Evidence map›Paper›PMID 42072612›Full record

ArticleBiomolecules2026

Combining IR and Raman Spectroscopies for Enhanced Accuracy and Precision in the Determination of Lipid Composition in Liposomes.

Waseem Ahmed, Aneesh Vincent Veluthandath, Ganapathy Senthil Murugan

Abstract read
In one paragraph

Article in Biomolecules, 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

3 authors.

Waseem AhmedOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK.
Aneesh Vincent VeluthandathOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0003-4306-6723
Ganapathy Senthil MuruganOptoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-2733-3273

Funding

Engineering and Physical Sciences Research Council EP/S03109X/1
6 · The paper itself

Abstract

Reducing measurement uncertainty is crucial to enable the adoption of rapid point-of-use techniques for clinical and industrial applications. Diagnosis of neonatal respiratory distress syndrome and liposome formulation quality control are two applications for which measuring the ratio of the lecithin to sphingomyelin composition of liposomes is important, for which no rapid measurement currently exists. Raman and infrared spectroscopies are two complementary approaches to examine characteristic molecular vibrations that can spectroscopically measure liposomes and, when combined with machine learning, predict their composition. We show that employing a data-fusion approach the uncertainty in the predicted compositions compared to the individual modalities (IR

Indexed as

LipidsLiposomesSpectrum Analysis, RamanLecithinsMachine LearningSpectrophotometry, InfraredSphingomyelinsLecithinsLipidsLiposomesSphingomyelinsdata fusionmachine learningprediction intervals

Identifiers

PMID42072612
PMCPMC13113388

What Socratic 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 Socratic graph.