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Phase behavior and critical activated dynamics of limited-valence DNA nanostars

Open access
Biffi, Silvia, Cerbino, Roberto, Bomboi, Francesca, Paraboschi, Elvezia Maria, Asselta, Rosanna, Sciortino, Francesco, Bellini, Tommaso·2013·Proceedings of the National Academy of Sciences

Abstract

Significance: At atomic and molecular levels, particles interact via the immutable laws of quantum mechanics, whereas at nanoscopic and microscopic levels, interactions between colloidal particles can be determined by human design. We exploit DNA self-assembly to produce nanoscopic particles with a controlled number of interacting terminations, providing the particles with valence. Experimental investigation of the collective behavior of such colloids shows that reducing the number of interacting sites results in a significant shrinkage of the gas–liquid coexistence region, with critical parameters decreasing as the valence is reduced. We also observe an unconventional dynamic behavior in the proximity of the critical point. Such findings are relevant to answer fundamental physics issues and potentially to determine the stability region of new DNA-based materials.

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Metadata

Authors
Biffi, S., Cerbino, R., Bomboi, F., Paraboschi, E. M., Asselta, R., Sciortino, F., & Bellini, T.
Venue
Proceedings of the National Academy of Sciences
Published
2013-09-09
Volume
110
Issue
39
Pages
15633-15637
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1980903147
Cited by
233
References
0
FWCI
4.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Phase behavior and critical activated dynamics of limited-valence DNA nanostars. https://app.cochat.ai/papers/10.1073/pnas.1304632110
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Biffi, S., Cerbino, R., Bomboi, F., Paraboschi, E. M., Asselta, R., Sciortino, F., & Bellini, T. (2013). Phase behavior and critical activated dynamics of limited-valence DNA nanostars. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1304632110

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.