ArticleRapid communications in mass spectrometry : RCM2020
Automatic peak assignment and visualisation of copolymer mass spectrometry data using the 'genetic algorithm'.
Article in Rapid communications in mass spectrometry : RCM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- MALDI-TOF Mass Spectrometric Characterization of Polyacrylamide Multiblock Copolymers Reveals Structure-Property Relationships.ACS omega · 2026Article
- Rapid Copolymer Analysis of Unresolved Mass Spectra by Artificial Intelligence.Analytical chemistry · 2025Article
- Automated Feature Mining for Two-Dimensional Liquid Chromatography Applied to Polymers Enabled by Mass Remainder Analysis.Analytical chemistry · 2022Article
- Automatic peak assignment and visualisation of copolymer mass spectrometry data using the 'genetic algorithm'.Rapid communications in mass spectrometry : RCM · 2020Article
- Rapidly self-deoxygenating controlled radical polymerization in waterChemical science · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.