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Signal characterization

In conclusion, one remark. It Is evident Chat Che calculations describing the ideal case are rather far from reality. Further, it should be noticed, that it is absolutely incorrect, to take as a measure of surface concentration the AES signals (eventually normalized) Chat is to put N] = 1. Even for Che signals most sensitive for the surface, N] - 0.5 It is equally incorrect to say (what is very popular in the literature) that the AES signals characterize the average concentration over the free pathlength X of the electrons monitored the contribution of the deeper layer decreases exponentially and not linearly with the distances from the surface (8). [Pg.269]

In Figure 4.5 the effect of the maximum reaction rates, Vm,i and Vm,2, on the concentration of Si is shown. In these simulations the values of Vm.i and Vm,2 were equal, and Vm,i refers to both values i = 1 and 2). The peak-type signal obtained with Vm,i = 0.2 mM cannot be observed with smaller values of Vm,i (0.02 and 0.04 mM). In addition, the smaller values of Vm,i lead to higher concentrations of Si in the reactor due to a low reaction rate and low conversion of Si. The effect of these rates on the concentration of B is shown in Figure 4.6. It can be seen that the concentration of B is also affected by the values of Vm,i. Peak-type signals, characterized by a sharp raise and an equally sharp decay, are obtained for the highest value of Vm,i, and these characteristics disappear for lower values of Vm,i-... [Pg.56]

Note that the surface electric field, induced by the incident IR radiation characterizing the thin-film model catalysts, is mainly determined by the NiAl substrate. Consequently, because only the components of the dynamic dipole moment that are perpendicular to the metallic substrate contribute to the SFG signal, the effective dipole moment of tilted molecules is reduced. As a result, the intensity of the signal characterizing tilted molecules is smaller than that of CO molecules oriented perpendicular to the substrate (such as those on the particle top facet). [Pg.177]

The various ethene adsorbate species can be identified by vibrational spectroscopy (cf. Fig. 43) (46,138,448,470 75). Calibration SFG spectra recorded under UHV include three vibrational features, at 2880, 2910, and 3000 cm (138), which are similar to those characterizing the adsorbates on Pd(l 11). The peak at 2880 cm is attributed to the Vs(CH3) stretch vibration of ethylidyne (MSC-CH3), the feature at 2910 cm results from the Vs(CH2) of chemisorbed di-a-bonded ethene, and the very weak peak at 3000 cm represents the Vs(CH2) of physisorbed 7i-bonded ethene. As has been stated, the Vs(CH2) signal characterizing 7i-bonded molecules on single-crystal surfaces is very weak and explained by the surface-dipole selection rule for metal surfaces (17). [Pg.228]

As an example. Fig. 3.2,7 depicts H-2D spectra of polypropylene obtained in this way [Sch2]. Signals are identified which spread over the 2D frequency plane. These signals characterize the reorientation of the molecules during the mixing time tm Because detailed balance requires that frequency components are exchanged by reorientation, this type of 2D spectrum is referred to as a 2D exchange spectrum. [Pg.88]

In this chapter, several signal characterization and modelling methods have been introduced and discussed. It was shown that the wavelet transforma-... [Pg.147]

Research in the area of nanotechnology has been rapidly advancing that we find that the tools either lack sensitivity or resolution that is required to effectively characterize very low signals. Characterization of the various properties such as topography, morphology, mechanical, and porosity of biomaterials before their use is very critical and important so that we can predict their behavior in vivo. However, characterization tools have improved over the past couple of decades, and collectively, we have been able to image and understand not only the surface of materials but also their properties. For example, the atomic force microscope provides atomic-scale surface data, while the scanning electron microscope provides micro- and nanoscale surface data, and the nanoscale data about the internal structure of materials can be obtained from transmission electron microscope. With this information and with data on the mechanical properties, wettability, porosity, etc., we would be able to understand the surfaces of materials and how they would behave in vitro and in vivo. [Pg.41]

Spin quantitation is a key part of the EPR signal characterization. EPR spectroscopy is sufficiently sensitive that signals can sometimes be observed from species that constitute only a small fraction of the potentially paramagnetic centers. For an 5=1/2 metal ion the double integral of the first-derivative EPR signal is proportional to the number of spins in the sample. Comparison with a spin standard can then be used to determine the spin concentration for the species of interest. Quantitation is more difficult for metal ions with 5 >1/2 and zero-field splitting greater than the EPR quantum, because only some of the transitions may be observable for a particular microwave frequency. ... [Pg.38]

IGC is a variation of coventional gas chromatography. Figure 1 shows a typical arrangement for IGC. In IGC a finely divided non-volatile material of interest (polymer, fiber, plasticizer, etc) is placed within a chromatographic column. It may be packed directly into the column, or coated onto a suitable support, or onto the walls of the column. A volatile "probe" of known characteristics is swept through the column by an inert mobile phase (eg. helium), and the output is monitored. The residence time of the probe and the shape of the output signal characterize the stationary phase and its interaction with the volatile phase. [Pg.24]

Bossert and Wilson (1963) showed that the ratio of the natural pheromone release rate to the behavioral threshold (Q/K) is a fundamental characteristic of different communication systems. In some communication functions such as with alarm pheromones it is imperative that the signal fade quickly. Organisms producing alarm pheromones generally have a high value of Q/K. Other chemical communication systems such as sex pheromones utilize a relatively persistent signal, characterized by low Q/K ratios. Q/K ratios in different organisms and communication systems are summarized by Matthews and Matthews (1978). [Pg.75]

Since the result of the saponification of the methyl ester of immobilized 4-iso-cyanatomethyl butanoate was not proven directly by XPS the free acid group was reacted with 4-amino-TEMPO using the carbodiimide method. The immobilized 4-amino-TEMPO leads to an ESR signal characterized by reduced molecular motion in comparison with an uncoupled spin probe as a control sample [133], Consequently, the modified PCU/PVA surface is suitable for the immobilization of the fibronectin fragment GRGDS via the M-terminus [147]. A pepide content of 8 to 15 nmol cm on the PVC/PVA surface immobilized with GRGDS was verified by means of amino acid analysis. [Pg.41]

Pulse One of the elements of a repetitive signal characterized by the rise and decay in time of its magnitude. A pulse is usually short in relation to the time span of interest. [Pg.2504]

Impedance spectroscopy (dynamic small-signal characterization)... [Pg.108]

Dynamic small-signal characterizations have the objective of characterizing the component around a fixed point of operation, supposing that if the amphtude of the excitation is small, then the component s behavior will be quasi-linear. [Pg.108]


See other pages where Signal characterization is mentioned: [Pg.438]    [Pg.481]    [Pg.245]    [Pg.366]    [Pg.226]    [Pg.126]    [Pg.224]    [Pg.151]    [Pg.243]    [Pg.118]    [Pg.236]    [Pg.163]    [Pg.280]    [Pg.223]    [Pg.301]    [Pg.418]    [Pg.36]    [Pg.126]    [Pg.698]    [Pg.45]    [Pg.193]    [Pg.740]    [Pg.366]    [Pg.167]    [Pg.243]    [Pg.55]    [Pg.72]    [Pg.191]    [Pg.374]    [Pg.551]    [Pg.66]    [Pg.312]    [Pg.104]    [Pg.237]   
See also in sourсe #XX -- [ Pg.312 ]




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Signaling characterized

Signaling characterized

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