Evidence map›Paper›PMID 35890583›Full record

ReviewPolymers2022

Mini-Review of Self-Healing Mechanism and Formulation Optimization of Polyurea Coating.

Junzhi Luo, Tao Wang, Celine Sim, Yuanzhe Li

Abstract readReview
In one paragraph

Review in Polymers, 2022. 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
–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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. The Latest Advances in Mechanically Robust Self-Healing Polyurea Based on Dynamic Chemistry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Review
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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

4 authors.

Junzhi LuoSchool of Materials Science & Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Tao WangSchool of Telecommunications, Zhejiang College, Tongji University, Shanghai 200092, China.
Celine SimSchool of Materials Science & Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Yuanzhe LiSchool of Materials Science & Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-7530-8286

Funding

Ministry of Education Grant Call (Call 1/2018) _MSE (EP Code EP5P, Project ID 122018-T1-001-077)
6 · The paper itself

Abstract

Self-healing polymers are categorized as smart materials that are capable of surface protection and prevention of structural failure. Polyurethane/polyurea, as one of the representative coatings, has also attracted attention for industrial applications. Compared with polyurethane, polyurea coating, with a similar formation process, provides higher tensile strength and requires shorter curing time. In this paper, extrinsic and intrinsic mechanisms are reviewed to address the efficiency of the self-healing process. Moreover, formulation optimization and strategic improvement to ensure self-healing within a shorter period of time with acceptable recovery of mechanical strength are also discussed. The choice and ratio of diisocyanates, as well as the choice of chain extender, are believed to have a crucial effect on the acceleration of the self-healing process and enhance self-healing efficiency during the preparation of polyurea coatings.

Indexed as

formulation optimizationpolyurea coatingself-healingself-healing mechanism

Identifiers

PMID35890583
PMCPMC9316374

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.