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Plasma time dependent models

In the catenary model of Fig. 39.14a we have a reservoir, absorption and plasma compartments and an elimination pool. The time-dependent contents in these compartments are labelled X, X, and X, respectively. Such a model can be transformed in the 5-domain in the form of a diagram in which each node represents a compartment, and where each connecting block contains the transfer function of the passage from one node to another. As shown in Fig. 39.14b, the... [Pg.487]

The O Flaherty Model simulates the age-dependence of lead kinetics on such factors as absorption efficiency, excretion efficiency, uptake into bone and loss from bone, and partitioning between plasma and red blood cells. The model does not incorporate age, dose rate, or time dependence of lead accumulation in every organ (e g., kidney) because the complex patterns of lead accumulation in certain tissues are not known (O Flaherty 1991a) (see Section 2.4.1). However, the basic model structure allows for additional modules to be incorporated, depending on its intended use in risk assessment. For example, additional modules that are currently being developed are a pregnancy model and a model of net bone loss in older women and men. [Pg.243]

Figure 5. Change in content of KCN (1, 2, 3) and hydrogen peroxide (1 , 2 , 3 ) depending on time of plasma treatment in model solutions with various KCN content ... Figure 5. Change in content of KCN (1, 2, 3) and hydrogen peroxide (1 , 2 , 3 ) depending on time of plasma treatment in model solutions with various KCN content ...
More complex integrated PK/PD models are necessary to link and account for a possible temporal dissociation between the plasma concentration and the observed effect. Four basic attributes may be used to characterize PK/PD models First, the link between measured concentration and the pharmacological response mechanism that mediates the observed effect (direct versus indirect link) second, the response mechanism that mediates the observed effect (direct versus indirect response) third, the information used to establish the link between measured concentration and observed effect (hard versus soft link) and, fourth, the time dependency of the involved PD parameters (time variant versus time invariant) (Danhof et al., 1993 Steimer et al., 1993 Aarons, 1999 Lees et al., 2004). The expanded and early use of PK/PD modeling in drug discovery and development is highly beneficial for increasing the success rate of drug discovery and development and will most likely improve the current state of applied therapeutics. [Pg.101]

A pharmacodynamic (PD) model describing the relationship between the observed concentration/exposure measure (e.g. the area under the plasma concentration-time profile AUC) and the observed drug effects on biomarkers, efficacy or safety measurements (or endpoints). Time dependent changes (e.g. development of tolerance) and influence of intrinsic and extrinsic factors should also be reflected in the model. [Pg.449]

In this study, in order to better understand the fundamentals of the laser-cluster interaction, we have carried out systematic investigations of the properties of X-ray radiation from high-density and high-temperature cluster plasma created by the action of superintense laser irradiation. The interrelationship between the X-ray radiation properties and ion kinetic energies has been examined for the first time via simultaneous measurements of X-ray radiation spectra and ion energy spectra. The time scale and mechanism of the X-ray emission process are discussed here based on a time-dependent plasma kinetics model. Moreover, in order to demonstrate the practical capabilities of the X-rays thus produced, pulse X-ray diffraction from an Si crystal using this source has been examined. [Pg.232]

The SAAM (Simulation, Analysis And Modeling) computer program developed by Berman and Weiss (8) was used to analyze the isotope dilution and balance data. The observed time dependent dilution of both calcium tracers in plasma, as reflected in urine at longer times, coupled with their cumulative appearance in urine and feces is used to calculate kinetic parameters of the model. The balance data are then used to calculate the steady state... [Pg.33]

A model of confined atoms in an arbitrary static electric field, which can also be solved analytically, will then be discussed in some detail. Contact will be made with results on atomic ions in non-degenerate plasmas, with illustrative examples being presented. A brief treatment follows of the time-dependent uniform electric field Feynman propagator. [Pg.65]

It is to be expected that the predictive performance of global models will detoriate over time as projects move on and produce new chemotypes not used in the generation of the model. Literature on time-dependent QSAR model behavior is stiU sparse. In a recent investigation this effect was shown for a human plasma protein binding (hPPB) model.A solution to this behavior is the use of correction libraries (see Section in.B.4.) and/or to update (rebuild) the model regularly. " An automated approach to this problem has been published and it is expected that this technology (autoQSAR) will become more widespread in the future. " ... [Pg.503]

FIGURE 3.6 Compartmental analysis for different terms of volume of distribution. (Adapted from Kwon, Y., Handbook of Essential Pharmacokinetics, Pharmacodynamics and Drug Metabolism for Industrial Scientists, Kluwer Academic/Plenum Publishers, New York, 2001. With permission.) (a) Schematic diagram of two-compartment model for compound disposition. Compound is administrated and eliminated from central compartment (compartment 1) and distributes between central compartment and peripheral compartment (compartment 2). Vj and V2 are the apparent volumes of the central and peripheral compartments, respectively. kI0 is the elimination rate constant, and k12 and k21 are the intercompartmental distribution rate constants, (b) Concentration versus time profiles of plasma (—) and peripheral tissue (—) for two-compartmental disposition after IV bolus injection. C0 is the extrapolated concentration at time zero, used for estimation of V, The time of distributional equilibrium is fss. Ydss is a volume distribution value at fss only. Vj, is the volume of distribution value at and after postdistribution equilibrium, which is influenced by relative rates of distribution and elimination, (c) Time-dependent volume of distribution for the corresponding two-compart-mental disposition. Vt is the starting distribution space and has the smallest value. Volume of distribution increases to Vdss at t,s. Volume of distribution further increases with time to Vp at and after postdistribution equilibrium. Vp is influenced by relative rates of distribution and elimination and is not a pure term for volume of distribution. [Pg.77]

Plasma processing reactors normally operate with the wafer biased at radio frequencies, typically in the range 0.1 to 13.56 MHz. Even if the ions injected at the sheath edge were monoenergetic, an lED would result in an RF (time-dependent) sheath, even in the absence of collisions. The literature on RF sheaths is voluminous. Both fluid [170-175] and kinetic (e.g., Monte Carlo) [176-180] simulations have been reported. One of the most important results of such simulations is the lED. The ion angular distribution (IAD) [74, 75] and sheath impedance (for use in equivalent circuit models) [32] are also of importance. [Pg.304]

An important feature of drug development is the estimation of pharmacokinetic parameters in animal models. Pharmacokinetics is the study of the time dependence and mechanism of absorption of a compound dosed into the body, its distribution throughout the fluids and other body tissues, the sequential metabolic transformations of the compound and its first-generation metabolites, and the elimination of the original compound and its metabolites (whence the common abbreviation ADME studies). The usual experimental raw data consist of concentrations of the test compound (and sometimes of its metabolites) in body tissues and body fluids (blood plasma, urine) as a function of time following a single dose. Extraction of quantitative parameters characterizing this behavior is determined by the theoretical model used to interpret the data. For example, if the dose is administered intravenously and the compound concentrations are measured in the blood, there will be an immediate drop of compound concentration with time as the compound is re-distributed, metabolized and excreted, but if an oral dose is used (as... [Pg.646]


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Plasma time-dependent plasmas

Time-dependent models

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