Evidence map›Paper›PMID 41693847›Full record

ArticleACS polymers Au2026

Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.

Cesar Ramirez, Eman Ahmed, Elena Di Mare, Maria Pineiro-Goncalves, Apostolos Maroulis, Prajakatta Mulay, D Christopher Radford, Adam J Gormley

Abstract read
In one paragraph

Article in ACS polymers Au, 2026. 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

8 authors.

Cesar RamirezDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Eman AhmedDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Elena Di MareDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Maria Pineiro-GoncalvesDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.ORCID https://orcid.org/0009-0003-4621-7184
Apostolos MaroulisDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Prajakatta MulayDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
D Christopher RadfordDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Adam J GormleyDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.ORCID https://orcid.org/0000-0002-2884-725X

Funding

Tuning multivalency for optimized ligand presentationR35GM138296 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI GORMLEY, ADAM JOSEPH · 2020 to 2024
$2.3M
Biologic Encapsulation by Tuning their Organic Solubility with Amphiphilic PolymersR21EB035260 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI GORMLEY, ADAM JOSEPH · 2024 to 2024
$389k
NIBIB NIH HHS R21 EB035260NIGMS NIH HHS R35 GM138296
6 · The paper itself

Abstract

Oxygen-tolerant reversible-deactivation radical polymerizations (RDRP) now allow many of these reactions to proceed in open labware, such as well plates. This enables the high-throughput synthesis of tailored polymers and lowers the knowledge barrier required to obtain these materials. Building on our previous work automating photoinduced electron/energy transfer reversible addition-fragmentation chain transfer (PET-RAFT) and enzyme-assisted RAFT (Enz-RAFT) polymerization, we now introduce automated atom transfer radical polymerization (ATRP). Here, we demonstrate the potential of this platform for the high-throughput optimization of ATRP chemistry. Furthermore, we demonstrate that this workflow can help provide insights into the selection of reaction components, such as ligands and initiators, for the polymerization of kinetically difficult monomers such as methyl methacrylate with smaller rates of propagation than acrylates. This coupling paves the way for data-driven optimization of ATRP reactions, accelerated by the generation of high-throughput data sets. To facilitate the integration of robotics for high-throughput applications in polymer synthesis and optimization of photo-ATRP, we have made a Python package available to assist with experimental planning. The tool accepts Excel sheets with user-defined molar ratios, target monomer concentrations, and reagent stock concentrations and outputs an Excel sheet with actionable recipes that can be readily implemented in liquid handling transfer steps via manual or automated pipetting.

Indexed as

atom transfer radical polymerizationcombinatorialhigh-throughputmachine learningrobotics

Identifiers

PMID41693847
PMCPMC12903423

What OpenQuestion holds

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LicenceCC BY
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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.