Evidence map›Paper›PMID 40358368›Full record

ArticleJournal of the American Society for Mass Spectrometry2025

LC-ESI(±)-LTQ MS

Marcos Valério Vieira Lyrio, Danieli Grancieri Debona, Amanda Eiriz Feu, Nayara Araujo Dos Santos, Arlan da Silva Gonçalves, Ricardo Machado Kuster, Eustáquio Vinícius Ribeiro de Castro, Wanderson Romão

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Marcos Valério Vieira LyrioFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.ORCID 0000-0002-2053-2173
Danieli Grancieri DebonaFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.
Amanda Eiriz FeuFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.
Nayara Araujo Dos SantosFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.ORCID 0000-0003-2754-2013
Arlan da Silva GonçalvesFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.ORCID 0000-0002-5965-3191
Ricardo Machado KusterFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.
Eustáquio Vinícius Ribeiro de CastroFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.
Wanderson RomãoFederal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee is characterized by a complex chemical matrix that significantly influences its organoleptic properties and market value. This complexity is driven by factors such as botanical species, geographical origin, cultivation conditions, and post-harvest processing methods. Metabolomic studies aim to elucidate how these factors impact the biosynthesis of metabolites that contribute to the sensory qualities of high-quality coffee. Among various analytical techniques, liquid chromatography-mass spectrometry (LC-MS) is particularly effective for separating, identifying, and quantifying these compounds. Most metabolomic studies employ high-resolution mass spectrometry (HRMS) for its superior mass accuracy (<1 ppm), whereas the interpretation of low-resolution data requires additional effort, often relying on literature references and proposed fragmentation mechanisms. In this study, we applied LC-ESI(±)LTQ MS

Indexed as

CoffeeMetabolomicsSpectrometry, Mass, Electrospray IonizationAlkaloidsAmino AcidsChromatography, LiquidFlavonoidsMetabolomeAlkaloidsAmino AcidsCoffeeFlavonoidsCoffeeLinear ion trapLiquid chromatographyMass spectrometryTandem MS

Identifiers

PMID40358368
PMCPMC12142669

What OpenQuestion 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 OpenQuestion graph.