Evidence map›Paper›PMID 36432039›Full record

ArticleMolecules (Basel, Switzerland)2022

LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae.

Gesiane S Lima, Nerilson M Lima, Jussara V Roque, Deborah V A de Aguiar, João V A Oliveira, Gabriel F Dos Santos, Andrea R Chaves, Boniek G Vaz

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Phytochemistry and Pharmacological Potential of the GenusPharmaceuticals (Basel, Switzerland) · 2026
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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

8 authors.

Gesiane S LimaInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.ORCID 0000-0001-6657-198X
Nerilson M LimaInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.ORCID 0000-0001-9669-0306
Jussara V RoqueInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.ORCID 0000-0002-5220-959X
Deborah V A de AguiarInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.
João V A OliveiraInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.
Gabriel F Dos SantosInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.ORCID 0000-0002-4155-6238
Andrea R ChavesInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.
Boniek G VazInstitute of Chemistry, Federal University of Goias, Goiania 74690-900, GO, Brazil.ORCID 0000-0003-1197-4284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach is a powerful technology for discovering novel biologically active molecules. In this study, we investigated the metabolic profiling of Orchidaceae species using LC-HRMS/MS data combined with chemometric methods and dereplication tools to discover antifungal compounds. We analyze twenty ethanolic plant extracts from

Indexed as

OrchidaceaeStilbenesAntifungal AgentsChromatography, LiquidMass SpectrometryMetabolomicsPlantsAntifungal AgentsStilbenesantifungal compoundsliquid chromatography–mass spectrometrymetabolic dynamicuntargeted metabolomics

Identifiers

PMID36432039
PMCPMC9692279

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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.