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Overlapping peak separation algorithm for ion mobility spectra based on multistrategy JAYA.

Weiyang Zhang1,2, Jing Cai3, Wenqing Gao2

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Summary
This summary is machine-generated.

A new Multistrategy JAYA algorithm (MSJAYA) effectively resolves overlapping peaks in ion mobility spectrometry (IMS), improving compound identification. This robust method enhances IMS resolution without special parameters.

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Area of Science:

  • Analytical Chemistry
  • Separation Science

Background:

  • Ion mobility spectrometry (IMS) is a key analytical tool in separation science.
  • Insufficient structural resolution in IMS often leads to overlapping peaks, hindering accurate analysis.
  • A method is needed to address peak overlap and improve IMS capabilities.

Purpose of the Study:

  • To develop a novel method for resolving overlapping peaks in ion mobility spectrometry.
  • To enhance the structural resolution and accuracy of IMS analysis.
  • To improve the qualitative and quantitative analysis of compounds using IMS.

Main Methods:

  • The study employed a Multistrategy JAYA algorithm (MSJAYA).
  • This algorithm balances exploration and exploitation using population information.
  • It aims to prevent local optimization and accurately resolve overlapping peaks.

Main Results:

  • MSJAYA demonstrated a maximum separation error within 0.6%, outperforming other tested algorithms (IPSO, DIWPSO, MDTLBO).
  • The algorithm exhibited superior robustness with minimal separation error fluctuations.
  • MSJAYA efficiently obtained optimal spectral peak model coefficients for accurate compound identification.

Conclusions:

  • MSJAYA offers improved applicability for overlapping peak separation in IMS due to its lack of special parameter requirements.
  • The method enables rapid deconvolution analysis of complex, overlapping peaks.
  • This significantly enhances the overall resolution and analytical power of ion mobility spectrometry.