1999
DOI: 10.1081/jlc-100102075
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The Mechanism of Copolymer Retention in Interactive Polymer Chromatography. I. Critical Point of Adsorption for Statistical Copolymers

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Cited by 66 publications
(46 citation statements)
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“…They assumed that only one monomer type was adsorptive. The simulation results were found in good agreement with a theoretical equation proposed by Brun [120]. Subsequently, the selective adsorption of a heteropolymer on heterogeneous surfaces was examined [121,122].…”
Section: Predicting Chromatographic Separation For Polyolefins Based supporting
confidence: 73%
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“…They assumed that only one monomer type was adsorptive. The simulation results were found in good agreement with a theoretical equation proposed by Brun [120]. Subsequently, the selective adsorption of a heteropolymer on heterogeneous surfaces was examined [121,122].…”
Section: Predicting Chromatographic Separation For Polyolefins Based supporting
confidence: 73%
“…The symbols represent the CAP determined by the simulation, whereas the lines are the plots according to Brun's theoretical equation [120]. From [123] with permission.…”
Section: Discussionmentioning
confidence: 99%
“…We showed previously [16] that the chromatographic behavior of any ergodic statistical copolymer is similar to that of a homopolymer with some effective segment interaction energy e eff , even when segment interaction energies, e i , of the individual monomer units A i are different from each other. This effective energy e eff is a function of the individual values e i .…”
Section: Cpa For Statistical Copolymersmentioning
confidence: 96%
“…But the separation by chemical composition is not the only possible application of this technique. We showed theoretically [16] that CPA for statistical copolymers depends not only on chemical composition but also on microstructure (blockiness) of the polymer chains. It has been predicted that blockiness always increases retention, so that among two polymer chains with the same chemical composition the one with more blocky sequence distribution will elute later than its more random counterpart [16].…”
Section: Introductionmentioning
confidence: 98%
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