Evidence map›Paper›PMID 34784061›Full record

ArticleElectrophoresis2022

Determination of lipid content and stability in lipid nanoparticles using ultra high-performance liquid chromatography in combination with a Corona Charged Aerosol Detector.

Caleb Kinsey, Tian Lu, Alyssa Deiss, Kim Vuolo, Lee Klein, Richard R Rustandi, John W Loughney

Open access · bronzeAbstract read
In one paragraph

Article in Electrophoresis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
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  6. RNA Therapeutics: Bridging Discovery and Clinical Implementation.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. MicroRNA137-loaded lipid nanoparticles regulate synaptic proteins in the prefrontal cortex.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  13. Review
  14. Article
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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

7 authors at 1 institution in 1 country.

Caleb KinseyVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.
Tian LuVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.ORCID 0000-0003-2979-3289
Alyssa DeissVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.
Kim VuoloVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.
Lee KleinVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.
Richard R RustandiVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.ORCID 0000-0002-2287-5188
John W LoughneyVaccine Analytical Research & Development, Merck & Co. Inc., West Point, Pennsylvania, USA.ORCID 0000-0002-9583-0423
United States Military Academy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many years, lipid nanoparticles (LNPs) have been used as delivery vehicles for various payloads (especially various oligonucleotides and mRNA), finding numerous applications in drug and vaccine development. LNP stability and bilayer fluidity are determined by the identities and the amounts of the various lipids employed in the formulation and LNP efficacy is determined in large part by the lipid composition which usually contains a cationic lipid, a PEG-lipid conjugate, cholesterol, and a zwitterionic helper phospholipid. Analytical methods developed for LNP characterization must be able to determine not only the identity and content of each individual lipid component (i.e., the parent lipids), but also the associated impurities and degradants. In this work, we describe an efficient and sensitive reversed-phase chromatographic method with charged aerosol detection (CAD) suitable for this purpose. Sample preparation diluent and mobile phase pH conditions are critical and have been optimized for the lipids of interest. This method was validated for its linearity, accuracy, precision, and specificity for lipid analysis to support process and formulation development for new drugs and vaccines.

Indexed as

LipidsNanoparticlesAerosolsChromatography, High Pressure LiquidLiposomesRNA, Small InterferingAerosolsLipid NanoparticlesLipidsLiposomesRNA, Small InterferingCationic lipidCharged aerosol detection (CAD)Lipid degradationLipid nanoparticles (LNP)Reverse-phase chromatography

Identifiers

PMID34784061
PMCPMC8652870
OpenAlexW3214455452

What OpenQuestion holds

Textmetadata
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.