Evidence map›Paper›PMID 30960330›Full record

ArticlePolymers2019

Effect of Side Chain Length on Polycarboxylate Superplasticizer in Aqueous Solution: A Computational Study.

Po-Hsiang Chuang, Yu-Hui Tseng, Yunhui Fang, Miaomiao Gui, Xiuxing Ma, Jinjing Luo

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2019. 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
2.3field-weighted citation impact, top 14% 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, 22 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 4 institutions in 1 country.

Po-Hsiang ChuangXiamen Academy of Building Research Group Co., Ltd., Xiamen 361004, China. calcium7@hotmail.com.
Yu-Hui TsengCollege of Chemistry and Environment, Minnan Normal University, Zhangzhou 363000, China. tsenglittleyuyu@gmail.com.
Yunhui FangKZJ New Materials Group Co., Ltd., Xiamen 361101, China. fangyunhui@126.com.
Miaomiao GuiXiamen Academy of Building Research Group Co., Ltd., Xiamen 361004, China. mututu@126.com.
Xiuxing MaXiamen Academy of Building Research Group Co., Ltd., Xiamen 361004, China. mary@xmabr-kzj.com.
Jinjing LuoCollege of the Environment & Ecology, Xiamen University, Xiamen 361102, China. luojj27@xmu.edu.cn.
Xiamen Institute of Building Research Group · CNInstitute of New Materials · CNXiamen University · CNZhangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics simulations were carried out to study the conformations of polycarboxylate ether (PCE) superplasticizers with different side chain lengths in aqueous solution. For four types of PCE molecules-PCE1, PCE2, PCE3, and PCE4-the steric hindrance between the PCE molecules increased with increasing side chain length. The side chain length not only affects water mobility but also affects the distribution of water molecules in the system. Simulation results indicate that water molecules were trapped by the PCE molecules, reducing the diffusion properties. PCE molecules with long side chains have more water molecules probability around the main chain and fewer water molecules probability near the side chain. Microscopic-level knowledge of the interaction between superplasticizer and water molecules facilitates understanding of the performance of superplasticizers in cement systems.

Indexed as

molecular dynamics simulationpolycarboxylate superplasticizerside chain effectsolution conformation

Identifiers

PMID30960330
PMCPMC6419158
OpenAlexW2913674336

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.