Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Models titration

Figure 10-4. The double- and single-site titration models for His and Asp groups [42]. (A) In the double site model, only one X is used for describing the equilibrium between the protonated and deprotonated forms, while the tautomer interversion process is represented by the variable x. (B) In the single-site model, protonation at different sites is represented by different X variables. HSP refers to the doubly protonated form of histidine. HSD and HSE refer to the singly protonated histidine with a proton on the h and e nitrogens, respectively. ASP1 and ASP2 refer to the protonated carboxylic acid with a proton on either of the carboxlate oxygens... Figure 10-4. The double- and single-site titration models for His and Asp groups [42]. (A) In the double site model, only one X is used for describing the equilibrium between the protonated and deprotonated forms, while the tautomer interversion process is represented by the variable x. (B) In the single-site model, protonation at different sites is represented by different X variables. HSP refers to the doubly protonated form of histidine. HSD and HSE refer to the singly protonated histidine with a proton on the h and e nitrogens, respectively. ASP1 and ASP2 refer to the protonated carboxylic acid with a proton on either of the carboxlate oxygens...
Fig. 2.3. Configuration of a reaction path as a titration model. One or more reactants are gradually added to the equilibrium system, as might occur as the grains in a rock gradually react with a pore fluid. Fig. 2.3. Configuration of a reaction path as a titration model. One or more reactants are gradually added to the equilibrium system, as might occur as the grains in a rock gradually react with a pore fluid.
This type of calculation is known as a titration model because the calculation steps forward through reaction progress , adding an aliqout of the reactant at each step A . To predict, for example, how the a rock will react with its pore fluid, we can titrate the minerals that make up the rock into the fluid. The solubility of most minerals in water is rather small, so the fluid in such a calculation is likely to become saturated after only a small amount of the minerals has reacted. Reacting on the order of 10-3 moles of a silicate mineral, for example, is commonly sufficient to saturate a fluid with respect to the mineral. [Pg.14]

In light of the small solubilities of many minerals, the extent of reaction predicted by this type of calculation may be smaller than expected. Considerable amounts of diagenetic cements are commonly observed, for example, in sedimentary rocks, and crystalline rocks can be highly altered by weathering or hydrothermal fluids. A titration model may predict that the proper cements or alteration products form, but explaining the quantities of these minerals observed in nature will probably require that the rock react repeatedly as its pore fluid is replaced. Local equilibrium models of this nature are described later in this section. [Pg.14]

The results of fixed-fugacity paths can differ considerably from those of simple titration models. Consider, for example, the oxidation of pyrite to goethite,... [Pg.15]

Simple reactants are those added to (or removed from) the system at constant rates over the reaction path. As noted in Chapter 2, we commonly refer to such a path as a titration model, because at each step in the process, much like in a laboratory titration, the model adds an aliquot of reactant mass to the system. Each reactant Ar is added at a rate nr, expressed in moles per unit reaction progress, . Negative values of nr, of course, describe the removal rather than the addition of the reactant. Since is unitless and varies from zero at the start of the path to one at the end, we can just as well think of nr as the number of moles of the reactant to be added over the reaction path. [Pg.193]

Figure 2.4. Schematic representation of a mixing or titration model. The reactant can be a mineral, a chemical reagent, a glass, a gas, another aqueous solution, a rock , or anything for which the chemical stoichioimetry can be defined. Figure 2.4. Schematic representation of a mixing or titration model. The reactant can be a mineral, a chemical reagent, a glass, a gas, another aqueous solution, a rock , or anything for which the chemical stoichioimetry can be defined.
Not only do minerals dissolve behind the moving front, but they also precipitate ahead of the front, because the solution changes pH ahead of the flow front, and they become supersaturated. This cannot be simulated by the titration model. [Pg.213]

Table 10.2. phreeqc input for a reactive transport model to simulate fluid pH buffering at the Bear Creek site. This is a better alternative to the titration model in described Chapter 8. [Pg.214]

The redox status of an aqueous system is described by the concentrations of the oxidized and reduced species of all system components. Redox systems, generally not at equilibrium as the result of kinetically slow redox reactions, are poorly characterized by intensity factors (Ej or pE) alone. Capacity factors, which reflect the total concentration of relevant species, are conservative parameters that can be meaningful guides to the redox status of aqueous systems. Oxidative capacity (OXC) is defined as a conservative quantity that incorporates a comprehensive chemical analysis of the redox couples of an aqueous system into a single descriptive parameter. OXC classifies aqueous systems in terms of well-defined geochemical and microbial parameters (e.g., oxic, sulfidic). Examples of model and actual groundwater systems are discussed to illustrate the concept. A redox titration model is another tool that is useful in describing a redox system as it approaches an equilibrium state. [Pg.368]

The biocatalyst mass obtained was 90.01 g, with 23% humidity, determined by the Karl Fischer automated titration model D18, Mettler. [Pg.316]

The second and third groups include slow chemical processes, for which the relaxation time is significantly different from 0 (At > 0). Over the time At values of chemical affinity A., saturation index SI. and rate of reaction tend to 0. That is why the considered closed models of mass transfer may be considered titration models, in which added portions of minerals sequentially lower values A., SI. or A. (equation (1.112)). Usually in a study of interaction between water and rock the researcher uses the overall progress variable of mass transfer (equation (2.256)), which in the course of computation sequentially lowered to 0. [Pg.555]

Solving of the direct problem is based, as mentioned above, on a series of the water titration model (water unsaturated with mineral or rock). Here, the inserted data include both content of basis water components and mineral composition of the minerals or rock as a whole. The computation... [Pg.555]

A comprehensive review of different titration methods and their implementation with different equilibrium solution phase models is beyond the scope of this chapter this material has been recently reviewed in more detail elsewhere [37,39,41]. However, it is reasonable here to recount the generic steps which can be used to derive an appropriate solution phase equilibrium titration model. These steps are considered only for a 1 1 model, but can be readily expanded with some effort to provide models that can be used for higher-order binding stoichiometries [53]. [Pg.217]

Figure 8.6 Titration of ligands SB202190 (reference ligand) and VX-745 with tyrosine p38a using an internal standardized titration model. Dissociation constants obtained for nominal and adjusted active protein concentrations are shown bracketed by model curves representing hypothetical stronger l Figure 8.6 Titration of ligands SB202190 (reference ligand) and VX-745 with tyrosine p38a using an internal standardized titration model. Dissociation constants obtained for nominal and adjusted active protein concentrations are shown bracketed by model curves representing hypothetical stronger l<o = 1 nM) and weaker (/< = 10nM) binding affinities. Reprinted with permission from Ref [94] (Copyright 2008 John Wiley. Sons, Inc.)...
Figure 8.8 Example small-molecule ESI-MS titration experiment demonstrating instrumental limitations in the fit of experimental data to a standard titration model (Eq. (8.9)) at low (A) and high (C) concentrations. Figure 8.8 Example small-molecule ESI-MS titration experiment demonstrating instrumental limitations in the fit of experimental data to a standard titration model (Eq. (8.9)) at low (A) and high (C) concentrations.
Guine, V, Spadini, L., Sarret, G., Muris, M., Delolme, C. Gaudet, J. (2006) Zinc sorption to three gram-negative bacteria combined titration, modeling, and EXAFS study. Environmental Science Technology, 40, 1806-1813. [Pg.289]

All titrations were performed using an auto titrator Model AT-97 manufactured by Mayura Analytical Pvt. Ltd., Bangalore, India. This auto titration system consists of a motor-driven titrant dispenser, a mechanical stirrer and electrodes coupled to a pH/ion analyzer and controlled by a personal computer for automatic titration and data acquisition and processing. The titrant was added from weight burette. The e.m.f. readings were recorded with an autotitrator using platinum as indicator electrode and saturated calomel electrode as reference electrode. [Pg.106]


See other pages where Models titration is mentioned: [Pg.182]    [Pg.273]    [Pg.13]    [Pg.15]    [Pg.358]    [Pg.2305]    [Pg.121]    [Pg.24]    [Pg.113]    [Pg.7]    [Pg.15]    [Pg.17]    [Pg.554]    [Pg.558]    [Pg.396]    [Pg.285]    [Pg.260]    [Pg.260]    [Pg.1546]   
See also in sourсe #XX -- [ Pg.13 , Pg.193 , Pg.194 , Pg.195 ]

See also in sourсe #XX -- [ Pg.15 , Pg.163 , Pg.164 , Pg.165 , Pg.166 ]




SEARCH



Acid-base titration representative model

Model redox titration

Modeling titration curves

Reaction path model titration

Single-site titration model

Speciation models TITRATOR

Surface complexation models titrations

© 2024 chempedia.info