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Calibration summary

In summary, such series of normalized volumes are more informative than the typical calibration curves in the leaflets of the manufacturers, especially in the classification of the so-called mixed bed columns for extended separation intervals. Such tables were found only once (6), and unfortunately these descriptions were never repeated in later brochures. [Pg.438]

In summary, to obtain 7% from a platinum resistance thermometer, one selects the range of interest, calibrates the thermometer at the fixed points specified for those ranges, and uses the appropriate function to calculate AW(Tw) to be used in equation (A2.5). Companies are available that perform these calibrations and provide tables of W T<)0) versus 790 that can be interpolated to give 7% for a measured W T90). [Pg.624]

Summary Sheet for HPLC Since all 10 calibration results are very close to 100% and no trend is apparent, the HPLC system is regarded as being in control. ... [Pg.285]

In summary, official German analytical methods for pesticide residues are always validated in several laboratories. These inter-laboratory studies avoid the acceptance of methods which cannot readily be reproduced in further laboratories and they do improve the ruggedness of analytical procedures applied. The recently introduced calibration with standards in matrix improves the trueness of the reported recovery data. Other aspects of validation (sample processing, analyte stability, extraction efficiency) are not considered. [Pg.128]

In summary, models can be classified in general into deterministic, which describe the system as cause/effect relationships and stochastic, which incorporate the concept of risk, probability or other measures of uncertainty. Deterministic and stochastic models may be developed from observation, semi-empirical approaches, and theoretical approaches. In developing a model, scientists attempt to reach an optimal compromise among the above approaches, given the level of detail justified by both the data availability and the study objectives. Deterministic model formulations can be further classified into simulation models which employ a well accepted empirical equation, that is forced via calibration coefficients, to describe a system and analytic models in which the derived equation describes the physics/chemistry of a system. [Pg.50]

We ended Chapter 30 with a summary of the comments received regarding a previous Linearity in Calibration paper. We therefore pick up where we left off by starting this chapter with that same summary (naturally, anyone who wishes to read the full text of the comments will have to go back and reread Chapter 30 derived from reference [3]) ... [Pg.149]

As expected by all responders, and by your hosts as well, when two-factor models (either PCR or PLS) were computed, the fit of the model to the synthetic data was perfect. Table 33-1 presents a summary of the numerical results obtained, for one-factor calibration models. [Pg.163]

Additional information concerning the fast electron distribution can be obtained in such experiments by direct measurement of forward escaping electrons using a calibrated stack of radiochromic films [52] that can provide information of the angular and energy distribution of fast electrons. These measurements were performed in the same experiment described above [31] and the summary of those measurements is reported in Fig. 7.10 and reveal a distribution that is consistent with a relativistic Maxwellian distribution with a characteristic temperature of 160keV. [Pg.134]

Due to its flash point of 105°C (221°F), HD and its vapors may explode if exposed to fire or munition detonation. As a form of calibration, a downwind evacuation from a 55-gallon spill should be a minimum of 2.1 miles.2 See Table 3.3 for a summary of the symptoms of exposure and potential medical treatment options. [Pg.79]

Figure 6. Summary of existing Mo isotope data from natural samples. Isotopic composition of ocean source is based on mass balance (see text). Data are presented as 5 Mo and S Mo relative to the Rochester JMC standard (5 Mo 2/3 x 5 Mo). References ( ) McManus et al. 2002 (t) Siebert et al. 2003 ( ) Barling et ah 2001 ( ) Arnold et al. 2004. Molybdenite values of Wieser and DeLaeter (2003) are omitted because of standard normalization problems (see text). Data obtained by different research groups using different standards are cross-calibrated by comparing seawater 5 values. Figure 6. Summary of existing Mo isotope data from natural samples. Isotopic composition of ocean source is based on mass balance (see text). Data are presented as 5 Mo and S Mo relative to the Rochester JMC standard (5 Mo 2/3 x 5 Mo). References ( ) McManus et al. 2002 (t) Siebert et al. 2003 ( ) Barling et ah 2001 ( ) Arnold et al. 2004. Molybdenite values of Wieser and DeLaeter (2003) are omitted because of standard normalization problems (see text). Data obtained by different research groups using different standards are cross-calibrated by comparing seawater 5 values.
The approximation for the variance of in (9b) holding when Vy is approximately constant. A summary of the application of Equation 9 to the linear calibration curve derived from known analyte concentrations x = (x-, X2. .. x ) and corresponding statistical weights (inverse variances) is given in Table II. [Pg.60]

TABLE I Summary of Calibration Tests and Acceptance Criteria... [Pg.294]

In summary, this chapter reviews how to develop expedited calibration procedures and acceptance criteria for all the common modules in an HPLC system. [Pg.300]

In summary, the approach outlined here is a straightforward method for determining representative values of viscosity ratios [ n ] MA /[ h ] LB I certainly g values significantly less than 1.0 are expected for such highly branched polymers (33). However, the anomalous dependence of g (v) on M[v1a suggests that 1) the core/shell hydrodynamic configuration and/or chromatographic artifacts invalidate universal calibration, and/or 2) the LB elution behavior does not conform to that of polystyrene in the assumed, constant manner. Further work is necessary to elucidate these points. [Pg.318]

In summary, as discussed by Vennemann and O Neil (1996), discrepancies between published experimental calibrations in individual mineral-water systems are difficult to resolve, which limits the application of D/H fractionations in mineral-water systems to estimate 5D-values of coexisting fluids. [Pg.41]

The moments of a charge distribution provide a concise summary of the nature of that distribution. They are suitable for quantitative comparison of experimental charge densities with theoretical results. As many of the moments can be obtained by spectroscopic and dielectric methods, the comparison between techniques can serve as a calibration of experimental and theoretical charge densities. Conversely, since the full charge density is not accessible by the other experimental methods, the comparison provides an interpretation of the results of the complementary physical techniques. The electrostatic moments are of practical importance, as they occur in the expressions for intermolecular interactions and the lattice energies of crystals. [Pg.142]

Summary Validation Diagnostic Tools for ICLS, Example 2 The determination of saustic concentration in an aqueous sample containing NaOH (caustic) and salt using NIR spectroscopy is examined in this example. The goal was to cscate a model to predict caustic concentration in aqueous samples with vaniEig salt and temperature levels. The details of the data set used to construct flae calibration model are as follows ... [Pg.125]

Summary of Validation Diagnostic Tools for PLS/PCR. Example 1 Eleven samples were used to build a PLS model to predict the concentration of component A with -.. ying amounts of components B and C. The details of the data set u.scd to corjstruct the calibration model are as follows ... [Pg.157]

Root Mean Square Error of Calibration (RMSEC) Plot (Model Diagnostic) As a summary of how well models with different numbers of variables fit the calibration data, the root mean square error of calibration (RMSEQ is calculated as the nxomber of variables is varied using Equation 5.26 ... [Pg.311]


See other pages where Calibration summary is mentioned: [Pg.79]    [Pg.283]    [Pg.24]    [Pg.6]    [Pg.89]    [Pg.149]    [Pg.207]    [Pg.224]    [Pg.272]    [Pg.18]    [Pg.393]    [Pg.139]   
See also in sourсe #XX -- [ Pg.289 ]




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