Evidence map›Paper›PMID 42039784›Full record

ArticleChemical science2026

A robotic approach to polymerisation kinetics: a case study on copolymerisation parameter estimation.

Lachlan Alexander, Vianna F Jafari, Tanja Junkers

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lachlan AlexanderPolymer Reaction Design Group, School of Chemistry, Monash University 17 Rainforest Walk Clayton VIC 3800 Australia tanja.junkers@monash.edu.
Vianna F JafariPolymer Reaction Design Group, School of Chemistry, Monash University 17 Rainforest Walk Clayton VIC 3800 Australia tanja.junkers@monash.edu.ORCID https://orcid.org/0000-0003-1308-1754
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

Automation and high-throughput (HTP) experimentation are transforming chemistry, yet the high cost of robotic platforms limits accessibility. Pipetting robots such as the Opentrons OT-2 provide a cost-effective, open-source alternative, but their application to radical polymerisation in high throughput formats has been restricted by challenges such as deoxygenation at microlitre scale. Here, we establish a robust workflow for thermal radical polymerisation in a 48-well reactor using the OT-2, supported by custom 3D-printed components for automated NMR sample preparation. This system enables rapid and reproducible data generation while eliminating human bias from experimentation. We demonstrate its utility through the study of copolymerisation kinetics, where inconsistent methods, reporting, and model selection have created significant data gaps for predictive modelling. By combining robotic HTP experimentation with IUPAC-recommended evaluation methodology, we provide standardised datasets for predicting reactivity ratios of six monomer pairs: BMA-BA (

Identifiers

PMID42039784
PMCPMC13103962

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.