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Dimension analysis

The HPLC elution time was typieally under 260 min, and the CZE analysis took plaee in 60 s, whieh led to an overall run time of about 4 h. The 1 min CZE sampling interval was problematie, as the LC eolumn was probably slightly undersampled. A shorter CZE analysis time, whieh would provide a more frequent sampling rate, would improve this system a great deal. The seeond-dimension analysis time must be short relative to the first dimension, lest resolution in the first dimension be saeri-fieed. [Pg.204]

When a conventional column is used as a first-dimensional column, two different LCxLC configurations may be used, with either two trapping columns or fast secondary columns in parallel rather than storage loops. In the former setup, each fraction from the first dimension is trapped alternatively on one of the two trapping columns. At the same time, the compounds retained from the previous fraction on the other trapping column are back-flushed onto the analytical column for second-dimension analysis. In the latter setup, a fraction from the first-dimension column is trapped alternatively at the head of one of the two columns during the loading step in a one-column... [Pg.107]

With regard to comprehensive LC data elaboration, the acquired data is commonly elaborated with dedicated software that constructs a matrix with rows corresponding to the duration of the second-dimension analysis and data columns covering all successive second-dimension chromatograms. The result is a bidimensional contour plot, where each component is represented as an ellipse-shaped peak, defined by double-axis retention time coordinates. When creating a 3D chromatogram, a third axis by means of relative intensity is added. The colour and dimension of each peak is related to the quantity of each compound present in the sample. Figure 4.9 illustrates an example of data elaboration in comprehensive LC. [Pg.110]

Most of the frequently used comprehensive HPLC are operated in a continuous mode, which means that the time of the second-dimension analysis corresponds to the transfer time of a fraction from the first into the second dimension. The total analysis time will be the product of the second-dimension analysis time and the total number of fractions injected onto the secondary column. [Pg.111]

With a natural scaling (a detailed dimension analysis is deferred to subsequent sections), we get... [Pg.208]

What is needed at this point are quantitative data on phenolic acid utilizing microbes (e.g., bacteria, fungi, actinomycetes) in field soils + phenolic acid enrichment during the spring, summer, and fall for various crop and forest systems. In addition, we need quantitative data describing the relationships between bulk-soil and rhizosphere phenolic acid utilizing microbes and the observed phytotoxicity of phenolic acids for sensitive species, i.e., a form of dimension analysis utilizing equations to predict useful and/or consistent relationships. [Pg.84]

It is worth noting that water/oil interfacial structures would be governed by various factors, so that a complementary study other than fluorescence dynamic anisotropy is required to obtain further detailed information about the characteristics at a water/oil interface. As a new and novel approach, therefore, excitation energy transfer d3mamics and the relevant structural (fractal) dimension analysis were introduced to elucidate the structure of a water/oil interface [4],... [Pg.257]

TABLE 12.2. Structural dimension analysis of excitation energy transfer quenching of SRIOI by ABl at the water/oil interfaces. [Pg.259]

Another method used to examine microstructure is the box counting or grid dimension analysis. This dimension is referred to as a grid dimension because for mathematical convenience, the boxes are usually part of a grid that is laid over the image (65). The box dimension is dehned as the exponent D in the relationship ... [Pg.186]

Mathematical model was based on the dimension analysis method. The obtained dependence of silica gel surface conversion degree on the process parameters can be presented... [Pg.233]

Up to now, we have a quite good overview about the ranking of sites in Lake Ontario. However, does the test battery comprise redundancies The subsequent dimension analysis will disclose this. [Pg.101]

Fig. 22. Visualization of the ranking result of the sediment samples of Lake Ontario after dimension analysis... Fig. 22. Visualization of the ranking result of the sediment samples of Lake Ontario after dimension analysis...
Perform a dimension analysis to estimate the redundancy of the test system and a sensitivity study to identify important or less important attributes. The rational for the importance of each attribute cannot be drawn from the HDT here the scientific background is needed What are the characteristics for all the tested objects are there any internal correlations among the attributes ... [Pg.106]

In order to enable the prediction of the purification effect of the rinsing step, Wangnick (1994) introduces a characteristic dimensionless number won from a dimension analysis of all influencing parameters... [Pg.174]

There is still another technique, in which dimension analysis is used. The differential equations of transport can be set up sometimes easily, but it is too difficult to solve them under the conditions required. However, if the equations are made dimensionless, then the relevant combinations of dimensionless quantities can be found out. [Pg.332]

Szirtes, T, Rozsa, P Applied Dimensioned Analysis euid Modeling, 2nd edn. Elsevier, Amsterdam (2007)... [Pg.342]


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See also in sourсe #XX -- [ Pg.61 ]




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