Analysis of polymer characteristics using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Authors
Kang, M.-J.Seong, Y.Kim, M.-J.Kim, M.S.Pyun, J.-C.
Issue Date
2017-06
Publisher
Korean Society of Industrial Engineering Chemistry
Citation
Applied Chemistry for Engineering, v.28, no.3, pp.263 - 271
Abstract
The application of mass spectrometry to polymer science has rapidly increased since the development of MALDI-TOF MS. This review summarizes current polymer analysis methods using MALDI-TOF MS, which has been extensively applied to analyze the average molecular weight of biopolymers and synthetic polymers. Polymer sequences have also been analyzed to reveal the structures and composition of monomers. In addition, the analysis of unknown end-groups and the determination of polymer concentrations are very important applications. Hyphenated techniques using MALDI-tandem MS have been used for the analysis of fragmentation patterns and end-groups, and also the combination of SEC and MALDI-TOF MS techniques is recommended for the analysis of complex polymers. Moreover, MALDI-TOF MS has been utilized for the observation of polymer degradation. Ion mobility MS, TOF-SIMS, and MALDI-TOF-imaging are also emerging technologies for polymer characterization because of their ability to automatically fractionate and localize polymer samples. The determination of polymer characteristics and their relation to the material properties is one of the most important demands for polymer scientists; the development of software and instrument for higher molecular mass range (> 100 kD) will increase the applications of MALDI-TOF MS for polymer scientists. ? 2017 The Korean Society of Industrial and Engineering Chemistry. All rights reserved.
Keywords
Chemical structure; Composition of monomers; Concentration of end groups; Determination of molecular weight; MALDI-TOF MS; Polymer characteristics
ISSN
1225-0112
URI
https://pubs.kist.re.kr/handle/201004/122714
DOI
10.14478/ace.2017.1019
Appears in Collections:
KIST Article > 2017
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