Catalysis‐driven Active Transport Across a Liquid Membrane

Biology has mastered energy transduction, converting energy between various forms, and employing it to drive its vital processes. Central to this is the ability to use chemical energy for the active transport of substances, pumping ions and molecules across hydrophobic lipid membranes between aqueous (sub)cellular compartments. Biology employs information ratchet mechanisms, where kinetic asymmetry in the fuel-to-waste (i. e., substrate-to-product) conversion results in catalysis-driven active transport. Here, we report an artificial system for catalysis-driven active transport across a hydrophobic phase, pumping a maleic acid cargo between aqueous compartments. We employ two strategies to differentiate the conditions in either compartment, showing that active transport can be driven either by adding fuel to a single compartment, or by differentiating the rates of activation and/or hydrolysis when fuel is present in both compartments. We characterize the nonequilibrium system through complete kinetic analysis. Finally, we quantify the energy transduction achieved by the catalysis-driven active transport and establish the emergence of positive and negative feedback mechanisms within the system.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-02-07
DOI
https://doi.org/10.1002/anie.202421234
Citations
7
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
4.99

Funders

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

Catalysis‐driven Active Transport Across a Liquid Membrane

Giulio Ragazzon, Federico Nicoli, Stefan Borsley, Simone Di Noja et al.
7 citations
Angewandte Chemie International Edition
Extraction and Separation Processes
4.99
article

Catalysis‐driven Active Transport Across a Liquid Membrane

Giulio Ragazzon, Federico Nicoli, Stefan Borsley, Simone Di Noja, Emanuele Penocchio, Claudia Bonfio, Kaiyuan Liang, Shaymaa Al Shehimy, Yuhan Li
article en
7 citations

Abstract

Biology has mastered energy transduction, converting energy between various forms, and employing it to drive its vital processes. Central to this is the ability to use chemical energy for the active transport of substances, pumping ions and molecules across hydrophobic lipid membranes between aqueous (sub)cellular compartments. Biology employs information ratchet mechanisms, where kinetic asymmetry in the fuel-to-waste (i. e., substrate-to-product) conversion results in catalysis-driven active transport. Here, we report an artificial system for catalysis-driven active transport across a hydrophobic phase, pumping a maleic acid cargo between aqueous compartments. We employ two strategies to differentiate the conditions in either compartment, showing that active transport can be driven either by adding fuel to a single compartment, or by differentiating the rates of activation and/or hydrolysis when fuel is present in both compartments. We characterize the nonequilibrium system through complete kinetic analysis. Finally, we quantify the energy transduction achieved by the catalysis-driven active transport and establish the emergence of positive and negative feedback mechanisms within the system.

Angewandte Chemie International EditionVol. 64(15)
Northwestern University (US), Durham University (GB), University of Cambridge (GB), Institut de Science et d'Ingénierie Supramoléculaires (FR), Bridge University (SS), Université de Strasbourg (FR)
Agence Nationale de la Recherche, Université de Strasbourg, China Scholarship Council
Affordable and clean energy
Openalex Percentile: Top 5%
Extraction and Separation Processes
4.99
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.