Entropy-driven phase behavior of all-DNA associative polymers

Associative polymers (APs) with reversible, specific interactions between "sticker" sites exhibit a phase behavior that depends on a delicate balance between distinct contributions controlling the binding. For highly bonded systems, it is entropy that mostly determines whether, upon increasing concentration, the network forms progressively or via a first-order transition. With the aim of introducing an experimentally viable system tailored to test the subtle dependence of the phase behavior on binding site topology, we numerically investigate APs made of DNA, where "sticker" sites formed by short DNA sequences are interspersed in a flexible backbone of poly-T spacers. Due to their self-complementarity, each binding sequence can associate with another identical sticky sequence. We compare two architectures: one with a single sticker type, (AA)6, and the other with two distinct alternating types, (AB)6. At low temperatures, when most of the stickers are involved in a bond, the (AA)6 system remains homogeneous, while the (AB)6 system exhibits phase separation, driven primarily by entropic factors, mirroring predictions from simpler bead-spring models. Analysis of bond distributions and polymer conformations confirms that the predominantly entropic driving force behind this separation arises from the different topological constraints associated with intra- vs inter-molecular bonding. Our results establish DNA APs as a controllable and realistic platform for studying in the laboratory how the thermodynamics of associative polymer networks depend on the bonding site architecture in a clean and controlled manner.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2025-09-02
DOI
https://doi.org/10.1063/5.0279969
Primary Topic
Material Dynamics and Properties
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Entropy-driven phase behavior of all-DNA associative polymers

Federico Marini, Lorenzo Rovigatti, Francesco Sciortino, F. Guerra
The Journal of Chemical Physics
Material Dynamics and Properties
article

Entropy-driven phase behavior of all-DNA associative polymers

Federico Marini, Lorenzo Rovigatti, Francesco Sciortino, F. Guerra
article en

Abstract

Associative polymers (APs) with reversible, specific interactions between "sticker" sites exhibit a phase behavior that depends on a delicate balance between distinct contributions controlling the binding. For highly bonded systems, it is entropy that mostly determines whether, upon increasing concentration, the network forms progressively or via a first-order transition. With the aim of introducing an experimentally viable system tailored to test the subtle dependence of the phase behavior on binding site topology, we numerically investigate APs made of DNA, where "sticker" sites formed by short DNA sequences are interspersed in a flexible backbone of poly-T spacers. Due to their self-complementarity, each binding sequence can associate with another identical sticky sequence. We compare two architectures: one with a single sticker type, (AA)6, and the other with two distinct alternating types, (AB)6. At low temperatures, when most of the stickers are involved in a bond, the (AA)6 system remains homogeneous, while the (AB)6 system exhibits phase separation, driven primarily by entropic factors, mirroring predictions from simpler bead-spring models. Analysis of bond distributions and polymer conformations confirms that the predominantly entropic driving force behind this separation arises from the different topological constraints associated with intra- vs inter-molecular bonding. Our results establish DNA APs as a controllable and realistic platform for studying in the laboratory how the thermodynamics of associative polymer networks depend on the bonding site architecture in a clean and controlled manner.

The Journal of Chemical PhysicsVol. 163(9)
Sapienza University of Rome (IT)
Ministero dell'Università e della Ricerca
Openalex Percentile: Top 83%
Material Dynamics and Properties
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.