1978
DOI: 10.1021/ac50036a044
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Expanded solubility parameter treatment for classification and use of chromatographic solvents and adsorbents

Abstract: The application of an expanded solubility parameter treatment in terms of interaction forces to various chromatographic processes is examined. Estimation of selectivity and classification of phase systems is possible with this approach. The general scheme is developed by relating the model to the processes of vaporization, solution, mixing, and adsorption. The scheme is first applied to gas-liquid chromatography. The Rohrschneider empirical approach for classification of stationary liquid phases is derived in … Show more

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Cited by 188 publications
(65 citation statements)
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“…[10]). Many classification schemes have been proposed for organic compounds, but one scheme has emerged that has a thermodynamic basis and wide applicability [11,12,13]. The total solubility parameter (d T ) is defined as the cohesive energy density of a compound in the pure state.…”
Section: Vj and Vjmentioning
confidence: 99%
“…[10]). Many classification schemes have been proposed for organic compounds, but one scheme has emerged that has a thermodynamic basis and wide applicability [11,12,13]. The total solubility parameter (d T ) is defined as the cohesive energy density of a compound in the pure state.…”
Section: Vj and Vjmentioning
confidence: 99%
“…Determination of the solubility parameter for solid materials by means of inverse gas chromatography is based on the model of adsorption described by Snyder and Karger and requires the knowledge of adsorption energy value (19) for the respective test solutes [46][47][48].…”
Section: Theoreticalmentioning
confidence: 99%
“…The data may also be used for testing extended solubility-parameter models. In the present paper three such extended-solution treatments (3)(4)(5)(6)(7)(8) are considered. In addition, the degree of constancy of the ratio of the dipole -induced dipole interaction parameters of a solute in two given solvents, first reported by Milanova and Cave (I), was tested.…”
Section: Introductionmentioning
confidence: 99%