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Predicted product selectivities

Figure 7 Predicted product selectivities as a function of conversion for three different laboratory catalyst characterization test units. Figure 7 Predicted product selectivities as a function of conversion for three different laboratory catalyst characterization test units.
A prototype system implemented with the Formulogic shell has recently been reported by Pfizer [21]. The system has been designed to use preformulation data on new drugs and recommend early development formulations, predict product properties, and select processing conditions suitable for scale-up. [Pg.686]

To summarize, when the kinetic data predict that only bromonium ions or only bromocarbocations are formed, the bromination products are obtained stereospecifically and regiospecifically, respectively, whatever the solvent. Olefin brominations involving open intermediates lead to more solvent-incorporated products in methanol or acetic acid than those involving bridged ions. This chemoselectivity can be interpreted in terms of the hard and soft acid and base theory (Dubois and Chretien, 1978). Methanol assistance to intermediate formation also plays a role in determining product-selectivity (Ruasse et al, 1991). [Pg.242]

In hindsight, the primary factor in determining which approach is most applicable to a particular reacting flow is the characteristic time scales of the chemical reactions relative to the turbulence time scales. In the early applications of the CRE approach, the chemical time scales were larger than the turbulence time scales. In this case, one can safely ignore the details of the flow. Likewise, in early applications of the FM approach to combustion, all chemical time scales were assumed to be much smaller than the turbulence time scales. In this case, the details of the chemical kinetics are of no importance, and one is free to concentrate on how the heat released by the reactions interacts with the turbulent flow. More recently, the shortcomings of each of these approaches have become apparent when applied to systems wherein some of the chemical time scales overlap with the turbulence time scales. In this case, an accurate description of both the turbulent flow and the chemistry is required to predict product yields and selectivities accurately. [Pg.21]

A second use of this type of analysis has been presented by Stewart and Benkovic (1995). They showed that the observed rate accelerations for some 60 antibody-catalysed processes can be predicted from the ratio of equilibrium binding constants to the catalytic antibodies for the reaction substrate, Km, and for the TSA used to raise the antibody, Kt. In particular, this approach supports a rationalization of product selectivity shown by many antibody catalysts for disfavoured reactions (Section 6) and predictions of the extent of rate accelerations that may be ultimately achieved by abzymes. They also used the analysis to highlight some differences between mechanism of catalysis by enzymes and abzymes (Stewart and Benkovic, 1995). It is interesting to note that the data plotted (Fig. 17) show a high degree of scatter with a correlation coefficient for the linear fit of only 0.6 and with a slope of 0.46, very different from the theoretical slope of unity. Perhaps of greatest significance are the... [Pg.280]

Again, points on the curve were the measured acrolein production rates, and the line is the predicted production rate based on the current and the stoichiometry according to eq 9. At higher conversions, we observed significant amounts of CO2 and water, sufficient to explain the difference between the acrolein production and the current. It should be noted that others have also observed the electrochemical production of acrolein in a membrane reactor with molybdena in the anode. The selective oxidation of propylene to acrolein with the Cu—molybdena— YSZ anode can only be explained if molybdena is undergoing a redox reaction, presumably being oxidized by the electrolyte and reduced by the fuel. By inference, ceria is also likely acting as a catalyst, but for total oxidation. [Pg.620]

Many of the 60 known reactions catalyzed by monoclonal antibodies involve kinetically favored reactions e.g., ester hydrolysis), but abzymes can also speed up kinetically disfavored reactions. Stewart and Benkovic apphed transition-state theory to analyze the scope and limitations of antibody catalysis quantitatively. They found the observed rate accelerations can be predicted from the ratio of equilibrium binding constants of the reaction substrate and the transition-state analogue used to raise the antibody. This approach permitted them to rationalize product selectivity displayed in antibody catalysis of disfavored reactions, to predict the degree of rate acceleration that catalytic antibodies may ultimately afford, and to highlight some differences between the way that they and enzymes catalyze reactions. [Pg.115]

Randomly selected sequences were independently synthesized and compared to those cleaved from the crowns. The data gathered by high-performance liquid chromatography and mass spectrometry unequivocally and positively confirmed the predicted product distribution. [Pg.112]

FCC catalyst testing prior to use in commercial reactors is essential for assuring acceptable performance. Purely correlative relations for ranking catalysts based on laboratory tests, however, can be erroneous because of the complex interaction of the hydrodynamics in the test equipment with the cracking kinetics. This paper shows how the catalyst activity, coke-conversion selectivity and other product selectivities can be translated from transient laboratory tests to steady state risers. Mathematical models are described which allow this translation from FFB and MAT tests. The model predictions are in good agreement with experimental data on identical catalysts run in the FFB, MAT and a laboratory riser. [Pg.166]

TS-2 was shown to be almost indistinguishable from TS-1, as predicted by similarity of structures and active sites [46]. Ti-Beta zeolites, with and without A1 in the structure, were less effective than TS-1. The yields based on hydrogen peroxide, just above 60%, were typical of rather modest catalysts. Apparently, product selectivity was influenced by the A1 content. The relatively hydrophilic Ti,Al- 3 produced catechol and hydroquinone in nearly equimolar amounts [50]. The Al-free Ti-p showed a higher catechol selectivity, with an ortho/para ratio of 2 [47]. In both cases, the greater spaciousness of pores favoured ortho hydroxylation. For a useful comparison, the orthojpara ratio on medium-pore TS-1 was 0.77 under analogous conditions. [Pg.715]

This model also predicts that selectivity for the tranr-fused cycloadducts in nonatriene (n = 0) or deca-triene (n = 1) cyclizations should increase as size of the coefficients at C 2)IC S + n) are increased relative to those at C(l)/C(9 + n), that is, as the polarization of the dienophile or diene is increased. Tables 1 and 2 summarize results of intramolecular Diels-Alder reactions that provide a test of this propo-gai.24.25 it ig tiiat an electron-releasing Et N group at C(9) of the nonatrioioate system leads to a substantial increase in selectivity for the trans-fased product (compare entries 4-6, Table 1). Increased trans stereoselectivity also occurs with C(9)-alkoxy-substituted nonatrienes. A similar effect... [Pg.516]


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Predicted product selectivities conversion

Predicting products

Prediction production

Predictions, selectivity

Product prediction

Product selection

Productivity prediction

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