2001
DOI: 10.1021/ac0108717
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Influence of Analyte Overloading on Retention in Gas−Liquid Chromatography:  A Molecular Simulation View

Abstract: In an attempt to elucidate the molecular basis for concentration (isotherm) effects on retention in gas-liquid chromatography, configurational-bias Monte Carlo simulations in the Gibbs ensemble were carried out to investigate changes in analyte partitioning caused by overloading a model chromatographic system with either an alkane or an alcohol. Squalane was used as the stationary-phase material, and the analytes included n-pentane, n-hexane, n-heptane, 1 -butanol, and 1-pentanol. Three systems were studied th… Show more

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Cited by 15 publications
(19 citation statements)
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“…As a result, the properties of the coexisting phases (e.g., structures, mutual solubilities, and solute partitioning) can be determined directly from a single simulation. 21,[28][29][30] Two different systems were used here to investigate the effect of water on the solvent characteristic and structural organization of the dry and wet 1-octanol phases: system G/O (vapor/dry 1-octanol) and system G/O*/W (vapor/wet 1-octanol/water). In addition to 1-octanol and water solvent molecules, the simulated systems also contained eight types of solute molecules: methane to n-butane and methanol to 1-butanol.…”
Section: Simulation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, the properties of the coexisting phases (e.g., structures, mutual solubilities, and solute partitioning) can be determined directly from a single simulation. 21,[28][29][30] Two different systems were used here to investigate the effect of water on the solvent characteristic and structural organization of the dry and wet 1-octanol phases: system G/O (vapor/dry 1-octanol) and system G/O*/W (vapor/wet 1-octanol/water). In addition to 1-octanol and water solvent molecules, the simulated systems also contained eight types of solute molecules: methane to n-butane and methanol to 1-butanol.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…Configurational-bias Monte Carlo (CBMC) simulations , in the Gibbs ensemble (GE) are ideally suited for an investigation of the octanol−water partitioning system because these simulations employ two or three separate simulation boxes which are in thermodynamic contact (analogous to the experimental setup). As a result, the properties of the coexisting phases (e.g., structures, mutual solubilities, and solute partitioning) can be determined directly from a single simulation. , Two different systems were used here to investigate the effect of water on the solvent characteristic and structural organization of the dry and wet 1-octanol phases: system G/O (vapor/dry 1-octanol) and system G/O*/W (vapor/wet 1-octanol/water). In addition to 1-octanol and water solvent molecules, the simulated systems also contained eight types of solute molecules: methane to n -butane and methanol to 1-butanol.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…Called TraPPE (transferable potentials for phase equilibria), this force field has been extended to branched alkanes, alkenes, and arenes; , to primary, secondary, and tertiary alkanols; and to molecules containing ether, glycol, diol, ketone, or aldehyde functionalities . The TraPPE force field has already found many applications, including retention in chromatographic systems, , octanol−water and hexadecane−water partitioning, , dynamics in biophysical systems, design of biomimetic and CO 2 -philic polymers, , miscibility in polymer systems, adsorption in pharmaceutical solids, and transport properties of lubricants. …”
Section: Introductionmentioning
confidence: 99%
“…On the other side, there are a lot of publications devoted to the description and modeling the distortions of the shapes of chromatographic peaks influenced by different factors, including sample size and overloading the column (see, e.g. [30][31][32][33][34][35][36]). However, such distortions have never been considered in relation to the dependence of retention indices of analytes vs. the ratio of their amounts to the quantities of reference compounds.…”
Section: Interpretation Of the Dependence Ri( ) By Computer Modelingmentioning
confidence: 99%