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Concentration relationships

Viscosity—Concentration Relationship for Dilute Dispersions. The viscosities of dilute dispersions have received considerable theoretical and experimental treatment, partly because of the similarity between polymer solutions and small particle dispersions at low concentration. Nondeformable spherical particles are usually assumed in the cases of molecules and particles. The key viscosity quantity for dispersions is the relative viscosity or viscosity ratio,... [Pg.173]

Emulsions. Because emulsions are different from dispersions, different viscosity—concentration relationships must be used (71,87). In an emulsion the droplets are not rigid, and viscosity can vary over a wide range. Several equations have been proposed to account for this. An extension of the Einstein equation includes a factor that allows for the effect of variations in fluid circulation within the droplets and subsequent distortion of flow patterns (98,99). [Pg.174]

Systems of two or more hydrocarbon, chemical and water components may be non-ideal for a variety of reasons. In order to accurately predict the distillation performance of these systems, accurate, experimental data are necessary. Second best is the use of specific empirical relationships that predict tvith varying degrees of accuracy the vapor pressure-concentration relationships at specific temperatures and pressures. [Pg.5]

Example I. Hard lead (antimoniacal) can be used in sulphuric acid to quite high concentration but it displays an increasing corrosion rate with increasing temperature and concentration. Relationships are complex, but the general form of the equation may be used ... [Pg.409]

As mentioned earlier, the quantitative concentration relationship that exists at equilibrium is shown in the Equilibrium Law Relation ... [Pg.174]

It should be noted that the calculation is based upon an assumption of a linear absorbance/concentration relationship and this may only apply over short concentration ranges. [Pg.753]

To be able to control the PCM properties in the desired direction it is very important to know the relationships between the material composition and properties. Since melt viscosity is one of the most important characteristics of processability of PCM, there have naturally been a large number of equations proposed for describing the viscosity versus filler concentration relationship. For the purpose of this review it may be most interesting to discuss the numerous equations which have in common the use of the value < representing the maximum possible volume filling by filler particles packed in one way or another, as the principal constant. Here are a few examples of such equations. [Pg.7]

Rheological methods of measuring the interphase thickness have become very popular in science [50, 62-71]. Usually they use the viscosity versus concentration relationships in the form proposed by Einstein for the purpose [62-66], The factor K0 in Einstein s equation typical of particles of a given shape is evaluated from measurements of dispersion of the filler in question in a low-molecular liquid [61, 62], e.g., in transformer oil [61], Then the viscosity of a suspension of the same filler in a polymer melt or solution is determined, the value of Keff is obtained, and the adsorbed layer thickness is calculated by this formula [61,63,64] ... [Pg.8]

The three deformation regions are also apparent on the strength versus concentration relationships. The most dramatic drop of the yield point was observed at small filler concentrations (up to 0.15). On further filling the characteristic remained almost unchanged. [Pg.31]

Fig. 3. Conductivity-concentration relationship of composite depending on manufacture technique [33)... Fig. 3. Conductivity-concentration relationship of composite depending on manufacture technique [33)...
One should note overall, that while some of these suggested mechanisms may in the future prove to have a role in the control of smooth muscle contraction, in chemically skinned preparations maximum force development follows activation by the MLCK active subunit in extremely low Ca " ion concentrations. The conclusion can hardly be avoided that phosphorylation alone is sufficient for activation, and if another mechanism is involved, it is not necessary for the initial genesis of force. If such mechanisms are operative, then they might be expected to run in parallel or consequent to myosin phosphorylation. A possible example of this category of effect is that a GTP-dependent process (G-protein) shifts the force vs. Ca ion concentration relationship to lower Ca ion concentrations. This kind of mechanism calls attention to the divergence of signals along the intracellular control pathways. [Pg.178]

Theoretical treatment of the viscosity-concentration relationship for polyelectrolyte solutions would involve both the cumbersome statistics of highly elongated chains beyond the range of usefulness of the Gaussian approximation and the even more difficult problem of their electrostatic interactions when highly charged. There appears to be little hope for a satisfactory solution of this problem from theory. Fuoss has shown, however, that experimental data may be handled satisfactorily through the use of the empirical relation ... [Pg.636]

All three monomers were soluble In the chromatographic mobile phase and standard analytical techniques were used for calibration. Solutions containing known quantities of monomer were chromatographed to establish a peak area concentration relationship for the appropriate detector. The homopolymer of methylacrylate was also soluble In the mobile phase. Thus, both UV and refractometer detectors were calibrated for polymerized methylmethacrylate by chromatographing solutions of PM ... [Pg.79]

Analytical solution also shows that the rate of change of volume in the tank is equal to the net volumetric flow rate, but only for a linear density concentration relationship. Check the above analytical conclusions numerically and test the case of a non-linear density-concentration relationship. [Pg.495]

E Kruger-Thiemer. Pharmacokinetics and dose-concentration relationships. In EJ Ariens, ed. Physico-Chemical Aspects of Drug Action. Elmsford, NY Pergamon Press, 1968, pp. 63-113. [Pg.74]

Figure 1 A schematic conceptualization of the three-compartment model of CNS penetration demonstrating the importance of intercompartmental unbound compound concentration relationships to target pharmacology interactions [21,22,25-28]. An exaggerated synapse is shown in the brain compartment to emphasize the locale of transmembrane proteins (squares) versus intracellular (oval) targets, and the matrix compound concentrations dictating their respective ligand-target interactions. Figure 1 A schematic conceptualization of the three-compartment model of CNS penetration demonstrating the importance of intercompartmental unbound compound concentration relationships to target pharmacology interactions [21,22,25-28]. An exaggerated synapse is shown in the brain compartment to emphasize the locale of transmembrane proteins (squares) versus intracellular (oval) targets, and the matrix compound concentrations dictating their respective ligand-target interactions.
Careful attention to quantitative activity vs. concentration relationships, to the effect of interaction terms in combinations (using computerized regression analysis and experimental design), and careful observation of the manner in which one mode of action supports and reinforces another, seems likely to lead us to the next generation of highly efficient flame retardant systems. [Pg.106]

Figure 3. Schematic view of the substrate uptake rate versus concentration relationship as described by the whole-cell Michaelis-Menten kinetics. Q is the substrate uptake rate, <2max the biologically determined maximum uptake rate per biomass, c the substrate concentration, and Kj the whole-cell Michaelis constant, i.e. the concentration resulting in 2max/2 (mass of substrate per volume). At c Figure 3. Schematic view of the substrate uptake rate versus concentration relationship as described by the whole-cell Michaelis-Menten kinetics. Q is the substrate uptake rate, <2max the biologically determined maximum uptake rate per biomass, c the substrate concentration, and Kj the whole-cell Michaelis constant, i.e. the concentration resulting in 2max/2 (mass of substrate per volume). At c <C Kj, the slope of the first-order part of the uptake-rate versus concentration plot can be expressed by the specific affinity aA (volume per biomass per unit time), which equals...
Because of its prominent appearance in the whole cell Michaelis-Menten equation, Kt is frequently mistaken as a measure of the substrate affinity. However, from equations (2) and (4), it becomes obvious that the activity versus concentration relationship is characterised by the two independent parameters, 2max, as a descriptor of the zero-order part at high substrate concentration, and a°A, as a descriptor of the slope of the first-order part of the curve. In his much-cited review paper, Button [9] has listed the specific affinities of various organisms for a range of carbon sources and other elements. Reported variations for the same substrates extend over up to four orders of magnitude. Table 1 updates... [Pg.407]

Human exposures with measured concentrations were limited to occupational reports. Symptoms of exposed workers ranged from no adverse health effects to mild discomfort to frank central nervous system effects. Repeated or chronic exposures have resulted in hypothyroidism. Inhalation studies resulting in sublethal effects, such as incapacitation, and changes in respiratory and cardiac parameters were described for the monkey, dog, rat, and mouse lethality studies were available for the rat, mouse, and rabbit. Exposure durations ranged from a few seconds to 24 hours (h). Regression analyses of the exposure duration-concentration relationships for both incapacitation and lethality for the monkey determined that the relationship is C2xt= k and that the relationship for lethality based on rat data is C2 6xt=k. [Pg.229]

Generally designed to establish an effect-concentration relationship (range of concentrations). [Pg.742]

Drug metabolism has been recognized as one of the key factors in the discovery of new chemical entities. A lead compound needs to not only interact with the target enzyme/receptor but also remain over a certain threshold concentration at the site of action for a defined period to produce the desired therapeutic effect. Drug metabolism together with absorption, distribution and excretion are among the factors that influence the final time-concentration relationship of drugs and therefore the potential efficacy of the compound [1],... [Pg.247]

The method is capable of detecting as little as 5 pig protein and a calibration curve is necessary because of the variations between different proteins and the non-linearity of the absorbance-concentration relationship. [Pg.394]

The steady state material and energy balances for the evaporator are listed in Table VI and VII, and the notation in Table VIII. Table IX lists the enthalpy relationships for the various streams as well as the boiling point versus pressure and concentration relationships in functional form for NaOH solutions and pure water. The list of unknown variables and the numbers assigned to each is given in Table X. At this stage in the analysis there are 25 equations and 27 unknown variables. Another pair of equations comes from the problem statement in which the following is given... [Pg.230]

Ingestion of yage in healthy volunteers yields plasma concentrations of 10 to 250 ng/mL for harmine and 1.0 to 25.0 ng/mL of harmaline (Callaway et al. 1996). The dose-concentration relationships are linear in this range. DMT shows linear dose-concentration relationships for plasma concentrations between 5 and 1000 ng/mL. Systemically administered j8-carbolines penetrate brain tissue, with relatively even distribution (Moncrieff 1989). DMT taken alone is not absorbed well orally. It may be taken as a snuff or smoked, or mixed with other plants to improve absorption. [Pg.368]


See other pages where Concentration relationships is mentioned: [Pg.475]    [Pg.69]    [Pg.394]    [Pg.60]    [Pg.138]    [Pg.578]    [Pg.595]    [Pg.56]    [Pg.58]    [Pg.62]    [Pg.62]    [Pg.65]    [Pg.52]    [Pg.313]    [Pg.291]    [Pg.293]    [Pg.15]    [Pg.192]    [Pg.123]    [Pg.355]   
See also in sourсe #XX -- [ Pg.8 ]




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Absorbance-concentration relationship

Activity relationship with concentration

Adsorption theories, two-dimensional equations of state and surface tension-concentration trends a clear relationship

Concentration relationship with ionic strength

Concentration-duration relationships

Concentration-effect relationship

Concentration-effect relationship description

Concentration-effect relationship, definition

Concentration-response relationship

Conversion-concentration relationship

Current-concentration relationships, potential

Current-concentration relationships, potential voltammetry

Dose-concentration-effect relationship

Ionic concentration relationship with

Linear relationship between the concentrations

Metabolism rate-concentration relationship

Micelle ordering, relationship concentration

Mixing ratio-concentration relationship

Plasma concentration-effect-time relationships

Polymer concentration, relationship between

Potential-concentration relationships

Processes concentration relationships

Relationship Between Fluorescence Intensity and Concentration

Relationship between NaOH Concentration and Cellulose

Relationship between concentration and fractional extent in a closed environment

Relationship between density gradient and concentration

Relationship between fluorescence and concentration

Relationship with hydroxide concentration

Relationships between Low and High Concentration Regimes

Relationships between conductance and concentration

Remarks on Concentration-Effect Relationship

Substrate concentration relationship

Temperature-concentration relationship

The Relationship between Ligand Concentration and Receptor Occupancy

The del Castillo-Katz Mechanism 1. Relationship between Agonist Concentration and Fraction of Receptors in an Active Form

The intrinsic viscosity concentration and molecular weight relationships

The relationship between absorbance and concentration

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