ArticleJournal of mass spectrometry : JMS2026
Quantitative Analysis of Polymers by MALDI-TOF Mass Spectrometry: Correlation Between Signal Intensity and Arm Number.
Article in Journal of mass spectrometry : JMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- KMD-Enhanced MALDI-ToF MS for Polymer Biodegradation Analysis.Journal of the American Society for Mass Spectrometry · 2026Article
- Quantitative Analysis of Polymers by MALDI-TOF Mass Spectrometry: Correlation Between Signal Intensity and Arm Number.Journal of mass spectrometry : JMS · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The signal intensities of linear and star-shaped poly(L-lactides) (PLA) and poly (ethylene oxides) (PEO) were compared to determine the influence of the number of arms on the ionization in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. In this study, a variety of blends were prepared and investigated, including binary and ternary combinations of linear and star-shaped polymers with similar molecular masses. The focus was on examining their intensity ratios. In equimolar binary PLA blends, polymer stars were observed to exhibit higher intensities than their linear counterparts. This result was supported by experiments with equimolar ternary PLA blends, which clearly demonstrated an intensity dependence on the number of polymer arms. It was observed that four-arm PLA exhibited higher intensities than three-arm PLA. A similar trend was observed in investigations involving acetylated polymer end groups, suggesting that differences in ionization are primarily influenced by polymer architecture rather than end groups. In order to validate this assumption, the binding energies for [polymer-K]
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Registered trials
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