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Updated: Jul 15, 2026

MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

Published on: October 3, 2025

KMD-Enhanced MALDI-ToF MS for Polymer Biodegradation Analysis.

Sophia Y van Mourik^1,2, Heather J Walker², Anthony J Ryan¹

¹Dainton Building, The University of Sheffield, Sheffield S3 7HF, U.K.

Journal of the American Society for Mass Spectrometry

|July 14, 2026

Summary

This study introduces a new mass spectrometry workflow for analyzing polymer biodegradation. It uses

Keywords:

Biodegradation Kendrick Mass Defect Analysis MALDI-ToF MS Oligomer Characterization Polymer Degradation Mechanisms

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MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

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Characterization of Synthetic Polymers via Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) Mass Spectrometry

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Published on: June 10, 2018

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery

Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery

Published on: April 17, 2012

Area of Science:

Environmental Science
Analytical Chemistry
Polymer Science

Background:

Characterizing polymer biodegradation products is challenging due to complex sample matrices.
Existing analytical methods often struggle with distinguishing polymer fragments from microbial metabolites in noisy spectra.

Purpose of the Study:

To present a novel, tailored mass spectrometry (MS) workflow for analyzing polymer biodegradation products.
To integrate 'omics' principles for comprehensive characterization of complex mixtures.
To provide a reproducible platform for advancing polymer biodegradation research.

Main Methods:

Developed a workflow combining polymer analysis and metabolomics methodologies.
Applied Kendrick Mass Defect (KMD) theory for enhanced spectral visualization and identification.
Utilized accessible, open-source software and custom R scripts for data processing and analysis.

Main Results:

The workflow effectively addresses the challenges of complex mixture characterization in polymer biodegradation.
Kendrick Mass Defect (KMD) theory aids in identifying biodegradation products and metabolites in heterogeneous samples.
The combined use of software tools and R scripts ensures reproducible MS data analysis.

Conclusions:

The presented MS workflow offers a comprehensive and reproducible approach to polymer biodegradation analysis.
This methodology facilitates the identification of biodegradation products and metabolites.
The workflow serves as a valuable platform for future research in polymer degradation studies.