Evidence map›Paper›PMID 40293450›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2025

DNA Nanostructure Deposition on Self-Assembled Monolayers.

Anumita Kumari, Jason Smith, Jonathan Cho, Haitao Liu

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Interactions of the DNA Nanostructure with Silane-Based Self-Assembled Monolayers.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anumita KumariDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Jason SmithDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Jonathan ChoDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Haitao LiuDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.ORCID 0000-0003-3628-5688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the deposition of DNA nanostructures on self-assembled monolayers (SAMs), focusing on the stability of DNA nanostructures on both hydrophilic and hydrophobic SAMs. Our study reveals distinct outcomes based on the nature of the SAMs. DNA nanostructures maintain structural integrity on hydrophilic SAMs, whereas they experience deformation on the most hydrophobic SAMs. Interestingly, the stability of DNA nanostructures is also sensitive to postdeposition washing procedures. The observations shed light on the intricate interplay between the wettability of SAMs and the structural stability of the DNA nanostructures. An empirical trend emerged where increased hydrophobicity is associated with a more severe deformation of DNA nanostructures. This deformation is hypothesized to arise from disrupted hydrogen bonding within DNA nanostructures and is exacerbated by interfacial tension during the drying process. Our study also highlights the potential role of π-π stacking interactions between the DNA bases and the SAMs in stabilizing the DNA nanostructures. Our work expands the type of substrates that can be used for applications of DNA nanotechnology and highlights the need for a comprehensive understanding of the interactions between DNA nanostructures with different surfaces.

Indexed as

DNANanostructuresHydrophobic and Hydrophilic InteractionsSurface PropertiesDNA

Identifiers

PMID40293450
PMCPMC12080317

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.