A Matthew MXene (Ti3C2T ) Lamellar Membrane as a Potassium-Sieving Amplifier

Transport channels with ultrahigh K+ selectivity over other ions play a crucial role for living beings, but constructing ionic channels with promising K+ selectivity and permeability remains a challenge. Here, an asymmetric bilayer membrane based on MXene (Ti3C2Tx) lamellar channels consisting of a recognition layer (RL) on top of an enhancement layer (EL) exhibits an amazing Matthew effect: amplification of the preferred transport of K+, resulting in an excellent K+-separation performance. The K+ ion is selected by the 1-aza-18-crown-6 ether-modified RL, owing to preferential affinity energy, and then rapidly transported as a hydrated ion through the EL, based on the confinement effect. Other undesired ions such as Na+ are hindered from entering the RL by the preferred K+ occupation of the crown ether. The MXene (Ti3C2Tx)-based Matthew membrane presents high K+-permeation rates of 0.1–0.2 mol∙m–2∙h–1, with a significant K+/Na+ selectivity of 5–9. The molecular separation mechanism of the Matthew membrane is investigated deeply to explore the nature of the Matthew amplification effect on K+ sieving, where the precise matching of the RL and EL within the membrane governs the fast K+ permeation with good selectivity. The asymmetric structure of our Matthew membrane is the key to understanding the biological function of ion channels for precise and fast ion transport, which will guide us in the creation of artificial ion channels or membranes.

Authors

Institutions

Publication Details

Journal
Engineering
Published
2024-08-12
DOI
https://doi.org/10.1016/j.eng.2023.11.025
Citations
8
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

A Matthew MXene (Ti3C2T ) Lamellar Membrane as a Potassium-Sieving Amplifier

Lu Zong, Yanying Wei, Haihui Wang, Haoyu Wu
8 citations
Engineering
MXene and MAX Phase Materials
0.94
article

A Matthew MXene (Ti3C2T ) Lamellar Membrane as a Potassium-Sieving Amplifier

Lu Zong, Yanying Wei, Haihui Wang, Haoyu Wu
article en
8 citations

Abstract

Transport channels with ultrahigh K+ selectivity over other ions play a crucial role for living beings, but constructing ionic channels with promising K+ selectivity and permeability remains a challenge. Here, an asymmetric bilayer membrane based on MXene (Ti3C2Tx) lamellar channels consisting of a recognition layer (RL) on top of an enhancement layer (EL) exhibits an amazing Matthew effect: amplification of the preferred transport of K+, resulting in an excellent K+-separation performance. The K+ ion is selected by the 1-aza-18-crown-6 ether-modified RL, owing to preferential affinity energy, and then rapidly transported as a hydrated ion through the EL, based on the confinement effect. Other undesired ions such as Na+ are hindered from entering the RL by the preferred K+ occupation of the crown ether. The MXene (Ti3C2Tx)-based Matthew membrane presents high K+-permeation rates of 0.1–0.2 mol∙m–2∙h–1, with a significant K+/Na+ selectivity of 5–9. The molecular separation mechanism of the Matthew membrane is investigated deeply to explore the nature of the Matthew amplification effect on K+ sieving, where the precise matching of the RL and EL within the membrane governs the fast K+ permeation with good selectivity. The asymmetric structure of our Matthew membrane is the key to understanding the biological function of ion channels for precise and fast ion transport, which will guide us in the creation of artificial ion channels or membranes.

EngineeringVol. 42
South China University of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, South China University of Technology, State Key Laboratory of Pulp and Paper Engineering, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 23%
MXene and MAX Phase Materials
0.94
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.