Dual-Tail Trisiloxane Surfactants Stabilize Supercritical CO2 Nanoemulsions for Geological Carbon Sequestration

Abstract Nanoemulsions offer an approach that balances safety and efficiency in carbon sequestration. The addition of surfactants extends the lifetime of nanoemulsions to ensure stable efficacy. However, previous research on CO2 under atmospheric conditions cannot be applied to practical carbon sequestration due to the special properties of supercritical CO2. Furthermore, the complex and variable experimental environment hinders the summarization of patterns of surfactant interfacial behavior. Herein, we investigate the influencing factors of surfactant interfacial behavior at the molecular scale by combining the charge distribution characteristics of surfactants with the binding state of surrounding molecules. Our results show that T-PA5 exhibits the strongest polymerization inhibition effect, with the longest aggregation time of 156.72 ns, which is 109.98% higher than PA5. The binding state of the PA5 series surfactants (PA5s) undergoes a “parallel-quasi-parallel-cross” transition. This resistance to thermal fluctuations is attributed to the stable cross-bonding structure of T-PA5. The degree of self-folding at the sCO2–H2O interface varies drastically regarding Pro8 series surfactants (Pro8s). The unique self-folding configuration of TQ-Pro8 maintains optimal resistance to pressure fluctuations.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-10-16
DOI
https://doi.org/10.1021/acs.langmuir.6c05302
Primary Topic
Surfactants and Colloidal Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual-Tail Trisiloxane Surfactants Stabilize Supercritical CO2 Nanoemulsions for Geological Carbon Sequestration

Yanghui Li, Shuheng Zhang, Sining Dai, Peng Wu et al.
Langmuir
Surfactants and Colloidal Systems
article

Dual-Tail Trisiloxane Surfactants Stabilize Supercritical CO2 Nanoemulsions for Geological Carbon Sequestration

Yanghui Li, Shuheng Zhang, Sining Dai, Peng Wu, Huangwu Lyu, Zherui Chen
article en

Abstract

Abstract Nanoemulsions offer an approach that balances safety and efficiency in carbon sequestration. The addition of surfactants extends the lifetime of nanoemulsions to ensure stable efficacy. However, previous research on CO2 under atmospheric conditions cannot be applied to practical carbon sequestration due to the special properties of supercritical CO2. Furthermore, the complex and variable experimental environment hinders the summarization of patterns of surfactant interfacial behavior. Herein, we investigate the influencing factors of surfactant interfacial behavior at the molecular scale by combining the charge distribution characteristics of surfactants with the binding state of surrounding molecules. Our results show that T-PA5 exhibits the strongest polymerization inhibition effect, with the longest aggregation time of 156.72 ns, which is 109.98% higher than PA5. The binding state of the PA5 series surfactants (PA5s) undergoes a “parallel-quasi-parallel-cross” transition. This resistance to thermal fluctuations is attributed to the stable cross-bonding structure of T-PA5. The degree of self-folding at the sCO2–H2O interface varies drastically regarding Pro8 series surfactants (Pro8s). The unique self-folding configuration of TQ-Pro8 maintains optimal resistance to pressure fluctuations.

Langmuir
Shenzhen University (CN), Dalian University of Technology (CN), Shenzhen Technology University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 25%
Surfactants and Colloidal Systems
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.