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A focus on how latent “codons” are unravelled in synthetic copolymers
We contextualize and highlight an innovative methodology for copolymer analysis introduced by Hibi et al. in Chemical Science (Y. Hibi, S. Uesaka and M. Naito, Chem. Sci., 2023, https://doi.org/10.1039/D2SC06974A). The authors introduce an advanced mass spectrometric method driven by a learning algo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246676/ https://www.ncbi.nlm.nih.gov/pubmed/37293633 http://dx.doi.org/10.1039/d3sc90087h |
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author | Barner-Kowollik, Christopher Tuten, Bryan T. |
author_facet | Barner-Kowollik, Christopher Tuten, Bryan T. |
author_sort | Barner-Kowollik, Christopher |
collection | PubMed |
description | We contextualize and highlight an innovative methodology for copolymer analysis introduced by Hibi et al. in Chemical Science (Y. Hibi, S. Uesaka and M. Naito, Chem. Sci., 2023, https://doi.org/10.1039/D2SC06974A). The authors introduce an advanced mass spectrometric method driven by a learning algorithm, termed ‘reference-free quantitative mass spectrometry’ (RQMS) for decoding sequences of copolymers in real time, including as a function of reaction progress. We highlight potential future implications and applications of the RQMS technique, as well as look forward to where else RQMS could be utilized within the soft matter materials space. |
format | Online Article Text |
id | pubmed-10246676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-102466762023-06-08 A focus on how latent “codons” are unravelled in synthetic copolymers Barner-Kowollik, Christopher Tuten, Bryan T. Chem Sci Chemistry We contextualize and highlight an innovative methodology for copolymer analysis introduced by Hibi et al. in Chemical Science (Y. Hibi, S. Uesaka and M. Naito, Chem. Sci., 2023, https://doi.org/10.1039/D2SC06974A). The authors introduce an advanced mass spectrometric method driven by a learning algorithm, termed ‘reference-free quantitative mass spectrometry’ (RQMS) for decoding sequences of copolymers in real time, including as a function of reaction progress. We highlight potential future implications and applications of the RQMS technique, as well as look forward to where else RQMS could be utilized within the soft matter materials space. The Royal Society of Chemistry 2023-05-23 /pmc/articles/PMC10246676/ /pubmed/37293633 http://dx.doi.org/10.1039/d3sc90087h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Barner-Kowollik, Christopher Tuten, Bryan T. A focus on how latent “codons” are unravelled in synthetic copolymers |
title | A focus on how latent “codons” are unravelled in synthetic copolymers |
title_full | A focus on how latent “codons” are unravelled in synthetic copolymers |
title_fullStr | A focus on how latent “codons” are unravelled in synthetic copolymers |
title_full_unstemmed | A focus on how latent “codons” are unravelled in synthetic copolymers |
title_short | A focus on how latent “codons” are unravelled in synthetic copolymers |
title_sort | focus on how latent “codons” are unravelled in synthetic copolymers |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246676/ https://www.ncbi.nlm.nih.gov/pubmed/37293633 http://dx.doi.org/10.1039/d3sc90087h |
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