Evidence map›Paper›PMID 37497047›Full record

ArticlePNAS nexus2023

Engineering confined fluids to autonomously assemble hierarchical 3D structures.

Oleg E Shklyaev, Abhrajit Laskar, Anna C Balazs

Abstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Chemical composition from photos: Dried solution drops reveal a morphogenetic tree.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

3 authors.

Oleg E ShklyaevDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O'Hara Street Benedum Hall of Engineering, Pittsburgh, PA 15261, USA.ORCID https://orcid.org/0000-0002-9242-9255
Abhrajit LaskarDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O'Hara Street Benedum Hall of Engineering, Pittsburgh, PA 15261, USA.
Anna C BalazsDepartment of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O'Hara Street Benedum Hall of Engineering, Pittsburgh, PA 15261, USA.ORCID https://orcid.org/0000-0002-5555-2692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inherent coupling of chemical and mechanical behavior in fluid-filled microchambers enables the fluid to autonomously perform work, which in turn can direct the self-organization of objects immersed in the solution. Using theory and simulations, we show that the combination of diffusioosmotic and buoyancy mechanisms produce independently controlled, respective fluid flows: one generated by confining surfaces and the other in the bulk of the solution. With both flows present, the fluid can autonomously join 2D, disconnected pieces to a chemically active, "sticky" base and then fold the resulting layer into regular 3D shapes (e.g. pyramids, tetrahedrons, and cubes). Here, the fluid itself performs the work of construction and thus, this process does not require extensive external machinery. If several sticky bases are localized on the bottom surface, the process can be parallelized, with the fluid simultaneously forming multiple structures of the same or different geometries. Hence, this approach can facilitate the relatively low-cost, mass production of 3D micron to millimeter-sized structures. Formed in an aqueous solution, the assembled structures could be compatible with biological environments, and thus, potentially useful in medical and biochemical applications.

Identifiers

PMID37497047
PMCPMC10367439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.