Evidence map›Paper›PMID 35481022›Full record

ArticleRSC advances2021

UHPLC-HRMS/MS on untargeted metabolomics: a case study with

Ananda da Silva Antonio, Davi Santos Oliveira, Gustavo Ramalho Cardoso Dos Santos, Henrique Marcelo Gualberto Pereira, Larissa Silveira Moreira Wiedemann, Valdir Florêncio da Veiga-Junior

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2021. 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
0.6field-weighted citation impact, top 36% 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. Review
  2. Article
  3. Advancing the Chemical Characterization ofPlants (Basel, Switzerland) · 2025
    Article
  4. Metabolites · 2022
    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

6 authors at 2 institutions in 3 countries.

Ananda da Silva AntonioChemistry Department, Institute of Exact Sciences, Federal University of Amazonas Avenida Rodrigo Octávio, 6200, Coroado, CEP: 69.077-000 Manaus AM Brazil valdir.veiga@gmail.com.ORCID https://orcid.org/0000-0003-3247-5740
Davi Santos OliveiraChemistry Department, Institute of Exact Sciences, Federal University of Amazonas Avenida Rodrigo Octávio, 6200, Coroado, CEP: 69.077-000 Manaus AM Brazil valdir.veiga@gmail.com.
Gustavo Ramalho Cardoso Dos SantosFederal University of Rio de Janeiro, Chemistry Institute, Brazilian Doping Control Laboratory (LBCD - LADETEC/IQ - UFRJ) Avenida Horácio Macedo, 1281 - Pólo de Química - Cidade Universitária, Ilha do Fundão, CEP: 21941-598 Rio de Janeiro RJ Brazil.
Henrique Marcelo Gualberto PereiraFederal University of Rio de Janeiro, Chemistry Institute, Brazilian Doping Control Laboratory (LBCD - LADETEC/IQ - UFRJ) Avenida Horácio Macedo, 1281 - Pólo de Química - Cidade Universitária, Ilha do Fundão, CEP: 21941-598 Rio de Janeiro RJ Brazil.
Larissa Silveira Moreira WiedemannChemistry Department, Institute of Exact Sciences, Federal University of Amazonas Avenida Rodrigo Octávio, 6200, Coroado, CEP: 69.077-000 Manaus AM Brazil valdir.veiga@gmail.com.ORCID https://orcid.org/0000-0002-6479-2874
Valdir Florêncio da Veiga-JuniorChemistry Department, Institute of Exact Sciences, Federal University of Amazonas Avenida Rodrigo Octávio, 6200, Coroado, CEP: 69.077-000 Manaus AM Brazil valdir.veiga@gmail.com.ORCID https://orcid.org/0000-0003-1365-7602
Division of Chemistry · USUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Untargeted metabolomics is a powerful tool in chemical fingerprinting. It can be applied in phytochemistry to aid species identification, systematic studies and quality control of bioproducts. This approach aims to produce as much chemical information as possible, without focusing on any specific chemical class, thus, requiring extensive chemometric effort. This study aimed to evaluate the feasibly of an untargeted metabolomics method in phytochemistry by a study case of the

Identifiers

PMID35481022
PMCPMC9036981
OpenAlexW3183208672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.