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Energy configurational internal

Fig. 11.16. Representation of three tandem mass spectrometry (MS/MS) scan modes illustrated for a triple quadrupole instrument configuration. The top panel shows the attributes of the popular and prevalent product ion CID experiment. The first mass filter is held at a constant m/z value transmitting only ions of a single mlz value into the collision region. Conversion of a portion of translational energy into internal energy in the collision event results in excitation of the mass-selected ions, followed by unimolecular dissociation. The spectrum of product ions is recorded by scanning the second mass filter (commonly referred to as Q3 ). The center panel illustrates the precursor ion CID experiment. Ions of all mlz values are transmitted sequentially into the collision region as the first analyzer (Ql) is scanned. Only dissociation processes that generate product ions of a specific mlz ratio are transmitted by Q3 to the detector. The lower panel shows the constant neutral loss CID experiment. Both mass analyzers are scanned simultaneously, at the same rate, and at a constant mlz offset. The mlz offset is selected on the basis of known neutral elimination products (e.g., H20, NH3, CH3COOH, etc.) that may be particularly diagnostic of one or more compound classes that may be present in a sample mixture. The utility of the two compound class-specific scans (precursor ion and neutral loss) is illustrated in Fig. 11.17. Fig. 11.16. Representation of three tandem mass spectrometry (MS/MS) scan modes illustrated for a triple quadrupole instrument configuration. The top panel shows the attributes of the popular and prevalent product ion CID experiment. The first mass filter is held at a constant m/z value transmitting only ions of a single mlz value into the collision region. Conversion of a portion of translational energy into internal energy in the collision event results in excitation of the mass-selected ions, followed by unimolecular dissociation. The spectrum of product ions is recorded by scanning the second mass filter (commonly referred to as Q3 ). The center panel illustrates the precursor ion CID experiment. Ions of all mlz values are transmitted sequentially into the collision region as the first analyzer (Ql) is scanned. Only dissociation processes that generate product ions of a specific mlz ratio are transmitted by Q3 to the detector. The lower panel shows the constant neutral loss CID experiment. Both mass analyzers are scanned simultaneously, at the same rate, and at a constant mlz offset. The mlz offset is selected on the basis of known neutral elimination products (e.g., H20, NH3, CH3COOH, etc.) that may be particularly diagnostic of one or more compound classes that may be present in a sample mixture. The utility of the two compound class-specific scans (precursor ion and neutral loss) is illustrated in Fig. 11.17.
In the case of three or four minima on the adiabatic potential, beside the transition between the A, E or A, T2 energy levels broadened by the interaction with the medium, the transitions without change of the energy of internal degrees of freedom of the molecule also contribute to the spectrum. The broadening is due to the fact that there is a probability of transitions of the system from one of its minimum configurations to another equivalent one as the result of a diffusional reorientation, and not by tunneling. Consequently, in these systems there is always a Debye-type... [Pg.27]

Interaction potential models of water developed for computer simulations are typically fitted to the properties of the liquid phase. The most frequently used experimental data to be matched are the heat of vaporization (or the configurational internal energy), the structure at the level of pair correlations and the density. In the case of the most popular models tests have been carried out for further properties to check their performance Thanks to their classical, nonpolarizable character rigid planar models of water like the SPC/E and TIP4P are inexpensive to implement in computer simulations. In the following table we present some alternative parametrizations suggested in the literature recently. [Pg.109]

Figure 14.4 Isosteric heat of adsorption of N2 on various C70 crystal structures at 77 K as a function of loading. The points marked with symbols were obtained from the fluctuation theory, and the solid curves were obtained from munerical differentiation of the configurational internal energy. Reference codes for crystal structures see text. (Reprinted with permission from Ref. [36]. Copyright 2005 American Chemical Society.)... Figure 14.4 Isosteric heat of adsorption of N2 on various C70 crystal structures at 77 K as a function of loading. The points marked with symbols were obtained from the fluctuation theory, and the solid curves were obtained from munerical differentiation of the configurational internal energy. Reference codes for crystal structures see text. (Reprinted with permission from Ref. [36]. Copyright 2005 American Chemical Society.)...
In as much as the configurational internal energy of a hard sphere system is zero, we can also write... [Pg.120]

Kurokawa, H., Yakabe, H., Yasuda, I. et al. (2014) The inhibition effect of CO on hydrogen permeability of Pd-Ag membrane applied in a microchannel module configuration. International Journal of Hydrogen Energy, 39,17201-17209. [Pg.236]

TABLE 1 Thermophysical properties of water at ambient conditions configurational internal energy and enthalpy of vaporization in... [Pg.348]

Typically, effective potential models are parameterized empirically by constraining the model s thermophysical properties to experimental values at ambient conditions, by adjusting those parameters in a series of short simulations [81,94,95] or during a rather longer simulation [50,85]. The most convenient choices are the configurational internal energy and the pressure to fit the energy and size force-field parameters for the pairwise repulsion-attraction terms. Additionally, almost all models have been parametrized to reproduce the structure of water obtained in the 1986 Soper-Phillips neutron diffraction experiments [96]. [Pg.351]

Many additional criteria have been defined. For examjde, in tte context of a temperature-jump simulation one can study tte rate of apprc ich of various thermodynamic and molecular properties to their final equilibrium values. Such properties are the configurational internal energy and the density of the system (for NPT simulations), as well as the average end-to-end distance and radius of gyration of the chains. Such a study was not undertaken in this work. [Pg.302]

The internal mobility of the chains, that is, their freedom to rotate about bonds. Figure 8.4 shows potential energy as a function of rotation an e about a bond in a polymer chain. The minimum energy configuration, arbitrarily chosen as 0 = 0, is the position where the largest substituents, the rest of the chain, are as far away from each other as possible. As the bond is rotated, the... [Pg.107]

To obtain the Hamiltonian at zeroth-order of approximation, it is necessary not only to exclude the kinetic energy of the nuclei, but also to assume that the nuclear internal coordinates are frozen at R = Ro, where Ro is a certain reference nucleai configuration, for example, the absolute minimum or the conical intersection. Thus, as an initial basis, the states t / (r,s) = t / (r,s Ro) are the eigenfunctions of the Hamiltonian s, R ). Accordingly, instead of Eq. (3), one has... [Pg.558]


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Configurational energy

Energy configuration

Internal energy

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