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Advanced Polymer Characterization: Modular Operations for Spectral Alignment by Iterative Compression (MOSAIC)

Title: Advanced Polymer Characterization: Modular Operations for Spectral Alignment by Iterative Compression (MOSAIC)
Authors: Hanlin M. Wang; Benjamin A. Suslick; David J. Lundberg; Jacob J. Lessard; Zhenchuang Xu; Mary A. Choy; Jeremiah A. Johnson; Jeffrey S. Moore
Publication Year: 2025
Collection: The University of Auckland: Figshare
Subject Terms: Biochemistry; Genetics; Marine Biology; Virology; Space Science; Chemical Sciences not elsewhere classified; visually apparent clusters; systematic analytical approach; general cipher algorithm; five copolymers formed; enabling intuitive assignment; derived mass contributions; assisted laser desorption; advanced polymer characterization; applies modular arithmetic; nonconstitutional repeating units; mass spectral features; introduce modular operations; cluster maldi peaks; modular operations; spectral alignment; base units; yet decrypting; spectra requires; revealing end; iterative compression; group distributions; filter monomer; copolymer ensembles; comonomer incorporation
Description: Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry encodes structural information across diverse homo- and copolymer ensembles, yet decrypting these spectra requires a systematic analytical approach. We introduce Modular Operations for Spectral Alignment by Iterative Compression (MOSAIC)a general cipher algorithm that applies modular arithmetic to filter monomer-derived mass contributions and cluster MALDI peaks by nonconstitutional repeating units (non-CRUs). MOSAIC performs sequential modular operations using monomer mass differences as base units to compress complex spectral data, revealing end-group distributions and comonomer incorporation. As a demonstration, we applied MOSAIC to five copolymers formed by two different polymerization mechanisms. The resulting remainder–mass plots clearly resolve polymer homologs with distinct non-CRUs into visually apparent clusters, enabling intuitive assignment of mass spectral features.
Document Type: article in journal/newspaper
Language: unknown
Relation: https://figshare.com/articles/journal_contribution/Advanced_Polymer_Characterization_Modular_Operations_for_Spectral_Alignment_by_Iterative_Compression_MOSAIC_/29598698
DOI: 10.1021/acsmacrolett.5c00385.s001
Availability: https://doi.org/10.1021/acsmacrolett.5c00385.s001; https://figshare.com/articles/journal_contribution/Advanced_Polymer_Characterization_Modular_Operations_for_Spectral_Alignment_by_Iterative_Compression_MOSAIC_/29598698
Rights: CC BY-NC 4.0
Accession Number: edsbas.E3EEA60D
Database: BASE