Issue 22, 2023

A focus on how latent “codons” are unravelled in synthetic copolymers

Abstract

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.

Graphical abstract: A focus on how latent “codons” are unravelled in synthetic copolymers

Article information

Article type
Commentary
First published
23 may 2023
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2023,14, 5825-5826

A focus on how latent “codons” are unravelled in synthetic copolymers

C. Barner-Kowollik and B. T. Tuten, Chem. Sci., 2023, 14, 5825 DOI: 10.1039/D3SC90087H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements