Adsorption of Polycarboxylate Ether Superplasticizer Incorporating Various Functional Groups on the Kaolin (001) Surface: Theoretical Study and Experimental Testing

As an impurity compound in concrete, kaolin could adsorb much polycarboxylate ether (PCE) superplasticizer, depressing the efficiency of PCE significantly. The mechanisms underlying the absorption of carboxylic acid (PCE-C), sulfonic acid (PCE-S), and phosphoric acid (PCE-P) groups on the kaolin (001) surface were investigated by adsorption capacity test and density functional theory (DFT). Adsorption experiments show that the adsorption capacity of PCE-P on kaolin is significantly higher than that of PCE-S, while PCE-C shows the least adsorption on kaolin. Based on DFT calculations, the interaction between PCE-P and the kaolin (001) surface is the strongest, mainly due to the formation of a strong chemical bond, along with hydrogen bonding and electrostatic interactions. However, no stable chemical bonds form between the kaolin (001) surface and either PCE-S or PCE-C. Additionally, the adsorption energy suggests that PCE-S has a higher adsorption capacity on the kaolin (001) surface than PCE-C. Studies have shown that kaolin exhibits a strong adsorption capacity for the phosphoric acid. This adsorption significantly reduces the dispersing ability of the superplasticizer, thereby impairing its effectiveness in reducing water demand and improving workability in concrete. This study aims to provide a theoretical basis for choosing PCEs and improving their efficiency when producing concrete made with kaolin-involved aggregates.

Authors

Institutions

Publication Details

Journal
MetaResource
Published
2024-12-01
DOI
https://doi.org/10.23919/metar.2024.000006
Citations
1
Primary Topic
Adsorption, diffusion, and thermodynamic properties of materials
Type
article
Field-Weighted Citation Impact
0.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adsorption of Polycarboxylate Ether Superplasticizer Incorporating Various Functional Groups on the Kaolin (001) Surface: Theoretical Study and Experimental Testing

Kao Chen, Yao Feng, Yumei Nong, Chaofan Yi et al.
1 citations
MetaResource
Adsorption, diffusion, and thermodynamic properties of materials
0.24
article

Adsorption of Polycarboxylate Ether Superplasticizer Incorporating Various Functional Groups on the Kaolin (001) Surface: Theoretical Study and Experimental Testing

Kao Chen, Yao Feng, Yumei Nong, Chaofan Yi, Zheng Chen, Jianhua Chen, Ye Chen
article en
1 citations

Abstract

As an impurity compound in concrete, kaolin could adsorb much polycarboxylate ether (PCE) superplasticizer, depressing the efficiency of PCE significantly. The mechanisms underlying the absorption of carboxylic acid (PCE-C), sulfonic acid (PCE-S), and phosphoric acid (PCE-P) groups on the kaolin (001) surface were investigated by adsorption capacity test and density functional theory (DFT). Adsorption experiments show that the adsorption capacity of PCE-P on kaolin is significantly higher than that of PCE-S, while PCE-C shows the least adsorption on kaolin. Based on DFT calculations, the interaction between PCE-P and the kaolin (001) surface is the strongest, mainly due to the formation of a strong chemical bond, along with hydrogen bonding and electrostatic interactions. However, no stable chemical bonds form between the kaolin (001) surface and either PCE-S or PCE-C. Additionally, the adsorption energy suggests that PCE-S has a higher adsorption capacity on the kaolin (001) surface than PCE-C. Studies have shown that kaolin exhibits a strong adsorption capacity for the phosphoric acid. This adsorption significantly reduces the dispersing ability of the superplasticizer, thereby impairing its effectiveness in reducing water demand and improving workability in concrete. This study aims to provide a theoretical basis for choosing PCEs and improving their efficiency when producing concrete made with kaolin-involved aggregates.

MetaResourceVol. 1(1)
Guangxi University (CN)
Openalex Percentile: Top 46%
Adsorption, diffusion, and thermodynamic properties of materials
0.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.