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Absorption rates, computational

The specific absorption rate = i (Cj,B ) is a func tion of h and may be computed by combining the rate equation... [Pg.1366]

An analysis of the solubility and absorption rates for the 254 drugs considered here shows that the 25 compounds fulfilling the condition of 0.25a - XQ > 5.0 and HQi > 20.0 have solubility of only a few micrograms per milHHter, and are absorbed at the level of only a few percents. Such properties are too poor for drug development, so these parameters can be useful as an alert in computer-aided compound selection. [Pg.148]

Fig. 15 Computer plots for (a) absorption rate constant and (b) time of plasma peak. (From Ref. 31.)... [Pg.623]

In this case it is assumed that a pure gas A is being absorbed in a solvent eontaining a chemically inert component B. Both the solvent and B are not volatile and the fraction of A in the liquid bulk equals zero. The binary mass transfer coefficient Kij between A and the solvent in eq. (4) is given a typical value of 1 X lO" m/s, whereas the total concentration of the liquid Cr is set to 1 x 10 mol/m, also a typical value. Parameters to be chosen are the solubility of A, x i, the fraction of B in the solvent Xg, the mass transfer coefficient between A and B, K/ g and the mass transfer coefficient between B and the solvent, Kg. The results of the calculations are presented in Table 1. Since both the solvent and component B possess a zero flux. Kgs has no influence on the mass transfer process and has therefore been omitted. The computed absorption rate has been compared with the absorption rate obtained from analytical solutions for the following cases. [Pg.5]

For a number of years, computers have been successfully utilized in pharmacokinetics to 1) fit blood-level data to the appropriate model (single, two, or multiple compartments) and to calculate model parameters, such as absorption rate constant, elimination rate constant, half-life, and volume of distribution 2) evaluate... [Pg.738]

Fig. 2 Computer-simulated plasma concentration-time curves that show effects of absorption rate on the time to reach steady-state plasma concentrations. When absorption rate is higher than the elimination rate, the time to reach steady-state concentration is dependent on the elimination rate (A,B,C). When absorption rate is lower than elimination rate, the time to reach steady-state concentration is dependent on the absorption rate (D). Fig. 2 Computer-simulated plasma concentration-time curves that show effects of absorption rate on the time to reach steady-state plasma concentrations. When absorption rate is higher than the elimination rate, the time to reach steady-state concentration is dependent on the elimination rate (A,B,C). When absorption rate is lower than elimination rate, the time to reach steady-state concentration is dependent on the absorption rate (D).
Just as inputs can arrive faster than they can be processed by the controller, the absorption rate of the actuators and recipients of output from the controller must be considered. Again, the problem usually arises when a fast output device (such as a computer) is providing input to a slower device, such as a human. Contingency action must be designed when the output absorption rate limit is exceeded. [Pg.271]

The simultaneous absorption of two gases that react with the solvent at different rates has been studied by Ouwerkerk. The specific system which he selected for analysis was the selective absorption of HjS in the presence of CO2 into amine solutions. This operation is a feature of several commercially important gas purification processes. Bench scale experiments were conducted to collect the necessary pi sico-chemical data. An absorption rate equation was developed for H2S based on the assumption of instantaneous reaction. For CO2 it was found that the rate of absorption into diisopropanolamine (DIPA) solution at low CO2 partial pressures can best be correlated on the l is of a fast pseudo-first-order reaction. A computer program was developed which took into account the competition between H2S and CC>2 when absorbed simultaneously, and the computer predictions were verified by experiments in a pilot scale absorber. Finally, the methodology was employed successfully to design a large commercial plant absorber. [Pg.402]

Numerical calculations have shown that the use of this relation in reactor calculations yields an overestimate of the critical mass. This may be seen from the fact that in estimating the removal rate (effectively the neutron absorption rate) we have ignored the contributions of the higher modes in (8.314). Thus the neutron production rate in the core has been underestimated, and the resulting computation of the critical mass will be larger than that required to maintain the system at steady state. For this reason we call (8.316) the upper approximation. [Pg.506]

TTiese average kj s can be used to compute the total absorption rate. Thus the average flux for the entire gas-liquid surface, per unit width, is the difference in rate of flow of A in the liquid Xy = L and aty = 0, divided by the liquid surface. This can be used with some mean concentration difference... [Pg.53]

Absorption time is the time needed to absorb a certain amount of fluid, which is strongly correlated to the probability of leakage. In this test, a diaper is laid with the backsheet side on a polyurethane-foam base and covered with a cover plate. Weights are placed on the cover plate to simulate the weight of a baby lying on the diaper. Because of the foam base, pressure is distributed equally across the diaper. The cover plate has a hole which is placed over the area where the diaper typically absorbs urine. An application tube containing an electrode connected to a computer is mounted over that hole. A set amount of synthetic urine is pumped into the application tube, and with the help of the electrode the time is measured until all liquid in the tube is absorbed by the diaper. This is repeated three to four times to simulate the repeated urination of a baby. Results are recorded as absorption rates, that is, volume per time (mL/s). [Pg.79]

The thick sohd Hne is what would occur if 6 perfectly controlled the error in the reaction probabilities. The solid line with squares is the average of the error, and the dashed line with circles is the maximum error from the systems studied all as a function of S. We see the remarkable result that, even in the worst case of maximum error, 6 reliably controls the error in the reaction probability. Thus, even if we were studying a system in resonance (i.e, a small effective absorption rate F) requiring a larger TabCi would not change. This kind of control is an important aspect of any numerical method, i.e. that one be able to determine a priori how accurate the calculation is and consequently how much computational effort is required. [Pg.123]

PPO is an engineering thermoplastic known for its excellent radiation resistance, oxidation resistance, thermal stability and electrical properties. Typical applications include television cabinets, car spoilers and laptop computer outer shells. PPO has one of the lowest water absorption rates of any of the engineering thermoplastics and has excellent flame retardance, electrical properties and impact strength. [Pg.42]

Propose a model for this system in the form of a BVP, specifying both the set of PDEs and the appropriate boundary conditions. Assiune a film of thickness b = I mm, length L = 50 cm, inclined at 0 = 80°. Use effective binary diffusivities in the film of Dj = 10 cm /s, j = A, B, AB. Compute the steady-state concentration profile of each species within the film and the average absorption rate per unit area. Then, decrease the rate constant to zero to see what the mass transfer rate would be without reaction. [Pg.316]


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