Evidence map›Paper›PMID 42676675›Full record

ArticleChem & bio engineering2026

Kinetically Controlled Assembly of Janus-Structured Nanobubble-Lipid Nanoparticles via Ultrasonic Micromixing.

Zhikai Liu, Yufeng Zhang, Daixin Chen, Mei Yang, Liming Wang, Hanqiu Jiang, Shubo Du, Jiaqi Lin, Guangwen Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chem & bio engineering, 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

9 authors.

Zhikai LiuDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Yufeng ZhangMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian 116024, China.
Daixin ChenDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Mei YangDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.ORCID https://orcid.org/0000-0002-9828-4755
Liming WangInstitute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.ORCID https://orcid.org/0000-0003-1382-9195
Hanqiu JiangInstitute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Shubo DuMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-7913-986X
Jiaqi LinMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-7015-8992
Guangwen ChenDalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.ORCID https://orcid.org/0000-0001-5290-7921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling the internal architecture and morphology of lipid nanoparticles (LNPs) beyond their size remains a central challenge in nanoparticle engineering. Conventional micromixer-based assembly methods provide rapid mixing but lack the temporal resolution to manipulate the multiple competing kinetic processes that occur during LNP self-assembly. Here, we demonstrate kinetically controlled fabrication of Janus-structured surface nanobubble-lipid nanoparticles (SNB-LNPs) using an ultrasonic micromixer that enables independent tuning of three critical time scales: mixing time (

Indexed as

Janus nanoparticleskinetic controllipid nanoparticlesself-assemblysurface nanobubblesultrasonic micromixer

Identifiers

PMID42676675
PMCPMC13527673

What OpenQuestion holds

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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.