Evidence map›Paper›PMID 42032802›Full record

ArticleAnalytical chemistry2026

Expanding the Analytical Toolbox for Extracellular Vesicle Biochemical Profiling: A Multiplatform Spectroscopic and Chromatographic Strategy.

Caterina Branca, Angela Paterna, Estella Rao, Samuele Raccosta, Mohamed Zekri, Sabrina Picciotto, Paola Gargano, Giorgia Adamo, Luana Pulvirenti, Laura Siracusa and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 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

12 authors.

Caterina BrancaDepartment of Mathematical and Computational Sciences, Physical Science and Earth Science, University of Messina, 98166 Messina, Italy.
Angela PaternaInstitute of Biophysics, National Research Council of Italy, 90146 Palermo, Italy.
Estella RaoInstitute of Biophysics, National Research Council of Italy, 90146 Palermo, Italy.
Samuele RaccostaInstitute of Biophysics, National Research Council of Italy, 90146 Palermo, Italy.
Mohamed ZekriDepartment of Mathematical and Computational Sciences, Physical Science and Earth Science, University of Messina, 98166 Messina, Italy.ORCID 0000-0001-8688-9207
Sabrina PicciottoInstitute of Biophysics, National Research Council of Italy, 90146 Palermo, Italy.
Paola GarganoInstitute for Biomedical Research and Innovation, National Research Council of Italy, 90146 Palermo, Italy.
Giorgia AdamoInstitute for Biomedical Research and Innovation, National Research Council of Italy, 90146 Palermo, Italy.ORCID 0000-0002-6887-763X
Luana PulvirentiInstitute of Biomolecular Chemistry, National Research Council of Italy, 95126 Catania, Italy.
Laura SiracusaInstitute of Biomolecular Chemistry, National Research Council of Italy, 95126 Catania, Italy.
Antonella BongiovanniInstitute for Biomedical Research and Innovation, National Research Council of Italy, 90146 Palermo, Italy.
Mauro MannoInstitute of Biophysics, National Research Council of Italy, 90146 Palermo, Italy.ORCID 0000-0001-9843-0428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular characterization of extracellular vesicles (EVs) remains a major analytical challenge, particularly regarding lipid components that govern vesicle stability, biogenesis, and biological activity. Here we present an integrated workflow combining high-performance liquid chromatography with diode array detection (HPLC-DAD), attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR), and gas chromatography-mass spectrometry (GC-MS) to profile EV lipids from both mammalian (human embryonic kidney HEK293T human cell line) and microalgal (

Indexed as

Extracellular VesiclesLipidsChromatography, High Pressure LiquidFatty AcidsGas Chromatography-Mass SpectrometryHEK293 CellsHumansSpectroscopy, Fourier Transform InfraredFatty AcidsLipids

Identifiers

PMID42032802
PMCPMC13177279

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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.