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Composite column

Some kinds of chromatography require relatively little optimization. In gel permeation chromatography, for example, once the pore size of the support and number of columns is selected, it is only rarely necessary to examine in depth factors such as solvent composition, temperature, and flow rate. Optimization of affinity chromatography is similarly straightforward. In RPLC or IEC, however, retention is a complex and sensitive function of mobile phase composition column type, efficiency, and length flow rate gradient rate and temperature. [Pg.32]

Example 1.5. For a binary distillation column (see Fig. 1.6), load disturbance variables might include feed flow rate and feed composition. Reflux, steam, cooling water, distillate, and bottoms flow rates might be the manipulated variables. Controlled variables might be distillate product composition, bottoms product composition, column pressure, base liquid level, and reflux drum liquid level. The uncontrolled variables would include the compositions and temperatures on aU the trays. Note that one physical stream may be considered to contain many variables ... [Pg.10]

FIGURE 3.15 Liquid composition column in an ideal system (schematic). [Pg.56]

The robustness of an analytical procedure is a measure of its capacity to remain unaffected by small but deliberate variations in the analytical procedure parameters. The robustness of the analytical procedure provides an indication of its reliability during normal use. The evaluation of robustness should be considered during development of the analytical procedure. If measurements are susceptible to variations in analytical conditions, the analytical conditions should be suitably controlled or a precautionary statement should be included in the procedure. For example, if the resolution of a critical pair of peaks was very sensitive to the percentage of organic composition in the mobile phase, that observation would have been observed during method development and should be stressed in the procedure. Common variations that are investigated for robustness include filter effect, stability of analytical solutions, extraction time during sample preparation, pH variations in the mobile-phase composition, variations in mobile-phase composition, columns, temperature effect, and flow rate. [Pg.20]

To achieve the optimum reversed-phase LC separation, one needs to explore variables such as the analyte chemistry, mobile-phase composition (solvent type, solvent composition, pH, and additives), column composition, column particle size, and column temperature. For pharmaceutical analysis using mass spectrometry, the chemistry of an analyte is rarely changed beyond manipulation of the mobile phase pH, and even there options are limited. Volatile pH modifiers (buffers) are still preferred for LC-MS, and concentrations of these modifiers are kept low. Relatively simply mobile phases consisting of water, acetonitrile, and either formic acid (0.1% v/v), ammonium acetate (1-20 mM), or both have been common. [Pg.49]

Generally, trays work better in applications requiring high flows, because plate efficiencies increase with increased vapor velocities, and therefore increase the influence of the reflux to feed ratio on overhead composition. Column dynamics is a function of the number of trays, because the liquid on each tray must overflow its weir and work its way down the column. Therefore, a change in composition will not be seen at the bottoms of the tower until some time has passed. [Pg.240]

The input data defining the column configurations, feed, feed composition, column holdup, etc. are given in Table 4.14. The reaction is modelled by simple rate equations (Table 4.14). The feed tank location was Np = 7 (stages numbered from the top down). The given batch time is 12 hrs. Conversion to product C was 70%. [Pg.101]

The number of plates (defining the column configuration), feed, feed composition, column holdup, etc. for the problem are given in Table 4.9 (Chapter 4). The vapour-liquid equilibrium data and the kinetic data are taken from Simandl and Svrcek (1991) and Bogacki et al. (1989) respectively and are shown in Table 4.10 (Chapter 4). The vapour and liquid enthalpies are calculated using the data from Reid et al. (1977). As mentioned in Chapter 4, these data do not account for detailed VLE calculations and for any azeotropes formed. [Pg.277]

Currently, eluent composition, column temperature, and eluent pH are the only continuous parameters used as the arguments in functional optimization of HPLC retention. However, other parameters such as ionic strength, buffer concentration and concentration of salts and/or ion-pairing reagents can be taken into account, and mathematical functions for these can be constructed and employed. [Pg.505]

Table 2 Models for the bulk chemical composition (wt.%) of the silicate portion of Mercury (columns 1-6) and three possible surface magma compositions (columns 7-9). Table 2 Models for the bulk chemical composition (wt.%) of the silicate portion of Mercury (columns 1-6) and three possible surface magma compositions (columns 7-9).
Fig. 4 Separation of basic compounds on the alkylpho-sphonate-modified magnesia-zirconia composite column with 35 65 (v/v) methanol-TRIS buffer (5.0 mM TRIS and 50 mM NaCl, pH 10.0) as mobile phase at a flow rate of 1.0 mL/min. 1—Solvent 2—Caffeine 3—Aniline 4—O-toluidine 5— A-methylaniline 6—0-nitroaniline 7— A,A -dimethylaniline 8—P-aminonaphthalene. (From Ref. [25].)... Fig. 4 Separation of basic compounds on the alkylpho-sphonate-modified magnesia-zirconia composite column with 35 65 (v/v) methanol-TRIS buffer (5.0 mM TRIS and 50 mM NaCl, pH 10.0) as mobile phase at a flow rate of 1.0 mL/min. 1—Solvent 2—Caffeine 3—Aniline 4—O-toluidine 5— A-methylaniline 6—0-nitroaniline 7— A,A -dimethylaniline 8—P-aminonaphthalene. (From Ref. [25].)...
Selectivity in HPLC is obtained by setting optimal chromatographic conditions, such as mobile phase composition, column temperature, and detector wavelength. There are a variety of ways to validate selectivity. One approach is to demonstrate a lack of response in the blank biological matrix. A second approach is to check whether the intercept of the calibration curve is significantly different from zero. [Pg.1699]

Robustness Experimental design establishing the changing critical parameters (e.g. mobile phase composition, column temperature). [Pg.135]

High boiling organopolycyclosiloxanes have been analysed436 on a composite column of two stationary phases, Apiezon L and PMS-100 using a thermal conductivity detector. [Pg.429]

The enthalpy balance functions are given by Eq. (8-42). Use of the characteristics of homogeneous functions of degree zero and the approximations presented in Chap. 5 make it possible to regard the mixtures as ideal solutions in the partial differentiation of the G/s. This amounts to neglecting the dependencies of the enthalpies //7i, h on compositions. Column scaling followed by row scaling is recommended. It is anticipated that an internal loop would be required. This loop would be similar to the one used above in the N(r + 2) formulation in which the solution set / , is found on the basis of the assumed sets /,, and 7J. ... [Pg.295]

Supercritical fluid chromatography is compatible with both HPLC and GC detectors. As a result, optical detectors, flame detectors and spectroscopic detectors can be used. The FID is the most common detector used. However, the mobile phase composition, column type and flow rate must be taken into account when the detector is selected. Some care must also be taken such that the detector components are capable of withstanding the high pressures of SFC. [Pg.102]

Fig. 2.2. Chromatograms of 1,3-pentadiene on a composite column containing silver nitrate (column 1) and a column reactor containing chloromaleic anhydride (column 2) at40°C [64]. Carrier gas (helium) flow-rate (A) 77ml/min (B) 11.4ml/min. First peak area (trans isomer) (A) 60% (B) 31%. From ref. 64. Fig. 2.2. Chromatograms of 1,3-pentadiene on a composite column containing silver nitrate (column 1) and a column reactor containing chloromaleic anhydride (column 2) at40°C [64]. Carrier gas (helium) flow-rate (A) 77ml/min (B) 11.4ml/min. First peak area (trans isomer) (A) 60% (B) 31%. From ref. 64.
Complete results are shown in Table II. Column 2 lists the speed Columns 3 and 4 show the results of the fitting technique described above. Columns 5 and 6 indicate the interfacial compositions, Column 7 lists the root-mean square difference between calculated and experimentally measured heights, and the final column lists the e values for each run. [Pg.283]

In this section, we will discuss various causes of retention-time problems and examine their causes. We will discuss the influence of temperature, mobile-phase composition, column contamination, column aging, and various other topics. We will also briefly discuss again column-to-column reproducibility. [Pg.391]

These colloid compositions (columns 6 and 7) are reproduced as functions of the pH by the curves C and E. The colloid proportions of the total mixtures lie on a horisiontal line M (dotted) because they only refer to the same mixing proportion (50% A). [Pg.364]


See other pages where Composite column is mentioned: [Pg.244]    [Pg.483]    [Pg.861]    [Pg.307]    [Pg.551]    [Pg.82]    [Pg.170]    [Pg.92]    [Pg.273]    [Pg.705]    [Pg.20]    [Pg.186]    [Pg.1308]    [Pg.222]    [Pg.234]    [Pg.553]    [Pg.179]    [Pg.134]    [Pg.219]    [Pg.251]    [Pg.129]    [Pg.220]    [Pg.178]    [Pg.366]    [Pg.366]    [Pg.367]    [Pg.269]    [Pg.157]   
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