2000
DOI: 10.1006/jcis.2000.6800
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Effects of Multisolute Steric Interactions on Membrane Partition Coefficients

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Cited by 52 publications
(83 citation statements)
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“…Since we wanted to model the DNA fragments as cylinders instead of spheres, the theoretical approach developed by the Blankschtein and Deen research groups (Lazzara et al, 2000;Nikas et al, 1992) for modeling partitioning was extended to incorporate cylinder-cylinder, that is, DNA-micelle, excluded-volume interactions. Specifically, the partition coefficient of the DNA fragments is equal to the probability of the DNA fragments not intersecting micelles in the top phase divided by the same probability for the bottom phase.…”
Section: Theoretical Aspects Excluded-volume Theorymentioning
confidence: 99%
“…Since we wanted to model the DNA fragments as cylinders instead of spheres, the theoretical approach developed by the Blankschtein and Deen research groups (Lazzara et al, 2000;Nikas et al, 1992) for modeling partitioning was extended to incorporate cylinder-cylinder, that is, DNA-micelle, excluded-volume interactions. Specifically, the partition coefficient of the DNA fragments is equal to the probability of the DNA fragments not intersecting micelles in the top phase divided by the same probability for the bottom phase.…”
Section: Theoretical Aspects Excluded-volume Theorymentioning
confidence: 99%
“…In section 4, a comparison of results from Eqs. [3] and [17] is made using the conditions from the partitioning experiments described in Section 3.…”
Section: Effects Of Charge and Solute Concentrationmentioning
confidence: 99%
“…The predictions of Eq. [3] apply to infinitely dilute solute concentrations. Using density functional theory and Monte Carlo simulations, Fanti and Glandt (5,6) investigated the effect of solute concentration on the partitioning of spherical particles in gels.…”
Section: Introductionmentioning
confidence: 99%
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“…The distribution coefficient is an important parameter in size exclusion chromatography. Therefore, many efforts have been undertaken to predict this distribution coefficient from the size and shape of the solute(s) and the size, shape and concentration of the fibers or obstacles [8][9][10][11][12][13][14]. One of the first efforts has been undertaken by Ogston [8], who has derived a model for the distribution coefficient that is based on the available space fraction for a rigid spherical solute in a random distribution of long fibers.…”
Section: Distribution Coefficients In Size Exclusion Chromatographymentioning
confidence: 99%