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• W2989014920 abstract "Copolymer analysis is vitally important as the materials have a wide variety of applications due to their tunable properties. Processing mass spectrometry data for copolymer samples can be very complex due to the increase in the number of species when the polymer chains are formed by two or more monomeric units. In this paper, we describe the use of the genetic algorithm for automated peak assignment of copolymers synthesised by a variety of polymerisation methods. We find that in using this method we are able to easily assign copolymer spectra in a few minutes and visualise them into heat maps. These heat maps allow us to look qualitatively at the distribution of the chains, by showing how they alter with different polymerisation techniques, and by changing the initial copolymer composition. This methodology is simple to use and requires little user input, which makes it well suited for use by less expert users. The data outputted by the automatic assignment may also allow for more complex data processing in the future." @default.
• W2989014920 created "2019-11-22" @default.
• W2989014920 creator A5041056867 @default.
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• W2989014920 date "2020-02-12" @default.
• W2989014920 modified "2023-09-26" @default.
• W2989014920 title "Automatic peak assignment and visualisation of copolymer mass spectrometry data using the ‘genetic algorithm’" @default.
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• W2989014920 doi "https://doi.org/10.1002/rcm.8654" @default.
• W2989014920 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7507196" @default.
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