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Peaks, shape fundamentals

This analysis gives satisfactory results concerning the average crystallite sizes even in unfavorable experimental conditions such as overlapped or very weak and noisy peaks, and it allows an easy treatment of non-perfect monochromaticity of the radiation. But, it is important to emphasize that it is almost impossible to obtain the promised detailed description of the crystallite size and strain distributions. This is a fundamental problem related to the adopted procedure that is based on the a priori choice of the peak shape that inevitably imposes the general shape of such distributions [40]. For these reasons, the average dimension and strains remain the only reliable information. [Pg.135]

In the reversed-phase mode, mixtures of aqueous buffer and acetonitrile are commonly used as mobile phase. Other modifiers are possible, but as shown in Figure 6, acetonitrile often produces the best separations and peak shapes. Several studies have shown the fundamental importance of keeping the chiral analytes neutral when working with polysaccharide stationary phases in the reversed-phase mode. ° ° Therefore, acidic compounds are preferably analyzed at low pFI while basic compounds will be analyzed either in basic media or at low pH in the presence of a chaotropic salt such as sodium perchlorate (NaC104) or potassium hexa-fluorophosphate Some illustrations of the effect of the addi-... [Pg.482]

In general, three different approaches to the description of peak shapes can be used. The first employs empirical peak shape functions, which fit the profile without attempting to associate their parameters with physical quantities. The second is a semi-empirical approach that describes instrumental and wavelength dispersion functions using empirical functions, while specimen properties are modeled using realistic physical parameters. In the third, the so-called fundamental parameters approach, all three components of the peak shape function (Eq. 2.45) are modeled using rational physical quantities. [Pg.172]

From this point of view, some applications of the modified pseudo-Voigt function (e.g. third and fourth peak shape functions employed in GSAS) are in a way similar to the fundamental parameters approach as they use instrumental parameters to describe certain aspects of peak shape. [Pg.181]

More precise information about the details of such anomalous radical eliminations resulted from the detailed investigation of labelled compounds of the general structure 45 51. Here the combined application of different methods e.g., appearance potential measurements, peak shape analysis, CA studies, kinetic energy release) established that the cleavage of a heteroatom-carbon bond can take place via two fundamentally different mechanisms ... [Pg.241]

The above description is actually a simplified version of reality since a high-resolution analysis of the spectral lines of Cu Koc shows that both the oci and 0C2 peaks are distinctly asymmetric. An understanding of the origin of this asymmetry is important in implementing the so-called fundamental parameters approach to the profile fitting of powder diffraction data peaks, described in Chapters 5, 6, 9 and 13, in which the detailed spectrum of the incident X-rays must be known. A combination of five Lorentzian functions is commonly used to model the peak shape of Cu radiation, though detailed investigations to characterize the X-ray spectrum continue. ... [Pg.24]

Analytical applications of electrochemistry, where the objectives are well defined, have fared better. There is a long list of papers going back twenty years on the applications of computers and then microprocessors. Reviews of this subject appear in the Fundamental Reviews sction of Analytical Chemistry (see refs. 8 and 9). In general, the aim in electroanalytical methods is to avoid interfering effects, such as the ohmic loss and the double layer capacity charging, and to use the Faradaic response peak current-potential curve as an analytical tool. Identification of the electroactive species is achieved by the position of the response peak on the potential axis and "pattern recognition , and quantitative analysis by peak shape and height. A recent development is squarewave voltammetry [10]. [Pg.454]

For two Gaussian shaped peaks if the resolution = 1 the peaks will be effectively separated and have an overlap of only 1%. With a resolution of 1.5 or above there is excellent separation with no overlap. However if there is any distortion in peak shape then this will increase the possibility of overlap between adjacent peaks. In the above equation, W can be substituted by plate number N) which then gives rise to an equation expressing the resolution in terms of three fundamental factors the selectivity a, the capacity factor k and the plate number N. Thus ... [Pg.18]

This variation in peak shape between different injections represents a fundamental limitation of chemical analysis at the single molecule level. The distribution in the number of plolecules sampled in any experiment is ultimately limited by Poisson statistics, where the standard deviation of the number of molecules found in any subpopulation is equal to the square root of the average number of molecules taken. [Pg.241]

It is important to note that all the above-mentioned rules and calculations are strictly limited to isocratic methods. In gradient elution, the parameters k, a, and N do not follow the given definitions, and the slope and shape of the gradient is of critical importance for peak shape and resolution. The fundamental considerations still apply, but modified parameters need to be taken into account for the mathematical description (also see Chapter 3 on gradient elution). [Pg.69]

Figure 3.2 The elution curve of a single component, plotted as the analyte concentration at the column exit (proportional to the detector response Rj,) as a function of V, the total volume flow of mobile phase that has passed through the column since injection of the analytical sample onto the column. (V is readily converted to time via the volume flow rate U of the mobile phase.) The objective of theories of chromatography is to predict some or all of the features of this elution curve in terms of fundamental physico-chemical properties of the analyte and of the stationary and mobile phases. Note that the Plate Theory addresses the position of the elution peak but does not attempt to account for the peak shape (width etc.). The inflection points occur at 0.6069 of the peak height, where the slope of the curve stops increasing and starts decreasing (to zero at the peak maximum) on the rising portion of the peak, and vice versa for the falling side the distance between these points is double the Gaussian parameter O. Modified from Scott, www.chromatography-online.org, with permission. Figure 3.2 The elution curve of a single component, plotted as the analyte concentration at the column exit (proportional to the detector response Rj,) as a function of V, the total volume flow of mobile phase that has passed through the column since injection of the analytical sample onto the column. (V is readily converted to time via the volume flow rate U of the mobile phase.) The objective of theories of chromatography is to predict some or all of the features of this elution curve in terms of fundamental physico-chemical properties of the analyte and of the stationary and mobile phases. Note that the Plate Theory addresses the position of the elution peak but does not attempt to account for the peak shape (width etc.). The inflection points occur at 0.6069 of the peak height, where the slope of the curve stops increasing and starts decreasing (to zero at the peak maximum) on the rising portion of the peak, and vice versa for the falling side the distance between these points is double the Gaussian parameter O. Modified from Scott, www.chromatography-online.org, with permission.
As mentioned above, the interpretation of CL cannot be unified under a simple law, and one of the fundamental difficulties involved in luminescence analysis is the lack of information on the competing nonradiative processes present in the material. In addition, the influence of defects, the surface, and various external perturbations (such as temperature, electric field, and stress) have to be taken into account in quantitative CL analysis. All these make the quantification of CL intensities difficult. Correlations between dopant concentrations and such band-shape parameters as the peak energy and the half-width of the CL emission currently are more reliable as means for the quantitative analysis of the carrier concentration. [Pg.154]

These aspects of the optical spectra of solids are illustrated in the upper portion of Figure 1, which displays the reflectance curve (R) at room temperature for a typical semiconductor, GaAs. The fundamental absorption edge around 1.4 eV produces only a weak shoulder. Some structure is apparent in the two features around 3 eV and the large, broad peak near 5 eV. However, the dominant aspect of the line shape is the slowly varyii background. The derivative namre of Modulation Spectroscopy suppresses the uninteresting background effects in favor of sharp, deriva-... [Pg.386]

For studies in molecular physics, several characteristics of ultrafast laser pulses are of crucial importance. A fundamental consequence of the short duration of femtosecond laser pulses is that they are not truly monochromatic. This is usually considered one of the defining characteristics of laser radiation, but it is only true for laser radiation with pulse durations of a nanosecond (0.000 000 001s, or a million femtoseconds) or longer. Because the duration of a femtosecond pulse is so precisely known, the time-energy uncertainty principle of quantum mechanics imposes an inherent imprecision in its frequency, or colour. Femtosecond pulses must also be coherent, that is the peaks of the waves at different frequencies must come into periodic alignment to construct the overall pulse shape and intensity. The result is that femtosecond laser pulses are built from a range of frequencies the shorter the pulse, the greater the number of frequencies that it supports, and vice versa. [Pg.6]

As readily observed in most chromatograms, peaks tend to be Gaussian in shape and broaden with time, where W, becomes larger with longer This is caused by band-broadening effects inside the column, and is fundamental to all chromatographic processes.The term, plate number (N), is a quantitative measure of the efficiency of the column, and is related to the ratio of the retention time and the standard deviation of... [Pg.26]

Strictly speaking, the values of e, Ac, A, and AA need to be obtained by integration over the spectral band however, since, for a fundamental transition, the VCD and its parent absorption band have the same shape, the anisotropy ratio can be obtained, in the absence of interfering bands due to other transitions, by taking the ratios of intensities at corresponding spectral positions, such as peak locations. The anisotropy ratio is also of interest for theoretical reasons since it is a dimensionless quantity that can be compared to the results of calculations vide infra). [Pg.121]


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See also in sourсe #XX -- [ Pg.21 ]




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