Evidence map›Paper›PMID 41720929›Full record

ArticleScientific reports2026

Separation of large droplets from an oil-in-water emulsion using a deterministic lateral displacement (DLD) microfluidic chip.

Hyeonji Hong, Eunbi Lee, Seonae Hwangbo, Il Doh

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Hyeonji Hong *Medical Metrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea.
Eunbi Lee *Focused Ultra-Sonic Technology Lab (FUST LAB), Daejeon, 34015, Republic of Korea.
Seonae HwangboFocused Ultra-Sonic Technology Lab (FUST LAB), Daejeon, 34015, Republic of Korea.
Il DohMedical Metrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea. il.doh@kriss.re.kr.

Funding

Fostering Program for the R&D Industry Promotion Complex 2710019690National Research Council of Science & Technology CRC22023-000National Research Council of Science & Technology(NST) GTL24022-000
6 · The paper itself

Abstract

Long-term stability of oil-in-water (O/W) emulsions is often compromised by the presence of larger droplets, which act as seeds for coalescence and phase separation. Conventional separation methods like filtration and centrifugation face challenges such as high energy consumption and filter clogging. In this study, we present a deterministic lateral displacement (DLD) microfluidic chip for the continuous and passive separation of larger oil droplets to enhance emulsion homogeneity and stability. A PDMS-based DLD chip, featuring a micropillar array with a pillar diameter of 20 μm and a gap of 5 μm, was designed to achieve a theoretical critical separation diameter (Dc) of approximately 1.7 μm. The separation mechanism was validated using a numerical estimation and experiments with fluorescent polystyrene beads. We successfully demonstrated that the DLD chip effectively removes larger droplets from ultrasonically prepared nanoemulsions, reducing the median particle diameter (D50) from 1.103 μm to 0.768 μm without using any surfactants. The results confirm that the DLD-based post-processing is a promising method for improving the quality of O/W emulsions, although challenges related to the fabrication of high-aspect-ratio structures and the pressure tolerance of PDMS need to be overcome for high-throughput applications.

Indexed as

Deterministic lateral displacement (DLD)Droplet microfluidicsDroplet separationMicrofluidicsOil-in-water emulsion

Identifiers

PMID41720929
PMCPMC13022173

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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.