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Issue 10, 2019
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Electrospray ionization-ion mobility spectrometry–high resolution tandem mass spectrometry with collision-induced charge stripping for the analysis of highly multiply charged intact polymers

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Abstract

Polymers with large molecular weight are difficult to interpret using electrospray ionization-mass spectrometry (ESI-MS) due to the generation of various highly multiply charged analytes. Although ESI-ion mobility spectrometry (IMS)-MS is effective in reducing the complexity of the mass spectrum, this approach is insufficient for analyzing highly multiply charged polymers. In this study, we propose a method combining tandem mass spectrometry (quadrupole and high-resolution time-of-flight MS, QMS/TOFMS), IMS, and collision-induced charge stripping (CICS) for analyzing large intact polymers (∼40 kDa), which are highly multiply charged. The number of charges can be estimated from a Fourier transform power spectrum of a mass spectrum when the charge number is less than approximately 20. Interpretations of the spectra of poly(ethylene oxide)s (PEOs) weighing 20 kDa, poly(methyl methacrylate)s weighing 22 kDa, and methoxy-PEO-maleimide weighing 40 kDa were successfully demonstrated with isotope level and polymerization degree level separations, respectively. In the proposed method, a mixture can be analyzed for relatively small (a few kDa) and large (a few tens of kDa) polymers simultaneously without any sample pretreatment.

Graphical abstract: Electrospray ionization-ion mobility spectrometry–high resolution tandem mass spectrometry with collision-induced charge stripping for the analysis of highly multiply charged intact polymers

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Supplementary files

Article information


Submitted
26 Dec 2018
Accepted
05 Apr 2019
First published
08 Apr 2019

Analyst, 2019,144, 3428-3435
Article type
Paper

Electrospray ionization-ion mobility spectrometry–high resolution tandem mass spectrometry with collision-induced charge stripping for the analysis of highly multiply charged intact polymers

Y. Ozeki, M. Omae, S. Kitagawa and H. Ohtani, Analyst, 2019, 144, 3428
DOI: 10.1039/C8AN02500B

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