Evidence map›Paper›PMID 40610609›Full record

ArticleScientific reports2025

Oil-in-water segmented flow in the optimized microfluidic system for surfactant-free ultrasonic emulsification.

Hyeonji Hong, Eunbi Lee, Seonae Hwangbo, Il Doh

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Hyeonji HongMedical Metrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea.
Eunbi LeeFocused Ultra-Sonic Tech. Lab. (FUST Lab) Co., Ltd., 11-3, Techno 1-ro, Yuseong-gu, Daejeon, 34015, Republic of Korea.
Seonae HwangboFocused Ultra-Sonic Tech. Lab. (FUST Lab) Co., Ltd., 11-3, Techno 1-ro, Yuseong-gu, 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

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

Abstract

Droplet-based microfluidics is a promising technique for generating stable emulsions in various applications, including pharmaceuticals, food, cosmetics, and biosensors. However, conventional methods rely on surfactants, which pose potential toxicity and environmental concerns. To address this issue, we developed a microfluidic device for surfactant-free oil droplet generation, serving as a pre-processing stage for ultrasonic emulsification. Three microfluidic channels were designed: a conventional T-junction, a needle-inserted channel, and a needle-inserted glass capillary channel. Oil-water flow segmentation characteristics of the fabricated devices were analyzed using high-speed camera and image processing techniques. Results demonstrated that the needle-inserted glass capillary exhibited superior stability, effectively generating oil droplets rather than slugs by utilizing a higher water affinity and minimizing oil contact with the channel walls. Furthermore, when integrated with ultrasonic emulsification, the pre-fragmented oil droplets exhibited improved processing efficiency. These findings highlight the potential of combining microfluidic pre-processing with ultrasound emulsification as a viable alternative to surfactant-based methods, offering enhanced precision and sustainability in droplet generation and emulsion formation.

Indexed as

3D-printed chipEmulsificationMicrofluidicsOil-water segmented flowUltrasound

Identifiers

PMID40610609
PMCPMC12229544

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.