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Journal of the American Society for Mass Spectrometry, 2023-02, Vol.34 (2), p.293-303
2023
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Autor(en) / Beteiligte
Titel
MALINTO: A New MALDI Interpretation Tool for Enhanced Peak Assignment and Semiquantitative Studies of Complex Synthetic Polymers
Ist Teil von
  • Journal of the American Society for Mass Spectrometry, 2023-02, Vol.34 (2), p.293-303
Ort / Verlag
United States: American Chemical Society
Erscheinungsjahr
2023
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The newly developed MALDI interpretation tool (“MALINTO”) allows for the accelerated characterization of complex synthetic polymers via MALDI mass spectrometry. While existing software provides solutions for simple polymers like poly­(ethylene glycol), polystyrene, etc., they are limited in their application on polycondensates synthesized from two different kinds of monomers (e.g., diacid and diol in polyesters). In addition to such A2 + B2 polycondensates, MALINTO covers branched and even multicyclic polymer systems. Since the MALINTO software works based on input data of monomers/repeating units, end groups, and adducts, it can be applied on polymers whose components are previously known or elucidated. Using these input data, a list with theoretically possible polymer compositions and resulting m/z values is calculated, which is further compared to experimental mass spectrometry data. For optional semiquantitative studies, peak areas are allocated according to their assigned polymer composition to evaluate both comonomer and terminating group ratios. Several tools are implemented to avoid mistakes, for example, during peak assignment. In the present publication, the functions of MALINTO are described in detail and its broad applicability on different linear polymers as well as branched and multicyclic polycondensates is demonstrated. Fellow researchers will benefit from the accelerated peak assignment using the freely available MALINTO software and might be encouraged to explore the potential of MALDI mass spectrometry for (semi)­quantitative applications.
Sprache
Englisch
Identifikatoren
ISSN: 1044-0305
eISSN: 1879-1123
DOI: 10.1021/jasms.2c00311
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9896554
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