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Simulation spectra

The most obvious feature of these chemical shifts is that the closer the car bon is to the electronegative chlorine, the more deshielded it is. Peak assignments will not always be this easy, but the conespondence with electronegativity is so pronounced that spectrum simulators are available that allow reliable prediction of chemical shifts from structural formulas. These simulators are based on arithmetic formulas that combine experimentally derived chemical shift increments for the various structural units within a molecule. [Pg.550]

Jurs PC, Ball JW, Anker LS. Carbon-13 nuclear magnetic resonance spectrum simulation. / Chem Inf Comput Sci 1992 32(4) 272-8. [Pg.318]

Figure 6.6 Vibrational coherence on a pNB-adsorbed TiO2(110) surface, (a) The raw SH intensity, (b) the modulated component, (c) the Fourier-transformed spectrum, the gray lines show the transformed spectrum. The spectrum simulated with Lorentzian functions is overlaid with broken lines. The pNB-adsorbed surface was irradiated in air with p-polarized pump (8mjcm ) and p-polarized probe (8mjcm ) pulses of a 550-nm wavelength. Figure 6.6 Vibrational coherence on a pNB-adsorbed TiO2(110) surface, (a) The raw SH intensity, (b) the modulated component, (c) the Fourier-transformed spectrum, the gray lines show the transformed spectrum. The spectrum simulated with Lorentzian functions is overlaid with broken lines. The pNB-adsorbed surface was irradiated in air with p-polarized pump (8mjcm ) and p-polarized probe (8mjcm ) pulses of a 550-nm wavelength.
The fact that we have three olefinic hydrogens means that our compound is a primary olefin, the fact that the other two carbons are both methylene carbons means that our substituent, bromine, is terminal. Thus the only possibility we have is that we are dealing with 4-bromo-1-butene (try to find another isomer that fits ). But this simple molecules has a highly complex proton spectrum, which can only be interpreted completely (exact chemical shift, coupling constants) by spectrum simulation. [Pg.90]

In Problem 50 we start by showing you how the proton spectrum varies depending on the spectrometer s magnetic field. The increased spectral dispersion at 600 MHz makes quite a difference The multiplets look completely different, as you can see better in the expansions. Even at 600 MHz spectrum simulation will be required for a complete determination of the coupling constants, but we can simplify the multiplets quite a bit using NOESY and TOCSY. [Pg.165]

The g- and 14N hyperfine matrices are approximately axial for this radical, but the g axis lies close to the perpendicular plane of the hyperfine matrix. If the g axis was exactly in the A plane, the three negative-going gN, A features, corresponding to resonant field maxima, would be evenly spaced. In fact, the spacings are very uneven - far more so than can be explained by second-order shifts. The effect can be understood, and the spectrum simulated virtually exactly, if the gN axis is about 15° out of the A plane. [Pg.74]

Robert Pike has prepared various low-spin Mn(n) complexes. Figure 7.1 shows the ESR spectrum of [Mn(CO)2(PPh3)(C5H5)]+ in frozen CH2CI2/C2H4CI2 (see also Tables 7.2 and 7.3). Some of Pike s spectra, and an analysis of the spectrum simulated in Figure 7.1, have been published.5... [Pg.144]

Spectrum simulation treated the hyperfine interactions by second order perturbation theory and there were distributions in D and E/D, because strain in these parameters dominated the spectra. Spectral features grow in up to 1 equivalent of added Mn(II) at geff = 15.4, 5.3, 3.0 and 2.0 (Bi 1B) and a broad signal with a... [Pg.387]

The spectrum of l,2-azaborino[l,2-a][l,2]azaborine (22) was completely solved and the parameters were determined by spectrum simulation the shifts are S 8.03, 6.72, 7.66 and 7.31 for H-l, H-2, H-3 and H-4, respectively. The shifts were found to be consistent with 7r-electron densities calculated by SCF methods. The ortho coupling constants were 6.6, 6.0 and 11.2 Hz for J12, Jn and /34, respectively, of which the last one is larger than expected for aromatic compounds (68JA2137). [Pg.635]

Fig.4.17. Proton broadband-decoupled l3C NMR spectra of polypropylene ((a-c) 25 MHz 200 mg/mL 1,2,4-trichlorobenzene at 140 JC (d-e) 90.52 MHz 200 mg/mL heptane at 67 X) (a) isotactic (b) syndiotactic (c) atactic sample (d) methyl carbon spectrum, simulated for calculated carbon shifts and Lorentzian signals of < 0.1 Hz width at half-height (e) experimental spectrum [521]. Numbers in (d) refer to the 36 possible heptads ... Fig.4.17. Proton broadband-decoupled l3C NMR spectra of polypropylene ((a-c) 25 MHz 200 mg/mL 1,2,4-trichlorobenzene at 140 JC (d-e) 90.52 MHz 200 mg/mL heptane at 67 X) (a) isotactic (b) syndiotactic (c) atactic sample (d) methyl carbon spectrum, simulated for calculated carbon shifts and Lorentzian signals of < 0.1 Hz width at half-height (e) experimental spectrum [521]. Numbers in (d) refer to the 36 possible heptads ...
Currently available computer programs can in theory deal with any intramolecular exchange type as far as spectrum simulation is concerned. Limitations result only from computer speed and capacity. However, no general algorithm has so far been suggested for intermolecular spin exchange. [Pg.263]

Under the same experimental conditions, the spectrum of the sample with R = 0.005 gave a better resolved hyperfine structure because of the relative decrease in the dipolar interaction. The 77-K spectrum of this sample shows enhanced hyperfine structure (Figure 5). However, with nine lines, the spectrum demonstrates that the VIV atoms have axial symmetry. The spectrum, looks qualitatively like that obtained by Kucherov and Slin-kin (76) (although less resolved) for the sample obtained by HZSM-5 and V205 interaction. The similarity confirms this symmetry, but a quantitative interpretation of our spectrum would not give the same characteristic values as Kucherov and Slinkin s. The vanadium atom environment is different. This interpretation would require spectrum simulation and will not be given in this discussion. [Pg.224]

Si-)32C. (II) Result of EPR spectrum simulation of (=28Si-)33C radical. [Pg.316]

Abstract Conventional dynamic NMR spectrum simulation methods are based on the solution of the phenomenologically extended Liouville-von Neumann equation of spin systems in Liouville space. In this work, we show an alternative method in which the... [Pg.175]

Conventional, deterministic programs for DNMR spectrum simulation... [Pg.182]

The LAOCN3 and TWOSUM programs have been used in the iterative analysis or spectrum simulation of tri-O-acetyl-jS-D-arabinopyranosyl fluoride,252 tri-O-benzoyl-a- and /3-D-ribofuranosyl fluoride,253 and 3,6-anhydro-5-deoxy-5-fluoro-l,2-0-isopropylidene-a-L-idofuranose254 (85). [Pg.82]

Treatment of azobispyridine N,N -dioxide with potassium metal in ethers or with KOH in methanol gives an anion-radical (107) for which the hyperfine splittings indicated (in gauss) have been assigned on the basis of spectrum simulation.358... [Pg.270]

Fig. 7. (a) ESR spectrum observed at 77 K from PP milled in vacuum at 77 K. (b) Spectrum simulated on the assumption of the pair formation of the radicals by the scission of PP main chain... [Pg.121]

Figure 6.4-9 Modelling of a rough surface on AI2O3 ceramics. Solid line spectrum simulated for smooth surface broken line simulated with gradient layer dotted line measured at 20° incidence (Hopfe et al, 1993c). Figure 6.4-9 Modelling of a rough surface on AI2O3 ceramics. Solid line spectrum simulated for smooth surface broken line simulated with gradient layer dotted line measured at 20° incidence (Hopfe et al, 1993c).
Steinhoff et al. (1989) measured the temperature and hydration dependence of the ESR spectra of hemoglobin spin-labeled at cysteine )8-93. They observed the critical temperature near 200 K, as described above, and the sensitivity of the spectrum to hydration level. Spectrum simulations suggested that there were two types of motion in the dry protein, a fast vibration of the label within a limited motion cone upon the addition of water, a hydration-dependent motion assigned to the fluctuations of the protein, of correlation time 10 sec in samples of high hydration and at 300 K. The temperature dependence of the motional properties of a spin probe (TEMPONE), diffused into hydrated single crystals, closely paralleled the motional properties of the label. This was taken to be evidence for coupling between the dynamical properties of the protein and the adjacent solvent. [Pg.77]

Abstract X-ray spectroscopy provides a number of experimental techniques that give an atom-specific projection of the electronic structure. When applied to surface adsorbates in combination with theoretical density functional spectrum simulations, it becomes an extremely powerful tool to analyze in detail the surface chemical bond. This is of great relevance to heterogeneous catalysis as discussed in depth for a number of example systems taken from the five categories of bonding types (i) atomic radical, (ii) diatomics with unsaturated n-systems (Blyholder model), (iii) unsaturated hydrocarbons (Dewar-Chatt-Duncanson model), (iv) lone-pair interactions, and (v) saturated hydrocarbons (physisorption). [Pg.253]


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See also in sourсe #XX -- [ Pg.55 ]

See also in sourсe #XX -- [ Pg.4 , Pg.2665 ]




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Calculations and Simulated Spectra

Computer simulation, ESR spectra

ESR spectra simulation

Emission spectra simulations

Evaluation of the Vibrational Spectra Using Classical MD Simulations

General Procedures for Simulating Spectra

Mass spectra simulation

Mass spectra simulator

Mass spectrum, simulated

Molecular dynamics simulations spectra

Molybdenum spectra simulations

Monte Carlo calculations, simulated spectra

Numerical simulation of NMR spectra and density matrix calculation along an algorithm implementation

Parry Accurate density-functional calculation of core XPS spectra simulating

SIMULATION OF IR SPECTRA

Simulated Solid State Spectrum - Comparison with Experiment

Simulated Spectra and Comparison with Experiment

Simulated Spectrum as a Combination of Statistical Model and ab initio Quantum Chemistry

Simulated spectra

Simulating the 2D spectra

Simulation infrared spectra

Simulation of ENDOR spectra

Simulation of EPR spectra

Simulation of ESR spectra

Simulation of Electron Spectra for Surface

Simulation of Electron Spectra for Surface Analysis (SRD

Simulation of infrared spectra

Simulation of mass spectra

Simulation of spectra

Simulation of the Spectra

Simulation of the UV Absorption Spectrum

Software simulated spectra

Spectrum simulation 299 -position

Spin trapping simulated spectra

The analysis and simulation of multiple quantum spectra

Zeolite simulated spectrum

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