ArticleAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany)2020
Automation of Controlled/Living Radical Polymerization.
Article in Advanced intelligent systems (Weinheim an der Bergstrasse, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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.
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Who cites it
29 citing papers in PubMed.
- A robotic approach to polymerisation kinetics: a case study on copolymerisation parameter estimation.Chemical science · 2026Article
- Challenges and Opportunities in Machine Learning for Light-Emitting Polymers.Macromolecular rapid communications · 2026Review
- A user's guide to your first self-driving liquid handling lab.Digital discovery · 2026Article
- Automated active learning to optimize hydrogel drug release profiles.Journal of controlled release : official journal of the Controlled Release Society · 2026Article
- Gene Delivery Mediated by Backbone-Degradable RAFT Copolymers.Biomacromolecules · 2026Article
- Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.ACS polymers Au · 2026Article
- Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- SAXS Assistant: Automated SAXS analysis for structural discovery in biologics and polymeric nanoparticles.Biophysical journal · 2025Article
- Red Light-Driven, Oxygen-Tolerant RAFT Polymerization Enabled by Methylene Blue.Journal of the American Chemical Society · 2025Article
- Mapping Biomaterial Complexity by Machine Learning.Tissue engineering. Part A · 2024Review
- Data-Driven Design of Novel Polymer Excipients for Pharmaceutical Amorphous Solid Dispersions.Bioconjugate chemistry · 2024Article
- High-Throughput Synthesis, Purification, and Application of Alkyne-Functionalized Discrete Oligomers.Journal of the American Chemical Society · 2024Article
- Red-Light-Driven Atom Transfer Radical Polymerization for High-Throughput Polymer Synthesis in Open Air.Journal of the American Chemical Society · 2023Article
- Applied machine learning as a driver for polymeric biomaterials design.Nature communications · 2023Review
- Emerging Trends in Machine Learning: A Polymer Perspective.ACS polymers Au · 2023Review
- A User's Guide to Machine Learning for Polymeric Biomaterials.ACS polymers Au · 2023Review
- Examining polymer-protein biophysical interactions with small-angle x-ray scattering and quartz crystal microbalance with dissipation.Journal of biomedical materials research. Part A · 2023Article
- Fully Oxygen-Tolerant Visible-Light-Induced ATRP of Acrylates in Water: Toward Synthesis of Protein-Polymer Hybrids.Macromolecules · 2023Article
- A fully automated platform for photoinitiated RAFT polymerization.Digital discovery · 2023Article
- Open-air green-light-driven ATRP enabled by dual photoredox/copper catalysis.Chemical science · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Controlled/living radical polymerization (CLRP) techniques are widely utilized to synthesize advanced and controlled synthetic polymers for chemical and biological applications. While automation has long stood as a high-throughput (HTP) research tool to increase productivity as well as synthetic/analytical reliability and precision, oxygen intolerance of CLRP has limited the widespread adoption of these systems. Recently, however, oxygen-tolerant CLRP techniques, such as oxygen-tolerant photoinduced electron/energy transfer-reversible addition-fragmentation chain transfer (PET-RAFT), enzyme degassing of RAFT (Enz-RAFT), and atom-transfer radical polymerization (ATRP), have emerged. Herein, the use of a Hamilton MLSTARlet liquid handling robot for automating CLRP reactions is demonstrated. Synthesis processes are developed using Python and used to automate reagent handling, dispensing sequences, and synthesis steps required to create homopolymers, random heteropolymers, and block copolymers in 96-well plates, as well as postpolymerization modifications. Using this approach, the synergy between highly customizable liquid handling robotics and oxygen-tolerant CLRP to automate advanced polymer synthesis for HTP and combinatorial polymer research is demonstrated.
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Registered trials
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.