Evidence map›Paper›PMID 36308555›Full record

ArticleAnalytical and bioanalytical chemistry2022

Automated sample preparation and fast GC-MS determination of fatty acids in blood samples and dietary supplements.

Antonio Ferracane, Ivan Aloisi, Micaela Galletta, Mariosimone Zoccali, Peter Q Tranchida, Giuseppe Micalizzi, Luigi Mondello

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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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 2 institutions in 1 country.

Antonio FerracaneDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy.
Ivan AloisiDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy.
Micaela GallettaDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy.
Mariosimone ZoccaliDepartment of Mathematical and Computer Science, Physical Sciences and Earth Sciences, University of Messina, 98168, Messina, Italy.
Peter Q TranchidaDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy.
Giuseppe MicalizziDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy. giumicalizzi@unime.it.
Luigi MondelloDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168, Messina, Italy.
University of Messina · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present research is focused on the optimization of an automatized sample preparation and fast gas chromatography-mass spectrometry (GC-MS) method for the analysis of fatty acid methyl esters (FAMEs) in blood samples and dietary supplements, with the primary objective being a significant reduction of the analysis time and, hence, an enhanced sample throughput. The mass spectrometer was operated in the scan/selected ion monitoring (SIM) acquisition method, thus enabling the obtainment of qualitative and (highly sensitive) quantitative data. The separation of FAMEs was obtained in about 11 min by using a micro-bore column of dimensions 15 m × 0.10 mm ID × 0.10 µm d

Indexed as

Dietary SupplementsFatty AcidsGas Chromatography-Mass SpectrometryHumansMass SpectrometryReproducibility of ResultsFatty AcidsDried blood spotFast GC–MSFatty acid methyl estersLipidomicsScan/SIM acquisitionSelected ion monitoring

Identifiers

PMID36308555
OpenAlexW4307584418

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.