Evidence map›Paper›PMID 36661835›Full record

ArticleGels (Basel, Switzerland)2023

Synthesis and Characteristics of a pH-Sensitive Sol-Gel Transition Colloid for Coal Fire Extinguishing.

Yiru Wang, Qinglin Zheng, Hetao Su, Zijun Huang, Gengyu Wang

Open access · goldAbstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Preparation of COGels (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Yiru WangSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Qinglin ZhengSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.
Hetao SuSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.ORCID 0000-0003-4081-4255
Zijun HuangSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Gengyu WangSchool of Engineering and Technology, China University of Geosciences, Beijing 100083, China.
Ministry of Natural Resources · CNBeihang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coal fires, most of which are triggered by the spontaneous combustion of coal, cause a huge waste of resources and release poisonous and harmful substances into the environment, seriously threatening the safety of industrial production. Gel flame retardant plays a core role in coal fire prevention and extinguishing. Most gel flame retardants used in coal fires possess good sealing and oxygen isolation properties, but it is difficult for them to flow deep into fire areas due to their low fluidity. Some fire extinguishing agents with good fluidity lack leak-blocking performance. In order to simultaneously improve the fluidity, leakage sealing, and oxygen isolation effects of coal fire extinguishing colloids, a novel, pH-sensitive, sol-gel transition colloid was prepared using low methoxyl pectin (LMP), calcium bentonite (Ca-Bt), sodium bentonite (Na-Bt), and water as the main components. When the initial sol-state colloid absorbed acid gas products from coal combustion, the pH value decreased and a large amount of Ca

Indexed as

coal fire extinguishingfluidityoxygen isolationpH-sensitivesol-gel transition

Identifiers

PMID36661835
PMCPMC9858249
OpenAlexW4316468354

What OpenQuestion holds

Textmetadata
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.