Evidence map›Paper›PMID 39196937›Full record

ArticleScience advances2024

Millimeter-scale soft capsules for sampling liquids in fluid-filled confined spaces.

Xiaoguang Dong, Boyang Xiao, Hieu Vu, Honglu Lin, Metin Sitti

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Xiaoguang DongDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-9150-4014
Boyang XiaoDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0009-0000-0555-4254
Hieu VuDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0009-0001-5887-6932
Honglu LinDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0009-0005-4881-3558
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

Wirelessly Actuated Ciliary Stent for Minimally Invasive Treatment of Cilia DysfunctionR21EB035200 · NIBIB · VANDERBILT UNIVERSITY · PI Xiaoguang Dong · 2024 to 2026
$617k
NIBIB NIH HHS R21 EB035200
6 · The paper itself

Abstract

Sampling liquids in small and confined spaces to retrieve chemicals and microbiomes could enable minimally invasive monitoring human physiological conditions for understanding disease development and allowing early screening. However, existing tools are either invasive or too large for sampling liquids in tortuous and narrow spaces. Here we report a fundamental liquid sampling mechanism that enables millimeter-scale soft capsules for sampling liquids in confined spaces. The miniature capsule is enabled by flexible magnetic valves and superabsorbent polymer, fully wirelessly controlled for on-demand fluid sampling. A group of miniature capsules could navigate in fluid-filled and confined spaces safely using a rolling locomotion. The integration of on-demand triggering, sampling, and sealing mechanism and the agile group locomotion allows us to demonstrate precise control of the soft capsules, navigating and sampling body fluids in a phantom and animal organ ex vivo, guided by ultrasound and x-ray medical imaging. The proposed mechanism and wirelessly controlled devices spur the next-generation technologies for minimally invasive disease diagnosis.

Indexed as

Body FluidsCapsulesAnimalsDrug Delivery SystemsHumansMagneticsMicePhantoms, ImagingPolymersWireless TechnologyCapsulesPolymers

Identifiers

PMID39196937
PMCPMC11352903

What OpenQuestion holds

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LicenceCC BY
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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.