Evidence map›Paper›PMID 35319180›Full record

ArticleACS applied materials & interfaces2022

Shape-Programmable Three-Dimensional Microfluidic Structures.

Zizheng Wang, Hao Jiang, Guangfu Wu, Yi Li, Teng Zhang, Yi Zhang, Xueju Wang

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Soft Robotic Engines with Non-Reciprocal Motion by Physical Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  3. Enabling Soft Molds for Manufacturing Polymeric Surface Structures with Overhangs.Langmuir : the ACS journal of surfaces and colloids · 2025
    Article
  4. Review
  5. Article
  6. Functional PDMS Elastomers: Bulk Composites, Surface Engineering, and Precision Fabrication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  7. Article
  8. Article
  9. Review
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

7 authors at 2 institutions in 1 country.

Zizheng WangDepartment of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Hao JiangDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244, United States.
Guangfu WuDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Yi LiDepartment of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Teng ZhangDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, New York 13244, United States.ORCID https://orcid.org/0000-0001-5001-8485
Yi ZhangDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID https://orcid.org/0000-0002-0907-663X
Xueju WangDepartment of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID https://orcid.org/0000-0002-0669-8759
University of Connecticut · USSyracuse University · US

Funding

Controlling Catheter-Associated Urinary Tract Infections Using Smart Catheters with Rationally Designed Active TopographiesR01EB030621 · NIBIB · SYRACUSE UNIVERSITY · PI REN, DACHENG · 2021 to 2024
$1.5M
NIBIB NIH HHS R01 EB030621
6 · The paper itself

Abstract

Microfluidic devices are gaining extensive interest due to their potential applications in wide-ranging areas, including lab-on-a-chip devices, fluid delivery, and artificial vascular networks. Most current microfluidic devices are in a planar design with fixed configurations once formed, which limits their applications such as in engineered vascular networks in biology and programmable drug delivery systems. Here, shape-programmable three-dimensional (3D) microfluidic structures, which are assembled from a bilayer of channel-embedded polydimethylsiloxane (PDMS) and shape-memory polymers (SMPs) via compressive buckling, are reported. 3D microfluidics in diverse geometries including those in open-mesh configurations are presented. In addition, they can be programmed into temporary shapes and recover their original shape under thermal stimuli due to the shape memory effect of the SMP component, with fluid flow in the microfluidic channels well maintained in both deformed and recovered shapes. Furthermore, the shape-fixing effect of SMPs enables freestanding open-mesh 3D microfluidic structures without the need for a substrate to maintain the 3D shape as used in previous studies. By adding magnetic particles into the PDMS layer, magnetically responsive 3D microfluidic structures are enabled to achieve fast, remote programming of the structures via a portable magnet. A 3D design phase diagram is constructed to show the effects of the magnetic PDMS/SMP thickness ratio and the volume fraction of magnetic particles on the shape programmability of the 3D microfluidic structures. The developed shape-programmable, open-mesh 3D microfluidic structures offer many opportunities for applications including tissue engineering, drug delivery, and many others.

Indexed as

Lab-On-A-Chip DevicesMicrofluidicscompressive bucklingmagnetic actuationshape-memory polymersshape-programmable microfluidicsthree-dimensional microfluidics

Identifiers

PMID35319180
PMCPMC9552124
OpenAlexW4221030752

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.