Evidence map›Paper›PMID 42396395›Full record

ArticleJournal of biomolecular techniques : JBT2026

A Rapid Method for Accurately Determining Lipid Nanoparticle Size Using Nano-Flow Cytometry.

Brittany Rein, Christiano Marconi, Daniil Shabashvilli, Paul Chipman, Mary Gragg, Elias Sayour, Anderson Silva, Mariza Miranda, Steven Madore

Abstract read
In one paragraph

Article in Journal of biomolecular techniques : JBT, 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.

Brittany ReinICBR University of Florida.
Christiano MarconiDepartment of Neurosurgery University of Florida.
Daniil ShabashvilliICBR University of Florida.
Paul ChipmanICBR University of Florida.
Mary GraggICBR University of Florida.
Elias SayourDepartment of Neurosurgery University of Florida.
Anderson SilvaICBR University of Florida.
Mariza MirandaICBR University of Florida.ORCID https://orcid.org/0000-0003-1540-8829
Steven MadoreICBR University of Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are small particles composed of lipids that can be used to encapsulate and deliver therapeutic substances like mRNA or other drugs to specific cells or tissues. LNPs are specifically designed to protect the payload from degradation, enhance payload stability, and improve delivery to target cells and tissues. When developing LNPs for nucleic acid-based therapeutics, there are two characteristics that are often analyzed to determine the quality of the formulations: size distribution and loading efficiency. Various techniques are used to determine the size of nanoparticles, with each providing different details and having specific advantages and limitations. In this study, we evaluated the use of nanoparticle tracking analysis, dynamic light scattering, and two different nano cytometers to determine LNP size. We compared the results obtained from these four methods to the particle size determined using cryogenic transmission electron microscopy. Our findings showed that nano-flow cytometry instrumentation, like NanoFCM and CytoFLEX nano, offers a robust and accurate method for sizing LNPs with measurements in high concordance to those obtained by conventional cryogenic transmission electron microscopy.

Indexed as

Flow CytometryLipidsNanoparticlesNanotechnologyDynamic Light ScatteringLiposomesMicroscopy, Electron, TransmissionParticle SizeLipid NanoparticlesLipidsLiposomesCryoTEMlipid nanoparticlesnano-flow cytometry

Identifiers

PMID42396395
PMCPMC13327552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.