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Water prediction

Self-Test 14.11A Both carbide ions, C22- and C4, react as bases with water. Predict which carbide ion is the stronger base. Explain your answer. [Pg.735]

For aqueous solutions, ascorbate can be included in the hierarchy, while a-tocopherol has to be replaced by its water-soluble analogue trolox, which is often assumed to have the same standard reduction potential. The ordering of the antioxidants based on the two different determinations of E in water is rather similar, and it should be noted that ascorbate is the antioxidant which will regenerate the other antioxidants, with the ascorbate itself ending up being oxidised. In contrast to what was observed for DMF, the ordering in water predicts that quercetin could regenerate a-tocopherol from its oxidised form. [Pg.325]

Totrov, M. Accurate and efficient generalized Bom model based on solvent accessibility derivation and application for logP octanol/water prediction and flexible peptide docking, f Comput. Chem. 2004, 25, 609-619. [Pg.403]

Mn(II) oxidation is enhanced in the presence of lepidocrocite (y-FeOOH). The oxidation of Mn(II) on y-FeOOH can be understood in terms of the coupling of surface coordination processes and redox reactions on the surface. Ca2+, Mg2+, Cl, S042-, phosphate, silicate, salicylate, and phthalate affect Mn(II) oxidation in the presence of y-FeOOH. These effects can be explained in terms of the influence these ions have on the binding of Mn(II) species to the surface. Extrapolation of the laboratory results to the conditions prevailing in natural waters predicts that the factors which most influence Mn(II) oxidation rates are pH, temperature, the amount of surface, ionic strength, and Mg2+ and Cl" concentrations. [Pg.487]

Most of the available water content charts are applicable only to sweet lean natural gases, Moore, et al, (15) have developed a set of charts which are based on the Heidemann (8, 12) version of the SRK water prediction. The system used in this study contains nearly 6.0% carbon dioxide. The acid gases cause increased water solubility in the vapor phase. Our calculations simply verify these observations. [Pg.347]

In addition to chromate and dichrumate. inchrom-uc. Cr 0m) . exists. Postulate a structure for the inchromale ion. Compare its structure to that of PjO,h - Trichromate hydrolyzes in water Predict the hydrolysis products. [Pg.946]

The [Ti(NCS)g]3- ion exhibits a single absorption band at 544 nm. Calculate the crystal field splitting energy A (in kj/mol). Is NCS- a stronger or weaker field ligand than water Predict the color of [Ti(NCS)6]3-. [Pg.910]

The oxymercuration reaction can be run in methanol as the solvent rather than water. Predict the product of this reaction ... [Pg.462]

This type of oscillatory hydration was previously observed experimentally in interactions between mica surfaces in water,16 and has been associated with the layering of water in the vicinity of a surface.16 17 The discrete nature of the water molecules, considered hard spheres, was suggested to be responsible for these nonmonotonic interactions 18 19 however, the high fluidity of the water confined in molecularly thin films20 seems to be inconsistent with the crystallization of water predicted by the hard-sphere model.18... [Pg.487]

We must recognize, however, that our abilities may be limited by a lack of other types of data and by the limitations of the rapidly evolving science of risk assessment. In an effort to minimize these limitations, the Office of Solid Waste is investigating the best available risk assessment techniques. These include estimation of the movement of pollutants through soil, air, and water prediction of adverse human health and environmental effects on the basis of available toxicity data and prediction of the effects of simultaneous exposures to numerous toxic substances. OSW is, in addition, actively compiling data relative to the cost, applicability, and effectiveness of currently available waste treatment, storage, and disposal technologies. [Pg.119]

Morse MD, Rice SA (1982) Tfests of effective pair potentials for water predicted ice structures. J Chem Phys 76 650- 660... [Pg.524]

The dielectric spectrum of water predicted by our model refined in this way exhibits some interesting features, in good agreement with those experimentally observed ... [Pg.303]

All available publications on the kinetics of furfural formation are based on xylose in water. Thus, it is hardly surprising that these kinetics are found to be far from correct when they are applied to the pentose contained in sulfite liquor, the obvious reason being that this liquor contains substances known to react with furfural and with intermediates of the pentose-to-furfural conversion [19], with lignosulfonate being the main culprit, so that the quantity of furfural produced per unit mass of pentose is very much smaller than what kinetics in water predict. In other words, the kinetics of furfural formation in water must he supplemented by further loss terms. So far, none of the respective rate constants have been determined. Only an overall yield for special circumstances can he given in a later chapter. [Pg.22]

Hnally, notice that the second half reaction in Table 7-3 is part of the final reaction in aeiobic inspiration where oxygen accepts electrons to form water. Predictably, this reaction has a high positive potential. [Pg.113]

Figure 2. Reduced slope As(T) of the vapor pressure curve (T) for water predicted -A- - by the generalized WMG-model and —0—- by the analytic expansion along CXC in comparison with —B— the actual data the possible reason of near-critical singularities at subcritical temperatures is also shown for T <2,5-10. ... Figure 2. Reduced slope As(T) of the vapor pressure curve (T) for water predicted -A- - by the generalized WMG-model and —0—- by the analytic expansion along CXC in comparison with —B— the actual data the possible reason of near-critical singularities at subcritical temperatures is also shown for T <2,5-10. ...
Figure 3. Variants of the FEOS-coefficient a(T) for water predicted -9- a - by the actual values As(rf -A- - by the WMG- model a(T) at bo - by the low-temperature variant of FEOS ... Figure 3. Variants of the FEOS-coefficient a(T) for water predicted -9- a - by the actual values As(rf -A- - by the WMG- model a(T) at bo - by the low-temperature variant of FEOS ...
Figure 4. Variants of the FEOS-coefficient b(T) for water predicted ... Figure 4. Variants of the FEOS-coefficient b(T) for water predicted ...
Figure 9. Hypothetical phase diagram of water predicted by the generalized WMG-model. Figure 9. Hypothetical phase diagram of water predicted by the generalized WMG-model.
Figure 10. Hypothetical phase diagram of water predicted by the generalized WMG- model (see also Fig. 9) as a superposition of asymmetry (CXC-WMG-spinodal with the T-dependent diameter pd(T)) and symmetry (WMG-quasibinodal with the weakly T-dependent diameter (T) at-Ps(T)). Figure 10. Hypothetical phase diagram of water predicted by the generalized WMG- model (see also Fig. 9) as a superposition of asymmetry (CXC-WMG-spinodal with the T-dependent diameter pd(T)) and symmetry (WMG-quasibinodal with the weakly T-dependent diameter (T) at-Ps(T)).
Both sodium and cesium react with water. Predict the products of the reactions of sodium and cesium with water. Write balanced equations for both reactions. [Pg.298]

These retrospective DBCP monitoring data are presently being transferred to computer files. When this work is completed, analysis of spatial and temporal trends and possible correlations with soil and water predictive factors will be attempted. [Pg.502]

The valence bond description of methane, ammonia, and water predicts tetrahedral geometry. In methane, where the carbon valence is four, all the hybrid orbitals are involved in bonds to hydrogen. In ammonia and water, respectively, one and two nonbonding (unshared) pairs of electrons occupy the remaining orbitals. While methane... [Pg.4]

Figure 1. Fugacity coefficients for gaseous water (—), predicted (O), calculated from steam tables. Figure 1. Fugacity coefficients for gaseous water (—), predicted (O), calculated from steam tables.
Another matter of continuing controversy is the contribution (if any) that the bent A2 excited electronic state of water, predicted [45, 48, 94] to lie in the energy range spanned by the B—X continuum, makes to the observed... [Pg.234]

As discussed later in this chapter, metal ion partitioning appears to be governed by the interactions of the ions with water. Predictive tools are being developed [23] utilizing such thermodynamic parameters as an ion s Gibbs free energy of hydration (AGhyj). [Pg.143]

Figure 12.8 Schematic diagram showing the effect of absorbed moisture content on the glass transition temperature(s) in TGAP-DDS resin. The two broad ranges in experimental measurements illustrate the development of a secondary Tg peak. The GIM calculations using the parameters for singly (upper) and doubly (lower) hydrogen-bonded water predict this effect well. Figure 12.8 Schematic diagram showing the effect of absorbed moisture content on the glass transition temperature(s) in TGAP-DDS resin. The two broad ranges in experimental measurements illustrate the development of a secondary Tg peak. The GIM calculations using the parameters for singly (upper) and doubly (lower) hydrogen-bonded water predict this effect well.
Understanding why Group 1 elements react vigorously with water Predicting chemical trends of elements with valence electrons in s orbitals P- Recognizing a diagonal relationship between elements on the periodic table... [Pg.171]

Identification models These models derive parameter values for regional ground-water prediction models through the analysis of long-term historical data derived from pump tests or well observation Good for estimations for groundwater quantity Parameters not adequately estimated for groundwater quality Computer support required Difficult to select best parameter value Not widely applied to practical problems... [Pg.343]

Structure-activity considerations. Predictions of the adverse effects that a substance may have can sometimes be made on the basis of a knowledge of the chemical structure of the substance and an association of various features of that structure with particular types of toxicity. It must be emphasised that this is a field for the expert and uninformed structure-activity predictions can be dangerously misleading. There are some areas, however, in which experts may make such predictions with a fair degree of accuracy. Perhaps the simplest example would be the prediction of irritant or corrosive properties for a molecule likely to give rise to acidic conditions in contact with water. Predictions of mutagenic activity may also in some cases be made by experts on the basis of the potential of the molecule to interact with DNA. [Pg.85]

Experimental (methanol + water, Predicted Experimental (methanol + Predicted Experimental (methanol + Predicted lAlog... [Pg.2357]


See other pages where Water prediction is mentioned: [Pg.166]    [Pg.165]    [Pg.247]    [Pg.349]    [Pg.233]    [Pg.123]    [Pg.143]    [Pg.84]    [Pg.169]    [Pg.202]    [Pg.490]    [Pg.119]    [Pg.509]    [Pg.510]    [Pg.123]    [Pg.184]   
See also in sourсe #XX -- [ Pg.253 ]




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