Evidence map›Paper›PMID 40949202›Full record

ArticleACS omega2025

Optimization of Methodology for Simultaneous Quantification of Trigonelline, 5‑Caffeoylquinic Acid, and Caffeine in Green and Roasted Coffee Extracts by HPLC.

Walace Breno da Silva, Larissa Martins Rocha, Lucca Dornelas Guimarães Moura, Márcio Santos Soares, Sabrina Alves da Silva, Daniele Birck Moreira, Pedro Ivo Vieira Good God, Geraldo Humberto Silva

Abstract read
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In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Walace Breno da SilvaInstitute of Exact and Technological Sciences, Laboratory of Development of Natural Agrochemicals, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.ORCID https://orcid.org/0009-0007-2803-5861
Larissa Martins RochaInstitute of Exact and Technological Sciences, Laboratory of Development of Natural Agrochemicals, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.
Lucca Dornelas Guimarães MouraInstitute of Agrarian Sciences, Laboratory of Biochemistry and Molecular Genetics, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.
Márcio Santos SoaresInstitute of Exact and Technological Sciences, Laboratory of Environmental Geochemistry and Natural Products, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.
Sabrina Alves da SilvaInstitute of Animal Health and Production, Federal Rural University of the Amazon, Avenue Presidente Tancredo Neves, N° 2501, Terra firme, Belém 66077-830, PA, Brazil.
Daniele Birck MoreiraLaboratory of Molecular Genetics of Plants and Phytopathogens, Mato Grosso State University Pro-Central-West Network, Highway MT-358, Km 7, Jardim Aeroporto, Tangará da Serra 78301-532, MT, Brazil.
Pedro Ivo Vieira Good GodInstitute of Agrarian Sciences, Laboratory of Biochemistry and Molecular Genetics, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.
Geraldo Humberto SilvaInstitute of Exact and Technological Sciences, Laboratory of Development of Natural Agrochemicals, Federal University of Viçosa, Highway MG-230, Km 7 - Rural Area, Rio Paranaíba 38810-000, MG, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main bioactive compounds in coffee beans affecting beverage quality include trigonelline, 5-caffeoylquinic acid (5-CQA), and caffeine. Despite the use of various analytical techniques, there is a need for a faster and more accessible alternative to the costly and complex methods used in routine coffee composition analysis. This study aimed to optimize and validate a high-performance liquid chromatography with ultraviolet detection (HPLC-UV-DAD) method for the simultaneous quantification of these three bioactive compounds in five

Identifiers

PMID40949202
PMCPMC12423835

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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.