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Kinetic graphs

The kinetics of the nitration of benzene, toluene and mesitylene in mixtures prepared from nitric acid and acetic anhydride have been studied by Hartshorn and Thompson. Under zeroth order conditions, the dependence of the rate of nitration of mesitylene on the stoichiometric concentrations of nitric acid, acetic acid and lithium nitrate were found to be as described in section 5.3.5. When the conditions were such that the rate depended upon the first power of the concentration of the aromatic substrate, the first order rate constant was found to vary with the stoichiometric concentration of nitric acid as shown on the graph below. An approximately third order dependence on this quantity was found with mesitylene and toluene, but with benzene, increasing the stoichiometric concentration of nitric acid caused a change to an approximately second order dependence. Relative reactivities, however, were found to be insensitive... [Pg.224]

Following this procedure urea can be determined with a linear calibration graph from 0.143 p.g-ml To 1.43 p.g-ml and a detection limit of 0.04 p.g-ml based on 3o criterion. Results show precision, as well as a satisfactory analytical recovery. The selectivity of the kinetic method itself is improved due to the great specificity that urease has for urea. There were no significant interferences in urea determination among the various substances tested. Method was applied for the determination of urea in semm. [Pg.371]

These equations hold if an Ignition Curve test consists of measuring conversion (X) as the unique function of temperature (T). This is done by a series of short, steady-state experiments at various temperature levels. Since this is done in a tubular, isothermal reactor at very low concentration of pollutant, the first order kinetic applies. In this case, results should be listed as pairs of corresponding X and T values. (The first order approximation was not needed in the previous ethylene oxide example, because reaction rates were measured directly as the total function of temperature, whereas all other concentrations changed with the temperature.) The example is from Appendix A, in Berty (1997). In the Ignition Curve measurement a graph is made to plot the temperature needed for the conversion achieved. [Pg.105]

Nowwe can write some code that will evaluate the kinetics and the equilibrium and then graph therelev ant gas andsurfacephaseconcentrations torus all at once. The equilibrium extentofreactioncanbecomputedasfollowsforanygivenvalueoftheequilibriumconstant ... [Pg.353]

Saturation kinetics are also called zero-order kinetics or Michaelis-Menten kinetics. The Michaelis-Menten equation is mainly used to characterize the interactions of enzymes and substrates, but it is also widely applied to characterize the elimination of chemical compounds from the body. The substrate concentration that produces half-maximal velocity of an enzymatic reaction, termed value or Michaelis constant, can be determined experimentally by graphing r/, as a function of substrate concentration, [S]. [Pg.273]

If the kinetics of the reaction disobey the Michaelis-Menten equation, the violation is revealed by a departure from linearity in these straight-line graphs. We shall see in the next chapter that such deviations from linearity are characteristic of the kinetics of regulatory enzymes known as allosteric enzymes. Such regulatory enzymes are very important in the overall control of metabolic pathways. [Pg.442]

The static properties of an isolated chain constitute a good starting point to study polymer dynamics many of the features of the chain in a quiescent fluid could be extrapolated to the kinetics theories of molecular coil deformation. As a matter of fact, it has been pointed out that the equations of chain statistics and chain dynamics are intimately related through the simplest notions of graph theory [16]. [Pg.78]

The choice of the y-variable is also important. If one records a series of concentrations, or a quantity proportional to them, then this set is a valid quantity to be fitted by linear least squares. On the other hand, if the equation is rearranged to a form that can be displayed in a linear graph, then the new variable may not be so suitable. Consider the equations for second-order kinetics. The correct form for least-squares fitting is... [Pg.39]

What does tins equation tell us Because the kinetic energy of the ejected electrons varies linearly with frequency, a plot of the kinetic energy against the frequency of the radiation should look like the graph in Fig. 1.17, a straight line of slope h, the same for all metals, and have an extrapolated intercept with the vertical axis at — horizontal axis (corresponding to zero kinetic energy of the ejected electron) is at fI>/6 in each case. [Pg.135]

Figure 4. Logarithmic ion intensity-pressure graph of ethylene obtained by bombarding with H2S + of low kinetic energy... Figure 4. Logarithmic ion intensity-pressure graph of ethylene obtained by bombarding with H2S + of low kinetic energy...
In any case, what is usually obtained is a graph showing how a concentration varies with time. This must be interpreted to obtain a rate law and a value of k. If a reaction obeys simple first- or seeond-order kinetics, the interpretation is generally not difficult. For example, if the concentration at the start is Aq, the first-order rate... [Pg.294]

Figure 2. Kinetic schemes for Na channel gating (right) and the graphed time-course for single channels (solid lines, the higher position is open ) and for the population of many channels (broken line, the fraction open increases upwardly). Numbers at the arrows of the kinetic scheme are the rate constants, in 10 sec" The period of simulation is 5 msec. Computerized model courtesy of Dr. Daniel Chemoff. Figure 2. Kinetic schemes for Na channel gating (right) and the graphed time-course for single channels (solid lines, the higher position is open ) and for the population of many channels (broken line, the fraction open increases upwardly). Numbers at the arrows of the kinetic scheme are the rate constants, in 10 sec" The period of simulation is 5 msec. Computerized model courtesy of Dr. Daniel Chemoff.
The graph is not linear, so we conclude that the decomposition of NO2 does not follow first-order kinetics. Consequently, Mechanism I, which predicts first-order behavior, cannot be correct. [Pg.1068]

Constmct the appropriate graph to determine if these data are consistent with first-order kinetics. [Pg.1069]

The more usual pattern found experimentally is that shown by B, which is called a sigmoid curve. Here the graph is indicative of a slow initial rate of kill, followed by a faster, approximately linear rate of kill where there is some adherence to first-order reaction kinetics this is followed again by a slower rate of kill. This behaviour is compatible with the idea of a population of bacteria which contains a portion of susceptible members which die quite rapidly, an aliquot of average resistance, and a residue of more resistant members which die at a slower rate. When high concentrations of disinfectant are used, i.e. when the rate of death is rapid, a curve ofthe type shown by C is obtained here the bacteria are dying more quickly than predicted by first-order kinetics and the rate constant diminishes in value continuously during the disinfection process. [Pg.231]

In this example redox catalysis kinetics is governed partly by chemical reaction, i.e., the scission of C6H5S02CH3. For given concentrations of pyrene and sulphone at sweep rate v one can find values of k,k/k2 from published graphs in the case of EC processes. [Pg.1016]

For any experimental point the value of the rate constant k can be calculated directly. The arithmetic mean of these values can be considered to be the best estimate of k. The graph (X) versus t can also be plotted (see Fig. 5.4-27) and the slope, k, evaluated. The values of (X) scatter uniformly around the straight line, which indicates the proper choice of the kinetic expression. [Pg.311]

Plotting these relationships yields the graphs shown in Fig. 5.4-29. If plots for experimental data show similarity to any of these curves, the kinetic models based on rate-limiting steps corresponding to the other curves can be rejected and the model corresponding to the similar plots will be processed. [Pg.313]

The Flory principle is one of two assumptions underlying an ideal kinetic model of any process of the synthesis or chemical modification of polymers. The second assumption is associated with ignoring any reactions between reactive centers belonging to one and the same molecule. Clearly, in the absence of such intramolecular reactions, molecular graphs of all the components of a reaction system will contain no cycles. The last affirmation concerns sol molecules only. As for the gel the cyclization reaction between reactive centers of a polymer network is quite admissible in the framework of an ideal model. [Pg.170]

Fig. 15 Kinetic pH profile at low (circles) and high (squares) pH of carbuterol at 85°C. (Graphs plotted from data in Refs. 61 and 62.)... [Pg.188]

Fig. 7. Total kinetic energy release derived from velocity map images of 0(3P2) and D(2S) fragment atoms following photodissociation of OD at 226 and 243 nm, respectively. The initial vibrational state of OD is determined from energy balance with TKER = hv + E(vib)oD — Do(OD). The bar graphs show the calculated photodissociation yields for OD X2Il(v) at a vibrational temperature of 1700 K. (From Radenovic et al.97)... Fig. 7. Total kinetic energy release derived from velocity map images of 0(3P2) and D(2S) fragment atoms following photodissociation of OD at 226 and 243 nm, respectively. The initial vibrational state of OD is determined from energy balance with TKER = hv + E(vib)oD — Do(OD). The bar graphs show the calculated photodissociation yields for OD X2Il(v) at a vibrational temperature of 1700 K. (From Radenovic et al.97)...
There are several sources of irreproducibility in kinetics experimentation, but two of the most common are individual error and unsuspected contamination of the materials or reaction vessel used in the experiments. An individual may use the wrong reagent, record an instrument reading improperly, make a manipulative error in the use of the apparatus, or plot a point incorrectly on a graph. Any of these mistakes can lead to an erroneous rate constant. The probability of an individual s repeating the same error in two successive independent experiments is small. Consequently, every effort should be made to make sure that the runs are truly independent, by starting with fresh samples, weighing these out individually, etc. Since trace impurity effects also have a tendency to be time-variable, it is wise to check for reproducibility, not only between runs over short time spans, but also between runs performed weeks or months apart. [Pg.36]


See other pages where Kinetic graphs is mentioned: [Pg.286]    [Pg.38]    [Pg.405]    [Pg.39]    [Pg.387]    [Pg.274]    [Pg.435]    [Pg.197]    [Pg.135]    [Pg.167]    [Pg.190]    [Pg.259]    [Pg.49]    [Pg.458]    [Pg.249]    [Pg.156]    [Pg.70]    [Pg.5]    [Pg.816]    [Pg.816]    [Pg.1071]    [Pg.306]    [Pg.92]    [Pg.429]    [Pg.281]    [Pg.77]    [Pg.82]    [Pg.480]    [Pg.303]   
See also in sourсe #XX -- [ Pg.201 ]

See also in sourсe #XX -- [ Pg.201 ]

See also in sourсe #XX -- [ Pg.201 ]




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