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Spectra for Quantitative Analysis

The total data acquisition time is usually long It is recommended that the acquired data be stored m successive blocks to save the data in case of an accidental power interruption Otherwise, except for the longer RD, acquisition parameters are the same as those considered in the recording of routine spectra (cf Table 5 4 2) [Pg.261]

relaxation times can be determined with the inversion recovery method (part of the spectrometer software package) using the 180°, r, 90° sequence and varying x [Pg.261]


Cahn, F. and S. Compton, Multivariate Calibration of Infrared Spectra for Quantitative Analysis Using Designed Experiments , Applied Spectroscopy, 42 865-872 (July, 1988). [Pg.147]

Instrumentation. Fourier transform infrared (FUR) spectra were recorded on a Nicolet 5DX using standard techniques. Spectra were measured from various sample supports, including KBR pellets, free polymer films and films cast on NaCl windows. Spectra for quantitative analysis were recorded in the absorbance mode. The height of the 639 cm 1 absorbance was measured after the spectrum was expanded or contracted such that the 829 cm 1 absorbance was a constant height. In some spectra an artifact due to instrumental response appeared near 2300 cm 1. [Pg.281]

Recently, it has become common practice to use FTIR spectra for quantitative analysis of complex mixtures. Prior to this, dispersion IR spectra were used primarily as a qualitative tool and for relatively simple quantitative measurements. Vibrational spectroscopy is particularly suited for multicomponent quantitative analysis. If intermolecular interaction between compounds can be excluded over the entire interesting concentration range, the absorbance at any given wavenumber equals the sum of the absorbances of all constituents of the sample ... [Pg.641]

J. A. Perry, G.H. Rain, and W. R. Traver, Recording Infrared Spectra for Quantitative Analysis, Appl, Spectroscopy 10,191-192,1956. [Pg.412]

The value of infrared spectra for identifying substances, for verifying purity, and for quantitative analysis rivals their usefulness in learning molecular structure. The infrared spectrum is as important as the melting point for characterizing a pure substance. Thus infrared spectroscopy has become an important addition to the many techniques used by the chemist. [Pg.249]

For quantitative analysis it is necessary to assess the densities of blackening of lines in a spectrogram due to the constituents being determined this may be done by comparing the spectra from samples of known and unknown composition. Comparisons may be made either visually (best with the aid of a spectrum projector see Fig. 20.6) when no great accuracy is desired, or by photoelectric... [Pg.759]

Mass Spectrometry. The mass spectra were obtained on a CEC 21-llOB mass spectrometer with the batch inlet system maintained at 250°C to assure complete vaporization of the samples. Sensitivity factors for quantitative analysis were obtained from standards of di-, tetra-, hexa-, and octa-chlorodibenzo-p-dioxin. The factors for the intermediate chlorinated species were estimated by interpolation. The analyses were based... [Pg.5]

Because of peak overlappings in the first- and second-derivative spectra, conventional spectrophotometry cannot be applied satisfactorily for quantitative analysis, and the interpretation cannot be resolved by the zero-crossing technique. A chemometric approach improves precision and predictability, e.g., by the application of classical least sqnares (CLS), principal component regression (PCR), partial least squares (PLS), and iterative target transformation factor analysis (ITTFA), appropriate interpretations were found from the direct and first- and second-derivative absorption spectra. When five colorant combinations of sixteen mixtures of colorants from commercial food products were evaluated, the results were compared by the application of different chemometric approaches. The ITTFA analysis offered better precision than CLS, PCR, and PLS, and calibrations based on first-derivative data provided some advantages for all four methods. ... [Pg.541]

Table 5.5 shows the main characteristics of UV spectrophotometry as applied to polymer/additive analysis. Growing interest in automatic sample processing looks upon spectrophotometry as a convenient detection technique due to the relatively low cost of the equipment and easy and cheap maintenance. The main advantage of UV/VIS spectroscopy is its extreme sensitivity, which permits typical absorption detection limits in solution of 10-5 M (conventional transmission) to 10 7 M (photoacoustic). The use of low concentrations of substrates gives relatively ideal solutions [20]. As UV/VIS spectra of analytes in solution show little fine structure, the technique is of relatively low diagnostic value on the other hand, it is one of the most widely used for quantitative analysis. Absorption of UV/VIS light is quantitatively highly accurate. The simple linear relationship between... [Pg.306]

Table 8.62 shows the main characteristics of ICP-MS, which is widely used in routine analytical applications. The ICP ion source has several unique advantages the samples are introduced at atmospheric pressure the degree of ionisation is relatively uniform for all elements and singly charged ions are the principal ion product. Theoretically, 54 elements can be ionised in an ICP with an efficiency of 90 % or more. Even some elements that do not show ionic emission lines should be ionised with reasonable efficiency (namely, As, 52 % and P, 33%) [381]. This is one of the advantages of ICP-MS over ICP-AES. Other features of ICP-MS that make it more attractive than ICP-AES are much lower detection limits ability to provide isotopic ratio information and to offer isotope dilution capabilities for quantitative analysis and clean and simple spectra. The... [Pg.654]

The integrated intensities of the fitted component peaks should then be related to the electron population of different valence states, subject to correction factors, according to the same equation used earlier for quantitative analysis of survey XPS spectra (Eq. 3) [10]. Because photoelectron KEs are similar throughout the valence band region, spectrometer-dependent factors and IMFP values can be assumed to be the same for all states, so that the equation simplifies to ... [Pg.107]

Compared to flame excitation, random fluctuations in the intensity of emitted radiation from samples excited by arc and spark discharges are considerable. For this reason instantaneous measurements are not sufficiently reliable for analytical purposes and it is necessary to measure integrated intensities over periods of up to several minutes. Modern instruments will be computer controlled and fitted with VDUs. Computer-based data handling will enable qualitative analysis by sequential examination of the spectrum for elemental lines. Peak integration may be used for quantitative analysis and peak overlay routines for comparisons with standard spectra, detection of interferences and their correction (Figure 8.4). Alternatively an instrument fitted with a poly-chromator and which has a number of fixed channels (ca. 30) enables simultaneous measurements to be made. Such instruments are called direct reading spectrometers. [Pg.291]

Identification and structural analysis of organic materials and study of kinetic effects, mainly from proton and carbon-13 spectra. Useful for quantitative analysis but not widely applied. [Pg.396]

The main drawback of the use of UV-Vis spectroscopy for catalyst characterization is that the data commonly show broad and overlapping absorption bands with little chemical specificity. Also, it is often quite difficult to properly interpret the resulting spectra. Lastly, quantitative analysis is only possible at low metal oxide loadings [114],... [Pg.17]

When a solution is tested, both analyte and solvent absorption bands will be present in the spectrum, and identification, if that is the purpose of the experiment, is hindered. Some solvents have rather simple IR spectra and are thus considered more desirable as solvents for qualitative analysis. Examples are carbon tetrachloride (CC14, only C-Cl bonds), choloroform (CHC13), and methylene chloride (CH2C12). The infrared spectra of carbon tetrachloride and methylene chloride are shown in Figure 8.21. There is a problem with toxicity with these solvents, however. For quantitative analysis, such absorption band interference is less of a problem because one needs only to have a single absorption band of the analyte isolated from the other bands. This one band can be the source of the data for the standard curve since the peak absorption increases with increasing concentration (see Section 8.11 and Experiment 25). See Workplace Scene 8.2. [Pg.223]

These are the retention times and/or mass spectra or other spectra for qualitative analysis and peak areas, including that of the internal standard, for quantitative analysis. For quantitative analysis, the peak area ratio is calculated as with the standards. [Pg.338]

These are the retention times and/or mass spectra or other spectra for qualitative analysis and peak areas for quantitative analysis. [Pg.369]

The solvents and coupling reagents were reagent grade materials. The tricaprylmethylammonium chloride (Adogen 464) was not purified further. Intrinsic viscosities were measured in chloroform at 25. Infrared spectra for hydroxyl analysis were measured on 2.5% solutions in carbon disulfide (vs. carbon disulfide2.in a cell with a 1.00 cm path length. The absorbance at 3610 cm was subtracted from a similar spectrum of 2 which had been quantitatively acetylated. [Pg.192]


See other pages where Spectra for Quantitative Analysis is mentioned: [Pg.260]    [Pg.200]    [Pg.261]    [Pg.320]    [Pg.313]    [Pg.444]    [Pg.4193]    [Pg.360]    [Pg.87]    [Pg.260]    [Pg.200]    [Pg.261]    [Pg.320]    [Pg.313]    [Pg.444]    [Pg.4193]    [Pg.360]    [Pg.87]    [Pg.378]    [Pg.148]    [Pg.65]    [Pg.48]    [Pg.244]    [Pg.1305]    [Pg.40]    [Pg.301]    [Pg.405]    [Pg.515]    [Pg.6]    [Pg.377]    [Pg.393]    [Pg.266]    [Pg.328]    [Pg.296]    [Pg.96]    [Pg.128]    [Pg.14]    [Pg.226]    [Pg.14]    [Pg.127]   


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