Evidence map›Paper›PMID 40284356›Full record

ArticlePolymers2025

Effect of Block Polyether as an Interfacial Dispersant on the Properties of Nanosilica/Natural Rubber Composites.

Ying Liu, Jiahui Mei, Depeng Gong, Yanjun Chen, Chaocan Zhang

Abstract read
In one paragraph

Article in Polymers, 2025. 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

5 authors.

Ying LiuSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Jiahui MeiSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Depeng GongSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Yanjun ChenSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.
Chaocan ZhangSchool of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0003-1349-6458

Funding

Hubei Huaning Anti-corrosion Technology Co. WHUT:20221h0390the Fundamental Research Funds for the Central Universities WHUT:2021III002
6 · The paper itself

Abstract

To enhance the dispersion of silica within a natural rubber (NR) matrix and improve the modification efficiency of the silane coupling agent, a novel interfacial dispersant composed of block polyether with a PEO-PPO-PEO structure is employed in this study. This block polyether, consisting of poly(ethylene oxide) (PEO) and poly(propylene oxide) (PPO), serves to reduce the surface energy of silica and improve its compatibility with the rubber matrix. Three types of block polyethers with different hydrophilic-lipophilic balance (HLB) values of 8, 13, and 22 are selected to regulate the surface tension of silica. Subsequently, bis[γ-(triethoxysilyl)propyl] tetrasulfide (TESPT) is used to further modify the silica surface, aiming to prepare high-performance rubber composites. The results indicate that the HLB value of the block polyether has a significant influence on the system. Compared with block polyethers having HLB values of 8 and 22, the block polyether with an HLB value of 13 demonstrated superior silica dispersion, leading to enhanced filler-rubber interfacial interactions. Consequently, both the mechanical properties and processability of the NR composites were substantially improved. When the dosage of this block polyether was 1 phr, the composite exhibited a tensile strength of 28.9 MPa and an elongation at break of 523%.

Indexed as

block polyethersdispersionnatural rubbersilicasurface modification

Identifiers

PMID40284356
PMCPMC12030535

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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.