Issue 10, 2019

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

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

Supplementary files

Article information

Article type
Paper
Submitted
26 Dec 2018
Accepted
05 Apr 2019
First published
08 Apr 2019

Analyst, 2019,144, 3428-3435

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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