Evidence map›Paper›PMID 33796158›Full record

ArticlePolymer chemistry2020

Optimization of Ring-Opening Metathesis Polymerization (ROMP) under Physiologically Relevant Conditions.

Derek C Church, Lauren Takiguchi, Jonathan K Pokorski

Open access · greenAbstract read
In one paragraph

Article in Polymer chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 39 citations in OpenAlex.

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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 at 1 institution in 1 country.

Derek C ChurchDepartment of NanoEngineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA.
Lauren TakiguchiDepartment of NanoEngineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA.
Jonathan K PokorskiDepartment of NanoEngineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA.
University of California San Diego · US

Funding

Protein/Polymer Devices for Slow-Release of Immunotherapies to Treat Ovarian CancerR21EB024874 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POKORSKI, JONATHAN KYLE, STEINMETZ, NICOLE FRANZISKA · 2017 to 2018
$431k
NIBIB NIH HHS R21 EB024874
6 · The paper itself

Abstract

Ring opening metathesis polymerization (ROMP) is widely considered an excellent living polymerization technique that proceeds rapidly under ambient conditions and is highly functional group tolerant when performed in organic solvents. However, achieving the same level of success in aqueous media has proved to be challenging, often requiring an organic co-solvent or a very low pH to obtain fast initiation and high monomer conversion. The ability to efficiently conduct ROMP under neutral pH aqueous conditions would mark an important step towards utilizing aqueous ROMP with acid-sensitive functional groups or within a biological setting. Herein we describe our efforts to optimize ROMP in an aqueous environment under neutral pH conditions. Specifically, we found that the presence of excess chloride in solution as well as relatively small changes in pH near physiological conditions have a profound effect on molecular weight control, polymerization rate and overall monomer conversion. Additionally, we have applied our optimized conditions to polymerize a broad scope of water-soluble monomers and used this methodology to produce nanostructures via ring opening metathesis polymerization induced self-assembly (ROMPISA) under neutral pH aqueous conditions.

Identifiers

PMID33796158
PMCPMC8009303
OpenAlexW3036363536

What OpenQuestion holds

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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.