Kinetic plots for gas chromatography: Theory and experimental verification

Jespers, Sander; Roeleveld, Kevin; Lynen, Frédéric; Broeckhoven, Ken; Desmet, Gert

doi:10.1016/j.chroma.2015.01.053

Cited by 16 publications

(32 citation statements)

References 44 publications

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“…Thus, the conditions used in the first dimension differed from those used in "optimized" 1D analysis. Moreover, the optimal conditions defined in 1D-GC and in the first dimension were ever different since the pressure conditions and the columns lengths changed, which influenced kinetic performance limits [39]. Finally, in GC × GC, resolution in the first dimension is affected more or less by the modulation [40].…”

Section: Application To a Real Samplementioning

confidence: 96%

Comprehensive Two-dimensional Gas Chromatography for Analysis of the Volatile Compounds and Fishy Odor Off-flavors from Heated Rapeseed Oil

Sghaier

Cordella²,

Rutledge

et al. 2015

Chromatographia

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Section: Application To a Real Samplementioning

confidence: 96%

Comprehensive Two-dimensional Gas Chromatography for Analysis of the Volatile Compounds and Fishy Odor Off-flavors from Heated Rapeseed Oil

Sghaier

Cordella²,

Rutledge

et al. 2015

Chromatographia

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“…An original approach to the problem of optimization of GC separations was presented recently by Jespers et al. . Primarily, the concept was developed for the calculation and comparison of the kinetic performance limits (KPL) of different LC systems and in details will be discussed later in the review.…”

Section: Gcmentioning

confidence: 99%

“…Jespers et al. accounted for these complications by incorporation of compressibility factors f . The suggested equations for the so‐called plate height translation method are shown below:

N_{Δ p_{\max}} = (\frac{Δ p_{\max}}{η} [\frac{K_{normalV}}{u_{o} H_{o}}]) \frac{f_{H}}{f_{normalG} f_{normalM}}

t_{o_{\max}} = (\frac{Δ p_{\max}}{η} [\frac{K_{normalV}}{u_{o}^{2}}]) \frac{f_{H}}{f_{normalM}^{2}}

…”

Section: Gcmentioning

confidence: 99%

“…they provide a maximum plate count N for a given t o or vice‐versa minimum analysis time t o for a given N (according to Jespers et al. these are the two equivalent criteria defining the kinetic performance limit). However it is not true in GC where solute diffusion coefficient in the mobile phase D m and correspondingly plate height H are functions of the pressure.…”

Section: Gcmentioning

confidence: 99%

“…However it is not true in GC where solute diffusion coefficient in the mobile phase D m and correspondingly plate height H are functions of the pressure. Finding N opt and t o,opt requires in GC a different calculus . First of all an optimal pressure drop Δ p for chosen analysis time t o should be found by solution of cubic equation:

Δ p^{3} + 3 p_{normalo} (Δ p^{2}) - β = 0

where

β = \frac{6 B}{C_{m}} \frac{η t_{normalo}}{K_{V}}

.…”

Section: Gcmentioning

confidence: 99%

See 2 more Smart Citations

Application of kinetic plots in gas and liquid chromatography for the optimization of separation conditions

Kurganov

Kanat’eva

Yakubenko

2015

J of Separation Science

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This review describes the recent achievements and historical background of investigations in optimization procedures in gas and liquid chromatographic techniques. The optimization parameters are varied depending on researcher interests and may include separation efficiency, analysis time, column operation pressure, packing characteristics, etc. As it is shown the kinetic performance limit is one of the most used and vital concepts for gas and liquid chromatography. Application of the concept sometimes requires additional cumbersome calculations but nevertheless it provides the most grounded comparison of different packings, columns, and techniques.

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Methods to determine the kinetic performance limit of contemporary chromatographic techniques

Broeckhoven

Desmet

2020

J of Separation Science

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By combining separation efficiency data as a function of flow rate with the column permeability, the kinetic plot method allows to determine the limits of separation power (time vs. efficiency) of different chromatographic techniques and methods. The technique can be applied for all different types of chromatography (liquid, gas, or supercritical fluid), for different types of column morphologies (packed beds, monoliths, open tubular, micromachined columns), for pressure and electro‐driven separations and in both isocratic and gradient elution mode. The present contribution gives an overview of the methods and calculations required to correctly determine these kinetic performance limits and their underlying limitations.

show abstract

Kinetic plots for gas chromatography: Theory and experimental verification

Cited by 16 publications

References 44 publications

Comprehensive Two-dimensional Gas Chromatography for Analysis of the Volatile Compounds and Fishy Odor Off-flavors from Heated Rapeseed Oil

Comprehensive Two-dimensional Gas Chromatography for Analysis of the Volatile Compounds and Fishy Odor Off-flavors from Heated Rapeseed Oil

Application of kinetic plots in gas and liquid chromatography for the optimization of separation conditions

Methods to determine the kinetic performance limit of contemporary chromatographic techniques

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