Evidence map›Paper›PMID 42396639›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

3D-Printed Milli-Fluidic Mixing-Extrusion Platform for Continuous, High-Throughput LNP Production.

Leekang Jeon, Seeun Kim, Hanjin Seo, Hyun Su Lee, Gi-Su Na, Gi-Ra Yi, Hyomin Lee

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. 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.

Leekang JeonDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Seeun KimDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Hanjin SeoDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Hyun Su LeeDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Gi-Su NaDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Gi-Ra YiDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.ORCID 0000-0003-1353-8988
Hyomin LeeDepartment of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.ORCID 0000-0002-0968-431X

Funding

Dx&Vx Inc.Korea ARPA-H project through the Korea Health Industry Development Institute, Ministry of Health and Welfare RS-2024-00507436Korea Health Industry Development Institute (KHIDI), Ministry of Health & Welfare, Republic of Korea RS-2025-02214418National Research Foundation of Korea, Korean government (MSIT) RS-2023-00260454
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) have emerged as a prominent delivery vehicle for therapeutics such as mRNA vaccines and genetic medicines. However, current manufacturing technologies struggle to balance precision, scalability, and cost-effectiveness. While microfluidic mixing offers excellent particle control, it often faces operational challenges, including channel fouling and a reliance on costly single-use chips that create bottlenecks for reproducible and scalable production of LNPs. Conversely, bulk methods lack uniformity, and conventional extrusion remains a labor-intensive batch process. Here, we report a hybrid continuous synthesis platform that integrates a reusable 3D-printed milli-fluidic mixer with inline membrane extrusion. By engineering a robust 3D internal architecture at the milli-scale, this system achieves rapid mixing while mitigating clogging risks associated with micro-channels. Our platform also offers a durable, easy-to-clean alternative that enhances process reproducibility while the integrated design enables single-pass refinement of LNPs, streamlining the production workflow to achieve high-quality, uniform LNPs at flow rates of up to 20 mL min

Indexed as

LipidsMicrofluidicsNanoparticlesPrinting, Three-DimensionalLiposomesLipid NanoparticlesLipidsLiposomes3D‐printingextrusionhigh‐throughputlipid nanoparticlesmixing

Identifiers

PMID42396639
PMCPMC13509044

What OpenQuestion holds

Textmetadata
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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.