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Method quantification

STIRRED TANK PLUG FLOW TYPE FIXED BEDS [Pg.73]

A complete list of all process variables necessary for a detailed characterization of bioreactors includes the following (Dechema 1984,1987)  [Pg.73]

The appropriate methods of measurement and evaluation of the most essential variables will be briefly discussed here. [Pg.74]

The experimental measurement and typical results for different residence time distributions in a continuous reactor are summarized in Fig. 3.4. The same arrangements used for determining the mixing time are appropriate for determining the residence time distribution in a reactor. A signal in the form of a pulse or step function or a periodic function is formed at the input, and the response is measured at the output. [Pg.74]

The picture involved in the one-dimensional dispersion model is the onedimensional process of flow in a tube. There is a flow velocity in direction z, which, in the ideal case, is constant over the reactor cross section %. Because of molecular diffusion, turbulent convection, and the parabolic velocity profile that results from boundary friction (roughness, s), there are large deviations from a uniform flow front. The effective longitudinal dispersion coefficient [Pg.74]


This technique is the longest established of all the human reliability quantification methods. It was developed by Dr. A. D. Swain in the late 1960s, originally in the context of military applications. It was subsequently developed further in the nuclear power industry. A comprehensive description of the method and the database used in its application, is contained in Swain and Guttmann (1983). Further developments are described in Swain (1987). The THERP approach is probably the most widely applied quantification technique. This is due to the fact that it provides its own database and uses methods such as event trees which are readily familiar to the engineering risk analyst. The most extensive application of THERP has been in nuclear power, but it has also been used in the military, chemical processing, transport, and other industries. [Pg.227]

QUANTIFICATION PROCEDURE. In order to illustrate the SLIM quantification method, the case study developed in the earlier part of the chapter based on the chlorine tanker filling example will be used. The following operations from Figure 5.6 will be used to illustrate the method. [Pg.235]

After a series of well-designed experiments, Nilsson proposed a method for simultaneous spectrophotometric quantification of betaxanthins and betacyanins in red beets. Through this method, brownish co-absorbing substances by abstraction of the absorption at 600 nm and also the cross-absorption of betaxanthins and betacyanins was considered. Some follow-up investigations created computer models to implement this quantification method and were found appropriate for unheated samples. ... [Pg.509]

Thanks to the efforts of a continuously increasing number of research groups, CE has by now been accepted as a highly efficient separation technique for qualitative purposes, with about 1500 CE-related documents appearing annually in analytical journals. However, CE has not yet been fully established as a quantification method, mainly due to the predominance of HPLC techniques applied in standard, validated analytical protocols. [Pg.428]

Precise quantifications are an important quality in molecular biology. There are slight differences in the methods used for global and targeted proteomics. In experiments intended to visualize as many proteins as possible, it is highly desirable to have a parallel quantification method that builds on the display technique. For 2D gel electrophoresis, fluorescent staining methods are under development (Urwin and Jackson, 1993), but they still lack overall sensitivity. Labeling proteins with radioactive isotopes is the most precise method for quantification but is limited to cell cultures, and alternatives are desirable. Recently, a precise method... [Pg.27]

Because samples of suspended, sinking, and sedimentary marine particles often contain appreciable amounts of clay minerals, carbonate, and opal, any quantification method for organic elements must avoid interference from these mineral types. [Pg.73]

Quantification of impurities can be conducted through a number of different methods. The two most often used are the mass balance approach and the standardization approach. The preferred quantification method is standardization, due to its greater accuracy. In this approach, the analyte sample is compared to a sample having a known quantity of a known standard substance. This standard can be either internal or external, or direct or indirect. The mass balance approach adds all of the peaks found in a chromatogram and calculates a percentage of total detected area. This is a much quicker and less costly approach than the standardization approach, but is susceptible to systemic bias, on account of which its accuracy suffers. [Pg.370]

Table 2 summarizes in brief the CE techniques, possible drug substance chemo types (chargeable group, chromophore, water solubility), and competing quantification methods. [Pg.98]

For systems with moderate-to-low probability, CE might not be the chromatographic quantification method of choice, and other alternatives, such as HPLC and GC, should be considered. However, specific procedures (e.g., off-line concentration, stacking techniques, extended light path capillaries) and detectors may be applied to increase solubility and sensitivity of detection, such as derivatization (e.g., carbohydrates, amino acids, amines, etc.) or the use of a specific detector (e.g., contactless conductivity detection, coupling with mass spectrometry, etc.). However, increasing the complexity of the methodology may be counterproductive if it leads to a lower robustness and transferability of the system. [Pg.101]

In principle, Mq can be determined through the first point in time domain for t = 0 or by integration of L. However, under experimental conditions distortions in the acquired time signal (e.g., due to eddy currents) are transferred to the frequency domain by Fourier transformation and can result in significant differences in quantification. A straightforward quantification method in the frequency domain is simply to determine the total integrated area under a resonance in a distinct frequency range of the spectrum. This method works well for spectra with well separated resonance lines and without... [Pg.30]

In this chapter, we examine the various mechanisms that influence chemical redistribution in the subsurface and the means to quantify these mechanisms. The same basic principles can be applied to both saturated and partially saturated porous media in the latter case, the volumetric water content (and, if relevant, volatilization of NAPL constiments into the air phase) must be taken into account. Also, such treatments must assume that the partially saturated zone is subject to an equilibrium (steady-state) flow pattern otherwise, for example, under periods of heavy infiltration, the volumetric water content is both highly space and time dependent. When dealing with contaminant transport associated with unstable water infiltration processes, other quantification methods (e.g., using network... [Pg.219]

There are several potential sources of error. Both methods of analysis use a binary model mixture, composed of sulfidic and thiophenic components. Thickness effects in the XANES of these model systems would alter the calibrations. There may be contributions from species not adequately represented by a simple dibenzothiophene-dibenzylsulfide model. While the XPS data are represented by 163.3 eV and 164.1 eV components, the model compound data base is as yet limited and not sufficient for a definitive interpretation in terms of alkyl sulfide and thiophenic forms. Examination by both XPS and XANES of a wider variety of model compounds and multiple component model compound mixtures will better define the sulfur species represented by these quantification methods. [Pg.134]

Brase JC, Mannsperger H, Sultmann H et al (2011) Antibody-mediated signal amplification for reverse phase protein array-based protein quantification. Methods Mol Biol 785 55-64... [Pg.212]

Analysis of drug residues in foods is a challenging task and numerous methods have been developed for the direct screening of meat, milk, eggs, and honey. The analyst has a wide range of extraction, enrichment, and instrumental techniques to choose from. There is no best method, and the analyst s choice will depend on the nature of the sample matrix, whether it is solid or liquid, fatty or nonfatty, and the expected range and levels of the analytes. The instruments available for the confirmation and quantification of the individual residues will also influence the choice of enrichment and quantification method. [Pg.1152]

However, there will remain a need to support these assays by reasonably specific isolation and quantification methods that can provide rapid identification and/or a degree of confirmation of the analytes. Liquid and gas chromatographic... [Pg.1152]

This quantification method is based on the linear additive model applied to many instrumental responses. The model assumes that, for a sample i, the signal (measured response) at sensor j results from the sum of the responses of all the analytes (A) that contribute to the signal in this sensor (the term sensor will be used to refer globally to wavelength, time of the atomic peak, m/z ratio, etc.) ... [Pg.167]

For proteins that are not enzymes, other quantification methods are required. Transport proteins can be assayed by their binding to the molecule they transport, and hormones and toxins by the biological effect they produce for example, growth hormones will stimulate the growth of certain cultured cells. Some structural proteins represent such a large fraction of a tissue mass that they can be readily extracted and purified without a functional assay. The approaches are as varied as the proteins themselves. [Pg.95]

The peptide/protein quantification methods used in these assays are somewhat imprecise, because the color yield per mole or per mi lligram peptide is not consistent between peptides or proteins of different composition (Davis, 1988). Amounts of product are thus typically reported in terms of BSA equivalents, because calibration curves are typically prepared with this protein, and, again, absolute mole or absolute mass values are not readily obtained. This same limitation applies to the azosubstrates, since the color yield per mass peptide will be dependent on that given peptide s extent of derivitization. [Pg.366]

For any sugar determination, the specific quantification method chosen should selectively distinguish the different carbohydrates present in a same mixture. [Pg.653]

Lin, J.M., Fay, L.B., Welti, D.H., and Blank, 1.1999. Synthesis of trans-4,5-epoxy-(E)-2-decenal and its deuterated analog used for the development of a sensitive and selective quantification method based on isotope dilution assay with negative chemical ionization. Lipids 34 1117-1126. [Pg.1023]

Lemieux, L., Puchades, R., and Simard, R. E. (1990). Free amino acids in Cheddar cheese Comparison of quantification methods.. Food Sci. 55,1552-1554. [Pg.207]

In order to guarantee the water and food quality and to preserve the human health, several detection and quantification methods, each one of them having advantages and disadvantages, have been developed for microcystins and anatoxin-a(s). [Pg.336]

Hammes, K., Schmidt, M. W. I., Smernik, R. J., et al. (2007). Comparison of quantification methods to measure fire-derived (black/elemental) carbon in soils and sediments using reference materials from soil, water, sediment and the atmosphere. Global Biogeochem. Cycl. 21, doi 10.1029/2006GB002914. [Pg.298]

Important to note is the asymptotic behavior of Equation 13.14, which is clearly seen in Figure 13.17. This nonlinearity causes the abundance factor Oi to be more sensitive at small depletion times and less sensitive at large depletion times, which is in accordance with our intuitive judgment. When comparing two different natural resources, the difference between 100 and 1000 years of depletion time is much more important than the difference between 1 billion and 10 billion years. The latter time scales are both so large that it is almost equally unlikely that the depletion of either one of these resources will cause a process using them to become unsustainable. Hence, the nonlinear behavior of Equation 13.14 brings some common sense to the quantification method. [Pg.224]

All test methods adopted or under development by national or international standard organizations (e.g., OECD, ISO...) are suitable for WASTOXHAS. However, the choice of endpoints to be evaluated, among a large number now available, and their quantification methods, are directly related to criteria defining limit values. Examples of different chemical limits can be found in Lapa et al. (2002b). [Pg.353]


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See also in sourсe #XX -- [ Pg.39 ]




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Basics of Quantification Methods for Bioprocesses

Chemical Labeling Methods for Protein Quantification

Method quantification limit

Other Methods for Quantification

Quantification integration methods

Quantification method validation

Quantification method without

Relative quantification methods

Relative quantification methods isotopic approach

Relative quantification methods peptide

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