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Buffer concentration, optimization

The horizontal part is due to the uncatalyzed rate constant, k+, in Eq. (43). A pH profile can be done at, for example, six pH values, and since there are two kinetic points (times) and two buffer concentrations at each, a total of 24 assays are needed, which is not insurmountable. This number may be minimized and optimized by careful selection of pH and buffer concentrations [60]. Later in the program the pH profile should be repeated but with multiple points and several buffer concentrations, but this is beyond the point of preformulation. An example of a full pH profile is one running from pH 1 to pH 11 [61-64]. [Pg.188]

Lee et al. [30] described a micellar electrokinetic capillary chromatographic method for the determination of some antiepileptics including valproic acid. They used a fused silica capillary column (72 cm x 50 pm) and SDS as the micellar phase and multiwavelength UV detection. Reaction conditions, such as pH and concentration of running buffer were optimized. Solutes were identified by characterizing the sample peak in terms of retention time and absorption spectra. Recoveries were 93-105%. [Pg.231]

FIGURE 6 Optimization of buffer concentration resolution map and chromatogram. [Pg.158]

FIGURE 7 Simultaneous optimization of gradient time (t ) and buffer concentration resolution map and chromatogram. [Pg.159]

The first results of optimization in chromatography were published in 1975 Since then a growing number of optimization experiments in HPLC using the Simplex procedure has been reported (table 9). The examples are mainly reversed-phase separations, in which the composition of the ternary or binary mobile phase composition is optimized. The factors optimized are usually a selection from flow rate, column temperature and length, the eluents constitution (e.g. organic modifier content, buffer concentration and pH), the gradient shape. Seven years after the first applications of Simplex optimization had appeared, the first fully automated optimization of HPLC separations was published by Berridge in 1982. This development coincid-... [Pg.23]

For -LCAT activity the apoA-I proteoliposome emulsion is prepared by evaporating 260 pi of 5 mg/ml egg yolk phosphatidylcholine, 150 pi of 1 mg/ml unesteri-fied cholesterol, and 3 pi of 21 Ci/mmol [7-3H(N)]-cholesterol. The dried lipids are dissolved in 125 pi pure ethanol and injected into 10 ml of analysis buffer and vor-texed. The emulsion is concentrated by ultrafiltration to less than 2.5 ml and then filled up to 2.5 ml. A 300-pL aliquot of this emulsion is incubated with 75-150 mg of apoA-I and 1.1 ml analysis buffer. The optimal amount of apoA-I varies from lot to lot and has to be optimized using normal plasma samples. [Pg.538]

The concentration of buffer is also a very important aspect in the optimization of the chiral resolution on these CSPs. It has been reported that an increase in buffer concentration caused a decrease in the retention and selectivity for all amino acids except for the basic amino acids. Therefore, the separation of basic amino acids is possible only with the most concentrated buffers. The buffers of concentrations in the 25-50-mM range were used for the chiral resolutions with some exceptions. In spite of this, few reports are available for the optimization of the chiral resolution by varying the ionic strength of the mobile phase. The effect of ionic strength of phosphate buffer on the chiral resolution of serine was carried out by Gubitz and Jellen [18] and the best resolution was achieved at 0.01 M concentration (Fig. 7). In another study, the concentration of ammonium acetate (0.001-0.01 M) was varied to optimize the chiral resolution of amino acids [19]. The effect of the concentration of ammonium acetate on the chiral resolution of amino... [Pg.277]

Berzas Nevado et al. [138] developed a new capillary zone electrophoresis method for the separation of omeprazole enantiomers. Methyl-/ -cyclodextrin was chosen as the chiral selector, and several parameters, such as cyclodextrin structure and concentration, buffer concentration, pH, and capillary temperature were investigated to optimize separation and run times. Analysis time, shorter than 8 min was found using a background electrolyte solution consisting of 40 mM phosphate buffer adjusted to pH 2.2, 30 mM /1-cyclodextrin and 5 mM sodium disulfide, hydrodynamic injection, and 15 kV separation voltage. Detection limits were evaluated on the basis of baseline noise and were established 0.31 mg/1 for the omeprazole enantiomers. The method was applied to pharmaceutical preparations with recoveries between 84% and 104% of the labeled contents. [Pg.238]

As discussed above a certain buffer concentration is required to perform optimal analyses. The minimum ionic strength required determines the current and Joule heating. This effect can be measured as a deviation from Ohm s law. With organic buffers the conductivity is much smaller for a given ionic strength. Consequently organic zwitterionic buffers, or at least buffers with counterions of low mobility, should be preferred especially when long capillaries have to be used. [Pg.198]

A typical precipitin-curve for the reaction320 between con A and dextran B-1355-S is presented in Fig. 4. Analogous to antibody-antigen precipitin curves, there are three zones lectin excess (all added dextran is precipitated), equivalence (virtually all dextran and lectin are precipitated), and polysaccharide excess (soluble complexes are formed). Optimal precipitation of con A by dextran B-1355-S occurred in 24 h at 25°, between pH 6.1 and 7.2, and was unaffected320 by (buffered) concentrations of sodium chloride of up to 4.2 M. [Pg.166]

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]

Like in any optimization tool, the chromatographer should be wary of extrapolation beyond the scope of the training experiments. Behavior of certain parameters, like temperature and solvent strength, is fairly easily modeled. Other parameters, such as buffer concentration and pH, can be much more difficult to model. In these cases, interpolation between fairly closely spaced points (actual experiments that were performed) is most appropriate. Figure 10.2 shows a resolution map for a two-dimensional system in which solvent composition and trifluoroacetic acid concentration are simultaneously optimized. The chromatographer has collected systematic experiments at TFA concentrations of 5,9,13, and 17mM and acetonitrile concentrations of 30,50, and 70v/v% for a series of small molecules on a Primesep 100 column. [Pg.508]

The influence of borax buffer concentration was investigated in the range from 10 to 100 mM. The sharpest peaks were obtained in the use of 10-30 mM concentrations and the of ENX was almost constant, and an increase was observed in the use of borax concentration above 30 mM, but peak deformation also occurred due to the heat production by the Joule effect. In order to achieve optimization of the proposed analytical... [Pg.636]

The pH optimum for the lactate-to-pyruvate (L—>P) reaction is 8.8 to 9.8, and an assay mixture, optimized for LD-1 at 37 °C, contains NAD% 9mmol/L, and L-lactate, 80mmol/L. For the P —> L assay, at 37 °C, the pH optimum is 7.4 to 7.8, NADH 300fJ.mol/L, and pyruvate 0.85mmol/L. The optimal pH varies with the predominant isoenzymes in the sample and depends on the temperature and on substrate and buffer concentrations. The specificity of the enzyme extends from L-lactate to various related 2-hydroxyacids and 2-oxo-acids. The catalytic oxidation of 2-hydroxybutyrate, the next higher homologue of lactate, to 2-oxobutyrate is referred to as 2-hydroxybutyrate dehydrogenase (HBD) activity. LD does not act on n-lactate, and only NAD serves as a coenzyme. [Pg.601]

Often, the separation factor can be increased by changing the experimental conditions of the separation, such as by decreasing the organic modifier concentration, the buffer concentration, the type of buffer used, or the pH of the mobile phase. These methods must be used to optimize the separation factor. Provided the coliunn saturation capacity does not decrease when cc increases, which may happen with macromolecules, this means maximizing a. [Pg.550]


See other pages where Buffer concentration, optimization is mentioned: [Pg.21]    [Pg.21]    [Pg.842]    [Pg.733]    [Pg.708]    [Pg.274]    [Pg.619]    [Pg.188]    [Pg.188]    [Pg.157]    [Pg.37]    [Pg.693]    [Pg.47]    [Pg.50]    [Pg.612]    [Pg.781]    [Pg.93]    [Pg.126]    [Pg.175]    [Pg.363]    [Pg.375]    [Pg.191]    [Pg.133]    [Pg.153]    [Pg.382]    [Pg.84]    [Pg.197]    [Pg.383]    [Pg.392]    [Pg.837]    [Pg.1274]    [Pg.246]    [Pg.468]    [Pg.230]    [Pg.610]   
See also in sourсe #XX -- [ Pg.157 , Pg.158 ]




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