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Separation optimization in HPLC analysis implemented in R programming language.

Ch Zisi1, A Pappa-Louisi1, P Nikitas1

  • 1Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Journal of Chromatography. A
|January 15, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an R-language package for optimizing chromatographic separations of complex mixtures. It provides tools for baseline correction, peak modeling, retention prediction, and automated or manual separation optimization for improved analytical results.

Keywords:
Computer assisted separation optimization and simulationHPLC analysisIsocratic and gradient elutionR programming language

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Area of Science:

  • Analytical Chemistry
  • Computational Chemistry

Background:

  • Chromatographic separation of complex mixtures is crucial in analytical chemistry.
  • Optimizing separation conditions, including gradient elution and pH, is often challenging and time-consuming.

Purpose of the Study:

  • To develop a comprehensive R-language package for the professional optimization of chromatographic separations.
  • To provide automated and manual modes for selecting optimal separation conditions based on resolution and time.

Main Methods:

  • Development of R functions for baseline correction, peak shape and retention data modeling.
  • Implementation of retention time prediction for analytes.
  • Creation of optimization functions for isocratic and gradient elution by adjusting organic modifier content and eluent pH.

Main Results:

  • The R package offers automated optimization by maximizing resolution within a set time.
  • Manual optimization is facilitated through scatter and contour plots.
  • The method provides foreknowledge of resolution and separation time dependence on retention parameters.

Conclusions:

  • The developed R package enables confident selection of optimal separation conditions for complex mixtures.
  • Computer-assisted separation optimization enhances efficiency and reliability in chromatographic analysis.
  • The package supports both novice and experienced R users in HPLC analysis.