Evidence map›Paper›PMID 35676394›Full record

ArticleScientific reports2022

Optimal self-assembly of lipid nanoparticles (LNP) in a ring micromixer.

Manon Ripoll, Elian Martin, Mathilde Enot, Oscar Robbe, Chiara Rapisarda, Marie-Claire Nicolai, Aurélie Deliot, Patrick Tabeling, Jean-René Authelin, Mostafa Nakach and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  11. Post-encapsulation methods for the preparation of mRNA-LNPs.Drug delivery and translational research · 2025
    Article
  12. Article
  13. Microfluidic Device Type Improves Heart mRNA DeliveryLangmuir : the ACS journal of surfaces and colloids · 2025
    Article
  14. Review
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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

11 authors.

Manon RipollBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Elian MartinMicrofluidics, MEMS, Nanostructures Laboratory, CNRS Chimie Biologie Innovation (CBI), UMR 8231, Institut Pierre Gilles de Gennes (IPGG), ESPCI Paris, PSL Research University, 6 rue Jean Calvin, 75005, Paris, France.
Mathilde EnotBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Oscar RobbeBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Chiara RapisardaBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Marie-Claire NicolaiREI Department, SANOFI Pasteur, 1541 Av. Marcel Mérieux, 69280, Marcy-L'Étoile, France.
Aurélie DeliotREI Department, SANOFI Pasteur, 1541 Av. Marcel Mérieux, 69280, Marcy-L'Étoile, France.
Patrick TabelingMicrofluidics, MEMS, Nanostructures Laboratory, CNRS Chimie Biologie Innovation (CBI), UMR 8231, Institut Pierre Gilles de Gennes (IPGG), ESPCI Paris, PSL Research University, 6 rue Jean Calvin, 75005, Paris, France. ptabeling30@gmail.com.
Jean-René AuthelinBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Mostafa NakachBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.
Pierre WilsBioDPD Department, SANOFI, 13 Quai Jules Guesde, 94400, Vitry-sur-Seine, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) for RNA and DNA delivery have attracted considerable attention for their ability to treat a broad range of diseases and to vectorize mRNA for COVID vaccines. LNPs are produced by mixing biomolecules and lipids, which self-assemble to form the desired structure. In this domain, microfluidics shows clear advantages: high mixing quality, low-stress conditions, and fast preparation. Studies of LNPs produced in micromixers have revealed, in certain ranges of flow rates, a degradation in performance in terms of size, monodispersity and encapsulation efficiency. In this study, we focus on the ring micromixer, which is well adapted to high throughput. We reveal three regimes, side-by-side, transitional and highly mixed, that control the mixing performance of the device. Furthermore, using cryo-TEM and biochemical analysis, we show that the mixing performances are strongly correlated to the characteristics of the LNPs we produce. We emphasize the importance of the flow-rate ratio and propose a physical criterion based on the onset of temporal instabilities for producing LNPs with optimal characteristics in terms of geometry, monodispersity and encapsulation yield. These criteria are generally applicable.

Indexed as

COVID-19NanoparticlesHumansLipidsLiposomesRNA, Small InterferingLipid NanoparticlesLipidsLiposomesRNA, Small Interfering

Identifiers

PMID35676394
PMCPMC9177731

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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.