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Solvation parameter model system constants

Figure 1.3. Variation of the system constants of the solvation parameter model (section 1.4.3) with temperature for 37 % (v/v) propan-2-oI in water on the porous polymer PLRP-S stationary phase. The m constant reflects the difference in cohesion and dispersive interactions, r constant loan-pair electron interactions, s constant dipole-type interactions, a constant hydrogen-bond basicity and b constant hydrogen-bond acidity between the mobile and stationary phases. (From ref. [89] The Royal Society of Chemistry). Figure 1.3. Variation of the system constants of the solvation parameter model (section 1.4.3) with temperature for 37 % (v/v) propan-2-oI in water on the porous polymer PLRP-S stationary phase. The m constant reflects the difference in cohesion and dispersive interactions, r constant loan-pair electron interactions, s constant dipole-type interactions, a constant hydrogen-bond basicity and b constant hydrogen-bond acidity between the mobile and stationary phases. (From ref. [89] The Royal Society of Chemistry).
The master retention equation of the solvation parameter model relating the above processes to experimentally quantifiable contributions from all possible intermolecular interactions was presented in section 1.4.3. The system constants in the model (see Eq. 1.7 or 1.7a) convey all information of the ability of the stationary phase to participate in solute-solvent intermolecular interactions. The r constant refers to the ability of the stationary phase to interact with solute n- or jr-electron pairs. The s constant establishes the ability of the stationary phase to take part in dipole-type interactions. The a constant is a measure of stationary phase hydrogen-bond basicity and the b constant stationary phase hydrogen-bond acidity. The / constant incorporates contributions from stationary phase cavity formation and solute-solvent dispersion interactions. The system constants for some common packed column stationary phases are summarized in Table 2.6 [68,81,103,104,113]. Further values for non-ionic stationary phases [114,115], liquid organic salts [68,116], cyclodextrins [117], and lanthanide chelates dissolved in a poly(dimethylsiloxane) [118] are summarized elsewhere. [Pg.99]

System constants derived from the solvation parameter model for packed column stationary phases at 121°C... [Pg.100]

Figure 2.7. Principal component score plot with the system constants from the solvation parameter model as variables for 52 non hydrogen-bond acid stationary phases at 121°C. Loading for PC 1 0.996 a + 0.059 s -0.054 / - 0.024 c - 0.014 r. Loading for PC 2 0.940 s + 0.328 / + 0.080 r + 0.027 c - 0.037 a. Figure 2.7. Principal component score plot with the system constants from the solvation parameter model as variables for 52 non hydrogen-bond acid stationary phases at 121°C. Loading for PC 1 0.996 a + 0.059 s -0.054 / - 0.024 c - 0.014 r. Loading for PC 2 0.940 s + 0.328 / + 0.080 r + 0.027 c - 0.037 a.
Figure 2.8. Nearest neighbor complete link cluster dendrogram for the stationary phases in Table 2.6. The system constants from the solvation parameter model were used as variables. Figure 2.8. Nearest neighbor complete link cluster dendrogram for the stationary phases in Table 2.6. The system constants from the solvation parameter model were used as variables.
The system of stationary phase constants introduced by Rohrschneider [282,283] and later modified by McReynolds [284] was the first widely adopted approach for the systematic organization of stationary phases based on their selectivity for specific solute interactions. Virtually all-popular stationary phases have been characterized by this method and compilations of phase constants are readily available [28,30]. Subsequent studies have demonstrated that the method is unsuitable for ranking stationary phases by their selectivity for specific interactions [29,102,285-287]. The solvation parameter model is suggested for this purpose (section 2.3.5). A brief summary of the model is presented here because of its historical significance and the fact that it provides a useful approach for the prediction of isothermal retention indices. [Pg.138]

Rohrschneider s approach is able to predict retention index values for solute s with known solute constants (a, through e) [283,288]. These are determined from AI values for the solute on at least five phases of known phase constants and solving the series of linear equations. The retention index of the solute on any phase of known phase constants (X through S ) can then be calculated from Eq. (2.8). The theoretical defects of the method for assigning intermolecular interactions do not apply to the prediction of retention index values. A mean error of about 6 index units was indicated in some calculations. The retention or retention index values for thousands of compounds can be calculated from literature compilations of solute descriptors and the system constants summarized in Tables 2.6 and 2.8 using the solvation parameter model [103]. The field of structure-driven prediction of retention in gas chromatography is not well developed at present and new approaches will likely emerge in the future. [Pg.140]

Influence of solvent type on the system constants of the solvation parameter model for a cyanopropylsiloxane-bonded silica sorbent in reversed-phase chromatography (r = 0 in all cases)... [Pg.310]

System constants of the solvation parameter model for liquid-solid chromatography... [Pg.330]

For chromatographic applications, the most useful models of solvent properties are the solubility parameter concept, Snyder s solvent strength and selectivity parameters, solvatochromic parameters and the system constants of the solvation parameter model for gas to liquid transfer. The Hildebrand solubility parameter, 8h (total solubility parameter), is a rough measure of solvent strength, and is easily caleulated from the physical properties of the pure solvent. It is equivalent to the square root of the solvent vaporization energy divided by its molar volume. The original solubility parameter concept was developed from assumptions of regular solution behavior in which the principal intermolecular interactions were dominated by dispersion forces. [Pg.367]

System constants from the solvation parameter model for transfer from the gas phase to the solvent at 25°C... [Pg.372]

Method development for binary mobile phases using the solvation parameter model is based on the use of system maps. A system map is a continuous plot of the system constants obtained from experimental data fit to the solvation parameter model against mobile phase composition. However, once constructed the system map is a permanent record of system properties. It is used in all calculations and is not restricted to the compounds used to construct the system map. A typical system map for methanol-water mobile phases on a 3-cyanopropylsiloxane-bonded layer is shown in Figure 6.17. System maps for several binary mobile phases on octadecylsiloxane-bonded [95],... [Pg.548]

Figure 7.7. System constants of the solvation parameter model for retention on a porous polymer stationary phase with a binary mixture of carbon dioxide and 1,1,1,2-tetrafluoroethane as the mobile phase. Column 25 cm X 4.6 mm I.D. Jordi-Gel RP-C18 with a 5 pm average particle diameter. The total fluid flow rate was 1.0 ml/min, backpressure 200 bar and ternperamre I25°C. Figure 7.7. System constants of the solvation parameter model for retention on a porous polymer stationary phase with a binary mixture of carbon dioxide and 1,1,1,2-tetrafluoroethane as the mobile phase. Column 25 cm X 4.6 mm I.D. Jordi-Gel RP-C18 with a 5 pm average particle diameter. The total fluid flow rate was 1.0 ml/min, backpressure 200 bar and ternperamre I25°C.
System constant ratios from the solvation parameter model for surfactant micelles (Temperature = 20-25°C except were noted)... [Pg.654]

Figure 8.5. Plot of the system constants (solvation parameter model) against composition for a mixed micelle electrolyte solution containing 50 mM sodium N-dodeconyl-N-methyltaurine and different amounts of the non-ionic surfactant Brij 35 (polyoxyethylene [23] dodecyl ether) (Left). Plot of the system constants for a mixed micelle buffer containing 50 mM sodium N-dodecanoyl-N-methyltaurine and 20 mM Brij 35 against the volume fraction of acetonitrile added to the electrolyte solution (Right). System constants m = difference in cavity formation and dispersion interactions r = difference in electron lone pair interactions s = difference in dipole-type interactions a = difference in hydrogen-bond basicity and b = difference in hydrogen-bond acidity. (From ref. [218] Royal Society of Chemistry). Figure 8.5. Plot of the system constants (solvation parameter model) against composition for a mixed micelle electrolyte solution containing 50 mM sodium N-dodeconyl-N-methyltaurine and different amounts of the non-ionic surfactant Brij 35 (polyoxyethylene [23] dodecyl ether) (Left). Plot of the system constants for a mixed micelle buffer containing 50 mM sodium N-dodecanoyl-N-methyltaurine and 20 mM Brij 35 against the volume fraction of acetonitrile added to the electrolyte solution (Right). System constants m = difference in cavity formation and dispersion interactions r = difference in electron lone pair interactions s = difference in dipole-type interactions a = difference in hydrogen-bond basicity and b = difference in hydrogen-bond acidity. (From ref. [218] Royal Society of Chemistry).
Subsequently, the model has been extended [37, 38] to the case of associated electrolytes by using a recent model for associating electrolytes[39]. Unlike the classic chemical model of the ion pair the effect of the pairing association is included in the computation of the MSA screening parameter F. Simple formulas for the thermodynamic excess properties have been obtained in terms of this parameter when a new EXP approximation is used. The new formalism based on closures of the Wertheim-Ornstein-Zernike equation (WOZ)[40, 41 does accommodate all association mechanisms (coulombic, covalent and solvation) in one single association parameter, the association constant. The treatment now includes the fraction of particles that are bonded, which is obtained by imposing the chemical equilibrium mass action law. This formalism was shown to be very successful for ionic systems, both in the HNC approximation and MSA [42, 43, 44, 45, 46, 47]. [Pg.107]


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Constant parameters

Model parameter

Modeling solvation

Solvate models

Solvate systems

Solvated system

Solvation Models

Solvation constant

Solvation parameter

Solvation parameter model

System parameters

Systems constant

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