Chromatographic parameters: Characteristic parameters of solute retention – an insightful description of column properties

Blumberg, Leonid M.

doi:10.1016/j.chroma.2022.463594

Cited by 14 publications

(2 citation statements)

References 51 publications

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“…The general relationship is consistent with observations of Blumberg . A strong influence of different phase ratios on the correlation of θ char on T char , as described in ref could not be observed in this data. Interactive 3D figures of the K -centric and the ABC parameters can be found in Supporting Information, Figures S3 and S4.…”

Section: Resultssupporting

confidence: 93%

“…Via simulation, those retention data can also be used for prediction of retention indices similar to the LSER approach . The retention data presented in this work are temperature-independent and can therefore be used for prediction of temperature programs . Therefore, compared to the LSER approach K -centric retention data can describe the change of retention factor k with the temperature.…”

Section: Introductionmentioning

confidence: 99%

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Retention Database for Prediction, Simulation, and Optimization of GC Separations

Brehmer,

Duong,

Marquart

et al. 2023

ACS Omega

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This work presents an open source database with suitable retention parameters for prediction and simulation of GC separations and gives a short introduction to three common retention models. Useful computer simulations play an important role to save resources and time in method development in GC. Thermodynamic retention parameters for the ABC model and the K-centric model are determined by isothermal measurements. This standardized procedure of measurements and calculations, presented in this work, have a useful benefit for all chromatographers, analytical chemists, and method developers because it can be used in their own laboratories to simplify the method development. The main benefits as simulations of temperature-programed GC separations are demonstrated and compared to measurements. The observed deviations of predicted retention times are in most cases less than 1%. The database includes more than 900 entries with a large range of compounds such as VOCs, PAHs, FAMEs, PCBs, or allergenic fragrances over 20 different GC columns.

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Section: Resultssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%