Sustained, Reversible, and Adaptive Non‐Equilibrium Steady States of a Dissipative DNA‐Based System

Inspired by nature, researchers have developed several chemical fuel-driven supramolecular systems aimed at achieving improved kinetic control over their formation and functions. Alongside, DNA-based systems regulated by energy-dissipating mechanisms have been reported. However, the majority of these systems rely on batchwise additions of chemical fuels to closed reactors, resulting in transient non-equilibrium states that differ fundamentally from the sustained and highly adaptable non-equilibrium steady states (NESS) maintained by living systems through continuous energy dissipation. Here, we demonstrate sustained NESS of a dissipative DNA strand-displacement reaction achieved through the continuous supply of an RNA fuel to an open semi-batch reactor, using a custom automated setup that enables tunable fuel infusion rates and in situ analysis. Similar to biological NESS, our system dynamically adapts in real-time to subtle variations in fuel supply, achieving different steady-state levels of the strand-displacement reaction. Our approach demonstrates remarkable on-the-fly control over a dissipative DNA nanosystem, unachievable when working under batch conditions. Importantly, by fitting the experimental data to a kinetic model of the reaction network, we were able to confirm that the observed steady states correspond to true non-equilibrium compositions of the system.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-08-29
DOI
https://doi.org/10.1002/anie.202512967
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81

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article

Sustained, Reversible, and Adaptive Non‐Equilibrium Steady States of a Dissipative DNA‐Based System

James D. Nicholas, Francesco Ricci, Andrew J. deMello, Erica Del Grosso et al.
1 citations
Angewandte Chemie International Edition
Advanced biosensing and bioanalysis techniques
0.81
article

Sustained, Reversible, and Adaptive Non‐Equilibrium Steady States of a Dissipative DNA‐Based System

James D. Nicholas, Francesco Ricci, Andrew J. deMello, Erica Del Grosso, Josep Puigmartí‐Luis, Alessandro Sorrenti
article en
1 citations

Abstract

Inspired by nature, researchers have developed several chemical fuel-driven supramolecular systems aimed at achieving improved kinetic control over their formation and functions. Alongside, DNA-based systems regulated by energy-dissipating mechanisms have been reported. However, the majority of these systems rely on batchwise additions of chemical fuels to closed reactors, resulting in transient non-equilibrium states that differ fundamentally from the sustained and highly adaptable non-equilibrium steady states (NESS) maintained by living systems through continuous energy dissipation. Here, we demonstrate sustained NESS of a dissipative DNA strand-displacement reaction achieved through the continuous supply of an RNA fuel to an open semi-batch reactor, using a custom automated setup that enables tunable fuel infusion rates and in situ analysis. Similar to biological NESS, our system dynamically adapts in real-time to subtle variations in fuel supply, achieving different steady-state levels of the strand-displacement reaction. Our approach demonstrates remarkable on-the-fly control over a dissipative DNA nanosystem, unachievable when working under batch conditions. Importantly, by fitting the experimental data to a kinetic model of the reaction network, we were able to confirm that the observed steady states correspond to true non-equilibrium compositions of the system.

Angewandte Chemie International EditionVol. 64(43)
University of Rome Tor Vergata (IT), Institució Catalana de Recerca i Estudis Avançats (ES), ETH Zurich (CH), Zero to Three (US), Instituto de Química Orgánica General (ES), Universitat de Barcelona (ES)
National Science Foundation, Ministerio de Ciencia, Innovación y Universidades, European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Generalitat de Catalunya, Agencia Estatal de Investigación
Openalex Percentile: Top 24%
Advanced biosensing and bioanalysis techniques
0.81
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