Evidence map›Paper›PMID 39431220›Full record

ArticleAdvanced functional materials2024

Programmed Internal Reconfigurations in a 3D-Printed Mechanical Metamaterial Enable Fluidic Control for a Vertically Stacked Valve Array.

Tinku Supakar, David Space, Sophy Meija, Rou Yu Tan, Jeffrey R Alston, Eric A Josephs

Abstract read
In one paragraph

Article in Advanced functional materials, 2024. 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. 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

6 authors.

Tinku SupakarDepartment of Nanoscience, Joint School of Nanoscience and Nanoengineering, University of North Carolina at Greensboro, Greensboro, NC, USA 27401.
David SpaceDepartment of Nanoscience, Joint School of Nanoscience and Nanoengineering, University of North Carolina at Greensboro, Greensboro, NC, USA 27401.
Sophy MeijaDepartment of Biology, College of Arts and Sciences, University of North Carolina at Greensboro, Greensboro, NC, USA 27412.
Rou Yu TanThe Early College at Guilford, Greensboro, NC, USA 27410.
Jeffrey R AlstonDepartment of Nanoengineering, Joint School of Nanoscience and Nanoengineering, North Carolina Agricultural and Technical State University, Greensboro, NC, USA 27401.
Eric A JosephsDepartment of Nanoscience, Joint School of Nanoscience and Nanoengineering, University of North Carolina at Greensboro, Greensboro, NC, USA 27401; Department of Biology, College of Arts and Sciences, University of North Carolina at Greensboro, Greensboro, NC, USA 27412.

Funding

Complex Mechanisms of Mutation and Mutation Avoidance in Living CellsR35GM133483 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI JOSEPHS, ERIC ALAN · 2019 to 2023
$1.6M
NIGMS NIH HHS R35 GM133483
6 · The paper itself

Abstract

Microfluidic valves play a key role within microfluidic systems by regulating fluid flow through distinct microchannels, enabling many advanced applications in medical diagnostics, lab-on-chips, and laboratory automation. While microfluidic systems are often limited to planar structures, 3D printing enables new capabilities to generate complex designs for fluidic circuits with higher densities and integrated components. However, the control of fluids within 3D structures presents several difficulties, making it challenging to scale effectively and many fluidic devices are still often restricted to quasi-planar structures. Incorporating mechanical metamaterials that exhibit spatially adjustable mechanical properties into microfluidic systems provides an opportunity to address these challenges. Here, we have performed systematic computational and experimental characterization of a modified re-entrant honeycomb structure to generate a modular metamaterial for an active device that allows us to directly regulate flow through integrated, multiplexed fluidic channels "one-at-a-time," in a manner that is highly scalable. We present a design algorithm so that this architecture can be extended to arbitrary geometries, and we expect that by incorporation of mechanical metamaterial designs into 3D printed fluidic systems, which themselves are readily expandable to any complex geometries, will enable new biotechnological and biomedical applications of 3D printed devices.

Indexed as

auxeticsmechanical metamaterialmicrofluidic valvesre-entrant honeycomb

Identifiers

PMID39431220
PMCPMC11486493

What OpenQuestion holds

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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.