Evidence map›Paper›PMID 41244425›Full record

ArticleACS omega2025

Fast and Straightforward Lipid Quantification in Pharmaceutical Compositions Using NMR.

Francesco Currò, Ander Eguskiza, Linda Cerofolini, Silvia Martini, Massimiliano Biagini, Daniela Stranges, Marco Fragai, Maxime Denis

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

8 authors.

Francesco CurròDepartment of Chemistry Ugo Schiff (DICUS), University of Florence, via Della Lastruccia 3, 50019 Sesto Fiorentino, Italy.
Ander EguskizaGSK, 53100 Siena, Italy.
Linda CerofoliniDepartment of Chemistry Ugo Schiff (DICUS), University of Florence, via Della Lastruccia 3, 50019 Sesto Fiorentino, Italy.
Silvia MartiniGSK, 53100 Siena, Italy.
Massimiliano BiaginiGSK, 53100 Siena, Italy.
Daniela StrangesGSK, 53100 Siena, Italy.
Marco FragaiDepartment of Chemistry Ugo Schiff (DICUS), University of Florence, via Della Lastruccia 3, 50019 Sesto Fiorentino, Italy.ORCID https://orcid.org/0000-0002-8440-1690
Maxime DenisGSK, 53100 Siena, Italy.ORCID https://orcid.org/0009-0005-1081-6614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liposomes are versatile nanoscale delivery systems used extensively in pharmaceuticals. Accurate quantification of lipids in liposome formulations is critical for ensuring the product quality and efficacy. This study evaluates the use of NMR spectroscopy applied to lipid quantification within liposomes. The investigation focused on lipids commonly found in liposomal products and other lipid-based delivery systems, such as DSPC, DOPC, cholesterol, and DMPE-PEG2K. Lipid quantification was performed using both an internal reference and an external standard through PULCON (pulse length-based concentration determination) methods. Both methods showed high accuracy, precision, and reproducibility. Additionally, the PULCON NMR technique offered enhanced consistency and faster analyses, making it particularly suitable for industrial needs involving rapid analysis across numerous samples. The quantification of liposome solutions was also conducted using a UPLC-ELSD method for a comparison of the two techniques. These findings support the refinement of rapid, accurate lipid quantification methods, essential for quality control in large-scale manufacturing processes and optimizing the drug product formulation process.

Identifiers

PMID41244425
PMCPMC12612900

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.