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Bound species, correlation times

Correlation Times of the Bound Species. In order to interpret the values of Tj g it is essential to know the rotational correlation time for a particle bound rigidly to a vesicle. An... [Pg.174]

Thus, Shb(i) decays as soon as the bond breaks for the first time while Chb(1) allows bond breaking at intermediate times. In Fig. 3, we show the water-surfactant hydrogen bond lifetime correlation functions, SnB(t) and ChbM- The decay of SnB(t) for the bound species is much slower than the corresponding decay for the water-water hydrogen bond in pure water [8]. [Pg.216]

Here, p is the electron moment, y the magnetogyric ratio of the species of nucleus being observed ( H,13C, or possibly 19 F) cos is the angular precessional frequency of the electron in the field employed, and rc the characteristic average time of the modulation of the electron-nucleus interaction r is the distance from the metal to the observed nucleus i. When the ion is tightly bound to the protein, rc becomes the rotational correlation time of the protein, usually of the order of 10"8 s. [Pg.255]

Interspin Distance. The interspin distance between the electron spin (which is assumed to be located at the metal nucleus) and the protons of metal-bound waters have in most studies been inferred from crystal structure data. However, proton positions are usually not determined directly by x-ray diffraction, and distances may differ in crystal and solution phases. Noting that complexes that have similar correlation times and the same number of bound waters often exhibit proton relaxivities that differ by factors of as much as three, Atashkin et al. and Caravan et aV have explored the possibility that these differences reflect variability in the interspin distance (which enters as r ). They used pulsed ENDOR to measure the Gd-water proton distance in glasses of Gd (aq) and five Gd contrast agents. They find a single distance, r(Gd-H) = 0.31 0.01 nm, for all of these species. [Pg.554]

Kivelson and Niemann [301] showed that both An and gn correlate well with the type of ligand atoms bound to Cu2+ and with the polyhedron structure [301-303]. Therefore, changes in the EPR spectrum shape and parameters have to reflect rearrangements in the coordination sphere. Fig. 8.22 presents typical EPR spectra of Cu(II) complexes adsorbed onto nanocrystalline Ti02 particles from solutions containing Cu(N03)2 and edta at the ratio [Cu] [edta] = 1 1 at different pH values. The line-shape analysis showed that at pH 2.9 and 8.0 the EPR spectra are a superposition of the spectra of at least two different species, while the spectrum, recorded for the sample prepared at pH 6.9 with a short (1 h) time of adsorption, indicates the formation of only one Cu2+ species at the surface (type A ). [Pg.249]

Despite the high cost of the equipment required and the time taken for sample preparation and spectra acquisition, MAS-HR NMR provides invaluable stmctural information about the species present in a reaction. Only a few milligrams of resin beads are required and they can be recovered as the technique is nondestructive. The complementarity of the technique with other analytical methods is clear MALDl-TOP cannot discriminate among compounds with the same MW and depends on the ionization properties of the resin-bound compound, while PTIR depends on the presence of selected functional groups in the molecule. MAS-HR NMR can be used independently from the nature of the performed reaction and the functional groups formed or lost during the SPS step. Additionally, two-dimensional MAS techniques such as 2D-COSY (correlated spectroscopy) and TOCSY (total correlated spectroscopy) (171) or 2D-SECSY (spin echo correlation spectroscopy) (181) can provide more detailed information that may be useful in specific cases. [Pg.37]

The drawback to this approach is relating the time domain information to a chemical species or physical phenomena. Many broadline systems are used in an empirical fashion in which the results are correlated with a process control parameter or measured physical property. However, this approach alone does not indicate which chemical species is being measured. The signals could be due to water or fat content, bound water versus free water in a slurry or different phases of a polymer, crystalline, amorphous or interfacial regions. To ensure that these correlations are due to specific chemical species broadline NMR data must be related to some other primary analytical technique such as high resolution NMR. [Pg.898]

Figure 2.1 Variation in rate of extinction over time. Distant past = average extinction rates estimated from fossil record. Recent past = calculated from known extinctions (lower estimate) or known plus possibly extinct species (upper bound). Future = model derived estimates including species-area, rates of shift between threat categories, probability associated with lUCN threat categories, impact of projected habitat loss and correlation of species loss with energy consumption. Redrawn from the Millennium Ecosystem Assessment (2005)... Figure 2.1 Variation in rate of extinction over time. Distant past = average extinction rates estimated from fossil record. Recent past = calculated from known extinctions (lower estimate) or known plus possibly extinct species (upper bound). Future = model derived estimates including species-area, rates of shift between threat categories, probability associated with lUCN threat categories, impact of projected habitat loss and correlation of species loss with energy consumption. Redrawn from the Millennium Ecosystem Assessment (2005)...
Dispersion interactions are absent at the Hartree-Fock level and appear for the first time in second-order perturbation theory. Gutowski et proposed that a subset of the terms in the MP2 correlation energy could be ascribed to dispersion interactions between the loosely-bound electron and the core molecular species, namely... [Pg.447]

Once absorbed, Cd is very poorly excreted, mainly in urine and feces. In humans the amount excreted daily in urine represents only about 0.005-0.015% of the total body burden [39,96]. The mean concentration of urinary Cd in people not exposed to high Cd levels is 0.5-2.0 pg/L [23] and increases with age [97-99] and body burden [2,100,101]. Smokers have higher urinary excretion than non-smokers [97,99]. Increased urinary Cd excretion occurs when tubular proteinuria develops [100,102]. Most of the Cd in urine is transported bound to MT. Tohyama et al. [103] found good correlation between urinary MT and Cd in the general population as well as in smokers [104]. Roels et al. [105] confirmed this correlation in Cd workers. Over a range of doses, an increase in urinary excretion of Cd is associated with an increase of Cd in the renal cortex [106-108]. Chronic studies on several mammalian species have shown that urinary excretion of Cd increases slowly for a considerable time but, as kidney dysfunction develops, a sharp increase in excretion occurs [5,106,107,109]. This leads to a decrease in renal and liver Cd concentrations [5,106]. [Pg.425]


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Correlation times

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