equilibrium prevails, which was tested. [Pg.150]

Inadequate stoichiometry and poor calibration of the analytical device are interconnected problems. The kinetic model itself follows the stoichiometric rules, but an inadequate calibration of the analytical instrument causes systematic deviations. This can be illustrated with a simple example. Assume diat a bimolecular reaction, A + B P, is carried out in a liquid-phase batch reactor. The density of the reaction mixture is assumed to be constant. The reaction is started with A and B, and no P is present in the initial mixture. The concentrations are related by cp=CoA-Cj=Cob -Cb, i e. produced product, P, equals with consumed reactant. If the concentration of the component B has a calibration error, we get instead of the correct concentration cb an erroneous one, c n ncs, which does not fulfil the stoichiometric relation. If the error is large for a single component, it is easy to recognize, but the situation can be much worse calibration errors are present in several components and all of their effects are spread during nonlinear regression, in the estimation of the model parameters. This is reflected by the fact that the total mass balance is not fulfilled by the experimental data. A way to check the analytical data is to use some fonns of total balances, e.g. atom balances or total molar amounts or concentrations. For example, for the model reaction, A + B P, we have the relation ca+cb+cp -c()a+c0 -constant (again c0p=0). [Pg.447]

The analytical data show that gold catalysis and enzymatic catalysis allow fast and selective aerobic oxidation of glucose according to the same stoichiometry characterized by the formation of hydrogen peroxide as the by-product (Eq. (21.1)) [8]. However, it is not surprising that completely different catalytic systems adopt different reaction mechanisms as shown by the kinetic studies on commercial enzymatic preparations containing /wcose oxidase and catalase [13]. The results of the research support a Michaelis-Menten type mechanism where the kinetic... [Pg.353]

Perhaps the most discouraging type of deviation from linearity is random scatter of the data points. Such results indicate that something is seriously wrong with the experiment. The method of analysis may be at fault or the reaction may not be following the expected stoichiometry. Side reactions may be interfering with the analytical procedures used to follow the progress of the reaction, or they may render the mathematical analysis employed invalid. When such plots are obtained, it is wise to reevaluate the entire experimental procedure and the method used to evaluate the data before carrying out additional experiments in the laboratory. [Pg.49]

The microstructural models described here represent theoretical milestones in gasless combustion. Using similar approaches, other models have also been developed. For example, Makino and Law (1994) used the solid-liquid model (Fig. 20c) to determine the combustion velocity as a function of stoichiometry, degree of dilution, and initial particle size. Calculations for a variety of systems compared favorably with experimental data. In addition, an analytical solution was developed for diffusion-controlled reactions, which accounted for changes in X, p, and Cp within the combustion wave, and led to the conclusion that U< Ud(Lak-shmikantha and Sekhar, 1993). [Pg.130]

Reaction kinetics is concerned with rates of chemical transformations and thus experimental measurements must be of parameters which can be accurately related to changes in extent of a defined and characterized rate process, or set of rate processes. Yield-time data can only be significant if the stoichiometry of the reaction of interest is established, including analytical confirmation of the identities of the products, as well as any possible reaction intermediates. [Pg.60]

Computing analyte concentrations from experimental data is usually relatively easy, particularly with modern calculators or computers. This step is depicted in the next-to-last block of Figure 1-2. These computations are based on the raw experimental data collected in the measurement step, the characteristics of the measurement instruments, and the stoichiometry of the analytical reaction. Samples of these calculations appear throughout this book. [Pg.10]

As has already been mentioned in Section 3, a vital first step in any kinetic study is to determine the stoichiometry of the chemical reaction that is to be investigated. Generally, this is then followed by the measurement, at a fixed temperature, of changes in concentrations of reactants or products as a function of time. Essentially, the collection of kinetic data is an exercise in analytical chemistry with the added dimension of time. The requirement of the analytical technique — and many have been used — is that it can measure concentration. The requirements on the design of the experiment are that the analysis does not disturb the progress of the reaction and that it is done quickly so that no significant reaction occurs while it is being carried out. [Pg.42]

A study of the reaction of the ABC mixtures with LiAlH was initiated in order to convert the mixtures to pure A-type complexes. The reaction product is highly dependent on stoichiometry. Using analytical, mass spectral, or crystallographic data the chloride content of an ABC mixture can be estimated. Reaction of an ABC mixture with LiAlH yields the A-type complex but, even with care in calculating the stoichiometry, is usually accompanied by some decomposition (Eg.2). The decomposition reaction was studied further. Reac-... [Pg.18]


See other pages where Reaction stoichiometry, analytical data is mentioned: [Pg.535]    [Pg.623]    [Pg.535]    [Pg.623]    [Pg.65]    [Pg.248]    [Pg.290]    [Pg.539]    [Pg.168]    [Pg.209]    [Pg.32]    [Pg.754]    [Pg.366]    [Pg.177]    [Pg.273]    [Pg.1457]    [Pg.6561]    [Pg.25]    [Pg.127]    [Pg.25]    [Pg.1456]    [Pg.6560]    [Pg.153]    [Pg.213]   
See also in sourсe #XX -- [ Pg.554 ]




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