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Spectrum analyzers definitions

An equilibrium such as (7) between two paramagnetic species with sufficiently different ESR signals can be analyzed quantitatively [79] by double integration, i.e. from the conventionally recorded first derivative signal to the zeroeth derivative spectrum and then further to the first integrated form. The procedure requires a careful definition of the baseline, especially for broader spectra. [Pg.1656]

In the experimental SEP spectrum only a relatively small number of resonances, generally the narrowest ones, are definitively identified and analyzed. With only very few exceptions, all measured resonances are non-overlapping. The broader resonances with substantial excitation in the dissociation mode overlap they have small Franck-Condon factors and... [Pg.156]

The two-point one time correlation functions, in the form presented in the preceding discussion, are not suitable for analyzing motions at different scales and specifically they are not suitable for understanding relations between movements of fluid characterized by different length and time scales. That is why it is better to use the 3D Fourier transforms of two-point correlations and to decompose them into waves of different frequencies or wave numbers. Turbulence has by definition a 3D character so it is obvious that the spectrum has to be 3D as well, to characterize turbulence properly. The ID spectrum of Taylor (see, e.g., [66]) oversimplifies the observed features of turbulence and may give misleading interpretations of the 3D held (see also, [113], p. 18). The differences and consequences of ID and 3D spectrum analysis are discussed by Hinze ([66], sects. 1-12 and 3-4) and Pope ([121], sect. 6.5). [Pg.114]

To test this prediction the surface of CuS membranes, dissolved anodically in the media discussed above, was analyzed for the presence of sulphur by using SEM/EDAX technique with sulphur probe. In 1 M HCl the sulphur presence can clearly be seen already after one anodic half-cycle (Fig. 10). In 1x10 M HCl no sulphur could be detected. In 1x10 M HCl + 1 M KCl the result of the analysis was not definite, the surface analyzed by XRD, however, provided the strong indication of sulphur presence, because of the characteristic low-angle spectrum. Fig.9. To facilitate sulphur formation under these conditions potentiostatic dissolution at +600 mV (SCE) for 72 h was attempted. The presence of sulphur was quite evident (Fig.ll) which is opposite to the observation of CuS membrane surface dissolved under the same conditions in lxlO M HCl, (Fig.5). Finally, the surface of CuS disc left in... [Pg.219]

TLCs are optically active mixtures of organic molecules. The correct name for TLCs used for temperature measurements is chiral nematic or cholesteric Uquid crystals. TLCs are characterized by well-analyzed reflections of visible Ught (color play) within a definite bandwidth of temperature. A certain temperature leads to reflections of an explicit spectrum of wavelengths, with a local maximum and a narrow bandwidth. Below the start temperature of the color play, called red-start temperature, the TLCs are transparent, when applied in thin layers the bulk looks milky and white. In this state the molecules, which are elongated like a cigar, have a typical size of about 2-5 nm [1], are well ordered, and are close to each other like in a solid crystal (see Fig. 2a). [Pg.1643]

Nuclear magnetic resonance (NMR) spectroscopy is the most informative analytical technique and is widely applied in combinatorial chemistry. However, an automated interpretation of the NMR spectral results is difficult (3,4). Usually the interpretation can be supported by use of spectrum calculation (5-18) and structure generator programs (8,12,18-21). Automated structure validation methods rely on NMR signal comparison using substructure/ subspectra correlated databases or shift prediction methods (8,15,22,23). We have recently introduced a novel NMR method called AutoDROP (Automated Definition and Recognition of Patterns) to rapidly analyze compounds libraries (24-29). The method is based on experimental data obtained from the measured ID or 2D iH,i C correlated (HSQC) spectra. [Pg.123]


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Spectrum analyzers

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