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Improving visualization of trace components for quantification using a power law based integration approach.

Garrett Hellinghausen1, M Farooq Wahab1, Daniel W Armstrong1

  • 1Department of Chemistry and Biochemistry, The University of Texas at Arlington, Arlington, TX 76019, USA.

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|September 15, 2018
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Summary
This summary is machine-generated.

This study introduces a simple, Excel-based normalized power law method for enhancing trace chiral component analysis. It improves visualization and quantitation of enantiomers, even with overlapping peaks.

Keywords:
Baseline driftDerivativeNoisePeak puritySegmented power lawUltrafast chiral chromatography

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Area of Science:

  • Analytical Chemistry
  • Chromatography

Background:

  • Chiral separations are crucial for differentiating enantiomers using mass spectrometry.
  • Challenging chiral separations often require resolution enhancement techniques beyond column screening.
  • Traditional power law methods alter peak areas non-linearly, limiting quantitative accuracy.

Purpose of the Study:

  • To develop a simple, reproducible method for enhancing trace chiral component analysis.
  • To enable accurate quantitation of enantiomers, especially in low signal-to-noise environments.
  • To provide tools for analyzing difficult chiral separations, including enantiopurity and peak purity.

Main Methods:

  • Utilized a normalized power law protocol adaptable in Microsoft Excel.
  • Applied a segmented normalized power law for complex, overlapped peaks.
  • Employed first and second derivatives to detect coeluting enantiomeric impurities under overload conditions.

Main Results:

  • The normalized power law method enhances visualization and simplifies integration of trace components.
  • Accurate quantitative data for trace enantiomeric components was extracted.
  • Virtual enhancement of coeluting trace components and tailing enantiomers was achieved.
  • Derivative tests identified enantiomeric impurities coeluting with dominant enantiomers.

Conclusions:

  • The developed Excel-based protocol offers a convenient and reproducible approach for accurate trace enantiomer quantitation.
  • Resolution enhancement techniques, including normalized power law and derivatives, are valuable for difficult chiral analyses.
  • This method is particularly effective for ultrafast chromatography, enantiopurity, and peak purity assessments.