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Characterization of styrene/methyl methacrylate/n‐butyl acrylate terpolymer with Kendrick mass defect analysis in electrospray ionization‐ion mobility spectrometry‐mass spectrometry.

Authors :
Ozeki, Yuka
Kitagawa, Shinya
Ohtani, Hajime
Kondo, Yosuke
Shinada, Hiroko
Source :
Rapid Communications in Mass Spectrometry: RCM. 3/15/2023, Vol. 37 Issue 5, p1-11. 11p.
Publication Year :
2023

Abstract

Rationale: Synthesis of copolymer is one of the major approaches to establish sophisticated polymers. In copolymer analysis in mass spectrometry (MS), an increase in the number of monomer unit species and/or the polymer molecular weight results in complex mass spectra, and a method is required to solve this problem. Methods: In this study, electrospray ionization‐ion mobility spectrometry‐mass spectrometry was employed to analyze styrene/methyl methacrylate/n‐butyl acrylate (St/MMA/nBA) terpolymers via Kendrick mass defect (KMD) analysis. An expanded Fourier transform‐based noise reduction method for the copolymer was developed to improve the decrease in the signal/noise ratio observed in the higher m/z region. Results: Low‐mass terpolymers (0.7 kDa) were identified by comparing the observed and theoretical results using a two‐dimensional KMD plot. For the 1.5 kDa terpolymer, the signal overlap, of which KMD value was not matched with the theoretical one, was interpreted by the shift from the theoretical value in the KMD plot. For the 3.0 kDa terpolymers, the compositional candidates were determined by the prediction based on the compositional information of low‐mass terpolymers previously analyzed. The 4.5 kDa terpolymer was interpreted after the expanded noise filtering. Conclusions: The terpolymers, whose molecular weight was up to 4.5 kDa, were successfully characterized at a molecular level. The dependency of the St/MMA/nBA composition on molecular weight was observed; that is, the nBA content decreased with an increase in the molecular weight. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09514198
Volume :
37
Issue :
5
Database :
Academic Search Index
Journal :
Rapid Communications in Mass Spectrometry: RCM
Publication Type :
Academic Journal
Accession number :
161723950
Full Text :
https://doi.org/10.1002/rcm.9455