Evidence map›Paper›PMID 41000128›Full record

ArticleChemical science2025

Synthesis of biodegradable vinyl copolymers

Mengyuan Wen, WeiNian Wong, Tanja Junkers

Abstract read
In one paragraph

Article in Chemical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mengyuan WenPolymer Reaction Design Group, School of Chemistry, Monash University 17 Rainforest Walk Clayton VIC 3800 Australia tanja.junkers@monash.edu.
WeiNian WongPolymer Reaction Design Group, School of Chemistry, Monash University 17 Rainforest Walk Clayton VIC 3800 Australia tanja.junkers@monash.edu.
Tanja JunkersPolymer Reaction Design Group, School of Chemistry, Monash University 17 Rainforest Walk Clayton VIC 3800 Australia tanja.junkers@monash.edu.ORCID https://orcid.org/0000-0002-6825-5777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method based on continuous Bayesian optimization of monomer feed in a semi-batch copolymerization is demonstrated that allows countering the composition drift in copolymerizations stemming from disparate reactivity ratios. The method requires online monitoring of the reaction, but requires no prior kinetic knowledge on the copolymerization or any modelling of the polymerizations, making this the first method generally applicable to any copolymerization system to achieve this aim. Copolymerizations between acrylates, methacrylates and styrene are demonstrated to achieve perfectly statistical and homogeneous distributions, and the radical ring opening copolymerisation between a cyclic ketene acetal and methyl methacrylate is showcased as an example of a challenging copolymerization where countering the composition drift results in a completely degradable material, paving a pathway to new sustainable polymers in the future. Next to perfect regulation of the sequence distribution in these copolymers, we also demonstrate how the method can be applied to create non-natural composition drifts in polymers at will.

Identifiers

PMID41000128
PMCPMC12459380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.