Evidence map›Paper›PMID 39078642›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2024

Formation of Self-Healing Granular Eutectogels through Jammed Carbopol Microgels in Supercooled Deep Eutectic Solvent.

Karthi Keyan Arjunan, Chun-Yun Weng, Yu-Jane Sheng, Heng-Kwong Tsao

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Mechanisms of COThe journal of physical chemistry. B · 2025
    Article
  6. Review
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

4 authors.

Karthi Keyan ArjunanDepartment of Chemical and Materials Engineering, National Central University, Taoyuan 32001, Taiwan.
Chun-Yun WengDepartment of Chemical and Materials Engineering, National Central University, Taoyuan 32001, Taiwan.
Yu-Jane ShengDepartment of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-3031-8920
Heng-Kwong TsaoDepartment of Chemical and Materials Engineering, National Central University, Taoyuan 32001, Taiwan.ORCID 0000-0001-6415-8657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Typically, gel-like materials consist of a polymer network structure in a solvent. In this work, a gel-like material is developed in a deep eutectic solvent (DES) without the presence of a polymer network, achieved simply by adding microgels. The DES is composed of choline chloride and citric acid and remains stably in a supercooled state at room temperature, exhibiting Newtonian fluid behavior with high viscosity. When the microgel (Carbopol) concentration exceeds 2 wt %, the DES undergoes a transition from a liquid to a soft gel state, characterized as a granular eutectogel. The soft gel characteristics of eutectogels exhibit a yield stress, and their storage moduli exceed the loss moduli. The yield stress and storage moduli are observed to increase with increasing microgel concentration. In contrast, the ion conductivity decreases with increasing microgel concentration but eventually levels off. Because the eutectogel can dissolve completely in excess water, it is a physical gel-like material, attributed to the densely packed structure of microgels in the supercooled DES. Due to the absence of networks, the granular eutectogel has the capability to self-heal simply by being pushed together after being cut into two pieces.

Identifiers

PMID39078642
PMCPMC11325637

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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.