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Rate coefficient temperature variation

In hydroxylation, quinones are usually obtained since the initial hydroxyl product is further oxidised. Kinetic studies on the hydroxylation of 1,3,5-tri-methoxybenzene with perbenzoic acid gave second-order rate coefficients (Table 29) which remained fairly constant for a wide variation in concentration of aromatic and acid thus indicating that the rate-determining step is bimolecular133. The variation was considered to be within the rather large experimental error for the reaction which was very fast and, therefore, studied at low temperature (—12.4 °C). Since more than one mole of acid per mole of aromatic was eventually consumed, the mechanism was formulated as... [Pg.54]

The kinetics of the sulphuric acid-catalysed decarboxylation of a range of alkyl substituted benzoic acids have been measured by Schubert et a/.634,635. The variation of rate coefficient with temperature for mesitoic acid is given in Table 206 and the value for the methyl ester shows that, at this acid concentration, the... [Pg.304]

Variation in rate coefficient (10 ki) with temperature in 20 vol. % aq. MeOH. ... [Pg.338]

In the previous chapters on temperature variations in reactors, we needed heat transfer coefficients h to calculate rates of heat transfer within the reactor. For a more detailed examination of temperature variations, we must use Nusselt number correlations similar to those developed here for mass transfer. [Pg.282]

The above analyses show that it is fairly easy to deal with temperature variation for unidirectional elementary reaction kinetics containing only one reaction rate coefficient. Analyses similar to the above will be encountered often and are very useful. However, if readers get the impression that it is easy to treat temperature variation in kinetics in geology, they would be wrong. Most reactions in geology are complicated, either because they go both directions to approach equilibrium, or because there are two or more paths or steps. Therefore, there are two or more reaction rate coefficients involved. Because the coefficients almost never have the same activation energy, the above method would not simplify the reaction kinetic equations enough to obtain simple analytical solutions. [Pg.31]

Comparisons of reaction rates provide the basis for many of the questions. However, any explanation which accounts for rate differences, but ignores temperature coefficients is at the very least incomplete and may actually be wrong. Where temperature coefficient data exist, they have been taken into account, but few observations are so well understood that both reaction rates and their variation with temperature are accounted for. [Pg.107]

The variation of the reaction rate with temperature also provides evidence of the superposition of two reactions, one with a considerably higher temperature coefficient than the other. [Pg.68]

Most nonequilibrium systems are characterized by variation of velocity, temperature, composition, or electrical potential with position and the consequent transport of momentum, energy, mass, or electric charge. Naturally, transport of two or more of these may occur simultaneously. Attention is focused here, however, on situations where only one transport process occurs and a transport coefficient can be calculated from its measured rate. For example, thermal conductivity can be calculated if the rate of energy transport and the temperature variation in the system are measured. [Pg.95]

Until recently, little reliable data was available on the temperature dependence of ternary association reactions. Good181 has reviewed the data available up to 1975. With the inception of the SIFT technique accurate temperature dependencies have been obtained for several ternary association reactions which indicates that the variation of the ternary rate coefficients with temperature closely conforms to a simple power law behaviour (k a T-n) as predicted by statistical theory, but with n much smaller than predicted131-133. Such data is contributing to agrowing understanding of the mechanistic aspects of ion-molecule association reactions134,13S. ... [Pg.27]

An isocratic HPLC method for screening plasma samples for sixteen different non-steroidal anti-inflammatory drugs (including etodolac) has been developed [29]. The extraction efficiency from plasma was 98%. Plasma samples (100-500 pL) were spiked with internal standard (benzoyl-4-phenyl)-2-butyric acid and 1 M HC1 and were extracted with diethyl ether. The organic phase was separated, evaporated, the dry residue reconstituted in mobile phase (acetonitrile-0.3% acetic acid-tetrahydrofuran, in a 36 63.1 0,9 v/v ratio), and injected on a reverse-phase ODS 300 x 3.9 mm i.d. column heated to 40°C. A flow rate of 1 mL/min was used, and UV detection at 254 nm was used for quantitation. The retention time of etodolac was 30.0 minutes. The assay was found to be linear over the range of 0.2 to 100 pg/mL, with a limit of detection of 0.1 pg/mL. The coefficients of variation for precision and reproducibility were 2.9% and 6.0%, respectively. Less than 1% variability for intra-day, and less than 5% for inter-day, in retention times was obtained. The effect of various factors, such as, different organic solvents for extraction, pH of mobile phase, proportion of acetonitrile and THF in mobile phase, column temperature, and different detection wavelengths on the extraction and separation of analytes was studied. [Pg.135]

Theoretical studies of the microsolvation effect on SN2 reactions have also been reported by our coworkers and ourselves (Gonzalez-Lafont et al. 1991 Truhlar et al. 1992 Tucker and Truhlar 1990 Zhao et al. 1991b, 1992). Two approaches were used for interfacing electronic structure calculations with variational transitional state theory (VST) and tunneling calculations. We analyzed both the detailed dynamics of microsolvation and also its macroscopic consequences (rate coefficient values and kinetic isotope effects and their temperature... [Pg.25]

Shao et al. recommended the use of a simultaneous fluorimetric method for the determination of the dissolution rate of dipyridamole and aspirin tablets [34]. The powdered tablets (equivalent to weight of one tablet) of dipyridamole and aspirin were dissolved in simulated digestive fluids at 37°C, cooled, and diluted to 1 L with simulated digestive juice. The solution was filtered, and a 1 mL portion of the filtrate was mixed with 0.1 M sodium hydroxide and then set aside at room temperature for 1 h. The solution was mixed with 8 mL of phosphoric acid buffer (pH 6.8) and fluorimetrically detected for dipyridamole at 493 nm (excitation at 418 nm). The coefficients of variation for within-day and within 5 days were 2% for both dipyridamole and aspirin. [Pg.257]

It is appropriate to estimate the error involved in such a complex procedure. The simplest empirical approach is to compare standard rate coefficients calculated for the same compound from different sets of data (at different temperatures or from different areas of the rate profiles). Most of the variation lies within 0.3 log units from the mean value, and it has therefore been assumed that the maximum error should be 0.35 log units [78JCS(P2)861], this being subject to the qualification noted above regarding the assumption of a constant AH value. [Pg.34]

Although the theoretical values for the slopes are often obtained from kinetic data at room temperature, this is not the case (and the recalculation of the free-base rate coefficients also fails) for data obtained at higher temperature. This discrepancy may be attributed to the variation of acidity function with temperature. In a redetermination of the variation of HR... [Pg.49]

If the gases flow continously out, as in the case of a rocket motor, the pressure remains almost constant throughout the combustion period. The linear burning rate and its variation with the temperature and pressure may be determined in a Crawford Bomb. The temperature coefficient of the burning rate is the variation per degree of temperature increase at constant pressure. The dependance on pressure is characterized by the pressure exponent (see above). [Pg.96]


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See also in sourсe #XX -- [ Pg.18 ]




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Temperature rates

Temperature variations

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