Computational algorithm to predict peak profiles in preparative high-performance chromatography

Kyung Ho Row; Alexander V. Larin

doi:10.1007/BF02705852

Computational algorithm to predict peak profiles in preparative high-performance chromatography

Kyung Ho Row, Alexander V. Larin

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The computational algorithm and the Prep-LEAR program have been performed on the basis of the LEA model of chromatography. This program intends for calculation of peak profiles in non-linear high-performance chromatography and uses unsimplified adsorption isotherm equations. The computational algorithm and program have been tested by applying these to experimental data of thymine adsorption under conditions of reversed-phase high-performance liquid chromatography. The results of numerical calculations for different sample size introduced agree satisfactorily with experimental data and show the characteristic properties of high-performance chromatography. The usefulness of the Prep-LEAR program was confirmed by predicting peak profiles in preparative adsorption Chromatographic processes.

Original language	English
Pages (from-to)	512-515
Number of pages	4
Journal	Korean Journal of Chemical Engineering
Volume	12
Issue number	5
DOIs	https://doi.org/10.1007/BF02705852
State	Published - Nov 1995

Keywords

Computational Algorithm
LEA Model
Non-linear Adsorption Isotherm
Peak Profiles
Prep-LEAR Program
Preparative Chromalography

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10.1007/BF02705852

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title = "Computational algorithm to predict peak profiles in preparative high-performance chromatography",

abstract = "The computational algorithm and the Prep-LEAR program have been performed on the basis of the LEA model of chromatography. This program intends for calculation of peak profiles in non-linear high-performance chromatography and uses unsimplified adsorption isotherm equations. The computational algorithm and program have been tested by applying these to experimental data of thymine adsorption under conditions of reversed-phase high-performance liquid chromatography. The results of numerical calculations for different sample size introduced agree satisfactorily with experimental data and show the characteristic properties of high-performance chromatography. The usefulness of the Prep-LEAR program was confirmed by predicting peak profiles in preparative adsorption Chromatographic processes.",

keywords = "Computational Algorithm, LEA Model, Non-linear Adsorption Isotherm, Peak Profiles, Prep-LEAR Program, Preparative Chromalography",

author = "Row, {Kyung Ho} and Larin, {Alexander V.}",

year = "1995",

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doi = "10.1007/BF02705852",

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AU - Row, Kyung Ho

AU - Larin, Alexander V.

PY - 1995/11

Y1 - 1995/11

N2 - The computational algorithm and the Prep-LEAR program have been performed on the basis of the LEA model of chromatography. This program intends for calculation of peak profiles in non-linear high-performance chromatography and uses unsimplified adsorption isotherm equations. The computational algorithm and program have been tested by applying these to experimental data of thymine adsorption under conditions of reversed-phase high-performance liquid chromatography. The results of numerical calculations for different sample size introduced agree satisfactorily with experimental data and show the characteristic properties of high-performance chromatography. The usefulness of the Prep-LEAR program was confirmed by predicting peak profiles in preparative adsorption Chromatographic processes.

AB - The computational algorithm and the Prep-LEAR program have been performed on the basis of the LEA model of chromatography. This program intends for calculation of peak profiles in non-linear high-performance chromatography and uses unsimplified adsorption isotherm equations. The computational algorithm and program have been tested by applying these to experimental data of thymine adsorption under conditions of reversed-phase high-performance liquid chromatography. The results of numerical calculations for different sample size introduced agree satisfactorily with experimental data and show the characteristic properties of high-performance chromatography. The usefulness of the Prep-LEAR program was confirmed by predicting peak profiles in preparative adsorption Chromatographic processes.

KW - Computational Algorithm

KW - LEA Model

KW - Non-linear Adsorption Isotherm

KW - Peak Profiles

KW - Prep-LEAR Program

KW - Preparative Chromalography

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EP - 515

JO - Korean Journal of Chemical Engineering

JF - Korean Journal of Chemical Engineering

IS - 5

ER -

Computational algorithm to predict peak profiles in preparative high-performance chromatography

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Keywords

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