Affecting factor

Ligand field splitting (in cm ]) is shown below the formula for the complexes shown.  

There is an increase of approximately 30% to 50% in A0 on going from a first-row transition metal to a second-row metal and another 30% to 50% increase on going from a second-row to a third-row metal when the same dn configuration and oxidation state are involved. Data for several complexes that illustrate this trend are shown in Table 17.3. In some cases, the splitting is approximately doubled 

Although the ideas of ligand field theory have been illustrated in this situation using the simplest (d1) case, it is possible to extend the spectroscopic study of metal complexes to include those that have other numbers of d electrons. Based on the study of many complexes, some generalizations about the ligand field splitting can be summarized as follows  

In general, the splitting in tetrahedral fields is only about half as large as that in octahedral fields. 

For divalent ions of first-row transition metals, the aqua complexes give splittings of about 7000 cm-1 to 14,000 cm-1. 

For complexes of +3 metal ions, the value of A0 is usually about 30% to 40% larger than for the same metal ion in the +2 state. 

For metal ions in the second transition series, the splitting is usually about 30% larger than for the first-row metal ion having the same number of electrons in the d orbitals and the same charge. A similar difference exists between the third and second transition series. 

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Factors Affecting the Surface Energies and Surface Tensions of Actual Crystals... 

Because J arises from the magnetic interactions of nuclei, the simplest factor affecting it is the product yjY of the two nuclear magnetogyric ratios involved. For example, in FI F is 82 FIz, i.e. x yo/yf - This totally predictable factor is sometimes discounted by quoting the reduced coupling constant =... 

As we shall see later, the limitations imposed by most solvents may prevent us from being able to utilise the very strong basic characteristics of some anions. However, at this point it is more useful to consider other factors affecting the strengths of acids. 

Two factors affect the stability of this orbital. The first is the stabilizing influence of the positively charged nuclei at the center of the AOs. This factor requires that the center of the AO be as close as possible to the nucleus. The other factor is the stabilizing overlap between the two constituent AOs, which requires that they approach each other as closely as possible. The best compromise is probably to shift the center of each AO slightly away from its own nucleus towards the other atom, as shown in figure 7-23a. However, these slightly shifted positions are only correct for this particular MO. Others may require a slight shift in the opposite direction. 

Figure 10.4-2. Factors affecting lead identifcation and optiiTiization.

Galerkin method becomes unstable and useless. It can also be seen that these oscillations become more intensified as a becomes larger (note that the factor affecting the stability is the magnitude of a and oscillatory solutions will also result using large negative coefficients). 

Conformational analysis is the study of how conformational factors affect the structure of a molecule and its physical chemical and biological properties... 

Three separate factors affect resolution (1) a column selectivity factor that varies with a, (2) a capacity factor that varies with k (taken usually as fej). and (3) an efficiency factor that depends on the theoretical plate number. 

Precision When the analyte s concentration is well above the detection limit, the relative standard deviation for fluorescence is usually 0.5-2%. The limiting instrumental factor affecting precision is the stability of the excitation source. The precision for phosphorescence is often limited by reproducibility in preparing samples for analysis, with relative standard deviations of 5-10% being common. 

Precision For samples and standards in which the concentration of analyte exceeds the detection limit by at least a factor of 50, the relative standard deviation for both flame and plasma emission is about 1-5%. Perhaps the most important factor affecting precision is the stability of the flame s or plasma s temperature. For example, in a 2500 K flame a temperature fluctuation of +2.5 K gives a relative standard deviation of 1% in emission intensity. Significant improvements in precision may be realized when using internal standards. 

Maloy, J. T. Factors Affecting the Shape of Current-Potential Curves, ... 

Many factors affect a sample s dispersion in an FIA analysis. In this experiment students study the effect of temperature on dispersion. 

There is a degeneracy factor of two associated with a n orbital compared with the nondegeneracy of a (7 orbital, so that it might be expected that the integrated intensity of the second band system would be twice that of each of the other two. However, although the second band system is the most intense, other factors affect the relative intensities so that they are only an approximate guide to orbital degeneracies. 

Several factors affect the bandshapes observed ia drifts of bulk materials, and hence the magnitude of the diffuse reflectance response. Particle size is extremely important, siace as particle size decreases, spectral bandwidths generally decrease. Therefore, it is desirable to uniformly grind the samples to particle sizes of <50 fim. Sample homogeneity is also important as is the need for dilute concentrations ia the aoaabsorbiag matrix. 

Monomer compositional drifts may also occur due to preferential solution of the styrene in the mbber phase or solution of the acrylonitrile in the aqueous phase (72). In emulsion systems, mbber particle size may also influence graft stmcture so that the number of graft chains per unit of mbber particle surface area tends to remain constant (73). Factors affecting the distribution (eg, core-sheU vs "wart-like" morphologies) of the grafted copolymer on the mbber particle surface have been studied in emulsion systems (74). Effects due to preferential solvation of the initiator by the polybutadiene have been described (75,76). 

In addition to graft copolymer attached to the mbber particle surface, the formation of styrene—acrylonitrile copolymer occluded within the mbber particle may occur. The mechanism and extent of occluded polymer formation depends on the manufacturing process. The factors affecting occlusion formation in bulk (77) and emulsion processes (78) have been described. The use of block copolymers of styrene and butadiene in bulk systems can control particle size and give rise to unusual particle morphologies (eg, coil, rod, capsule, cellular) (77). 

Odors are characterized by quaUty and intensity. Descriptive quaUties such as sour, sweet, pungent, fishy, and spicy are commonly used. Intensity is deterrnined by how much the concentration of the odoriferous substance exceeds its detection threshold (the concentration at which most people can detect an odor). Odor intensity is approximately proportional to the logarithm of the concentration. However, several factors affect the abiUty of an individual to detect an odor the sensitivity of a subject s olfactory system, the presence of other masking odors, and olfactory fatigue (ie, reduced olfactory sensitivity during continued exposure to the odorous substance). In addition, the average person s sensitivity to odor decreases with age. 

Peroxy and hydroperoxy radicals play important roles ia the knock process. A number of good reviews have discussed the details of the chemical mechanisms (16). Ignition delay (tau) has also been used for description of the chemical tendency to knock (17). The chemical factors affecting knock are... 

The exposure interval for the bed, T, is inversely proportional to the kiln rotation rate. Hence, equation 21 shows that the time constant for desorption is directly proportional to the bed depth and inversely proportional to the square root of the kiln rotation rate. However, the overriding factor affecting is the isotherm constant iC which in general decreases exponentially with increasing temperature as in equation 4. 

By way of example, tert-huty peroxyacetate [107-71-1] is more thermally stable than 3-hydroxy-1,1-dimethylbutyl peroxyneoheptanoate [110972-57-1]. Although other factors affect thermal stabiUty, the trends shown can be used to quaUtatively predict peroxyester reactivity trends. The order of activity of the R group ia peroxyesters is also observed ia other / fZ-aLkylperoxy-containing compounds. 

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