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Fourier transform (FT) data analysis determines monomer composition from polymer mass spectra. This method accurately identifies monomers in complex polymer samples using various ionization techniques.

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Area of Science:

  • Polymer Chemistry
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Fourier transform (FT) data analysis has evolved from nominal-mass spectra to complex electrospray ionization mass spectra.
  • Previous applications focused on determining monomer mass or interpreting unresolved envelopes in ionic polymer mass spectra.

Purpose of the Study:

  • To apply FT data analysis for determining monomer composition in isotopically resolved accurate-mass mass spectra.
  • To extend FT analysis to various ionization techniques including MALDI, pyrolysis DART, and PaperSpray.
  • To analyze complex polymer mixtures, copolymers, and homopolymers.

Main Methods:

  • Utilized FT data analysis on accurate-mass MALDI, pyrolysis DART, and PaperSpray mass spectra.
  • Employed accurate mass search and elemental composition calculations on transformed data.
  • Used mass defect plots to graphically select individual series for complex spectra analysis.

Main Results:

  • Successfully determined monomer compositions for synthetic homopolymers, copolymers, and polymer mixtures.
  • Demonstrated the effectiveness of FT analysis across different mass spectrometry techniques.
  • Facilitated analysis of complex spectra with multiple polymers, charge states, and fragments.

Conclusions:

  • FT data analysis is a powerful tool for elucidating monomer composition in diverse polymer mass spectra.
  • The method provides accurate monomer identification, even in complex and mixed polymer systems.
  • Graphical selection from mass defect plots enhances the analysis of intricate mass spectral data.