Evidence map›Paper›PMID 39989775›Full record

ArticleACS omega2025

Enabling the Ultraenrichment of Colloidal Particles via Continuous Droplet Manipulation.

Tianyi Lu, Miaoran Liu, Yifei Xiao, Yimeng Xu, Yu Wang, Ziyi Dai, Kai Qian

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tianyi LuState Key Lab of Environmental Adaptability for Industrial Products, Guangzhou 510275, China.
Miaoran LiuState Key Lab of Environmental Adaptability for Industrial Products, Guangzhou 510275, China.
Yifei XiaoSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Yimeng XuSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Yu WangSchool of Integrated Circuits, Shandong University, Jinan 250100, China.
Ziyi DaiSchool of Integrated Circuits, Shandong University, Jinan 250100, China.ORCID https://orcid.org/0000-0002-2749-2872
Kai QianSchool of Integrated Circuits, Shandong University, Jinan 250100, China.ORCID https://orcid.org/0000-0002-4049-4426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concentration and uniform deposition of particles during droplet evaporation remain significant challenges in analytical systems. This natural and appropriate design of the processing steps can effectively bridge the gap between the low-concentration test substance and the accuracy of the test tool and therefore has attracted widespread academic and industrial attention. However, conventional static evaporation faces two major challenges: limited concentration efficiency and nonuniform particle deposition due to the coffee-ring effect. Here, we introduce a "dynamic enrichment" method based on a magnetically actuated droplet manipulation platform, which fundamentally alters the traditional static concentration process. This approach enables both superior enrichment and uniform particle distribution on superhydrophobic surfaces through controlled droplet movement. We systematically investigated the enrichment behavior using model particles of varying densities and sizes under different experimental conditions, including droplet volume and initial concentration. The method demonstrates consistent performance across these diverse particle properties, achieving a higher concentration efficiency and more uniform deposition compared to static enrichment. Through characterization and mechanistic statements, we show that this platform could potentially serve as a foundation for developing sensitive analytical techniques, particularly considering that the working range of particle properties aligns well with those of common biological and chemical analytes.

Identifiers

PMID39989775
PMCPMC11840580

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.