Evidence map›Paper›PMID 38928813›Full record

ArticleFoods (Basel, Switzerland)2024

Exploring Microbial Influence on Flavor Development during Coffee Processing in Humid Subtropical Climate through Metagenetic-Metabolomics Analysis.

Alexander da Silva Vale, Cecília Marques Tenório Pereira, Juliano De Dea Lindner, Luiz Roberto Saldanha Rodrigues, Nájua Kêmil El Kadri, Maria Giovana Binder Pagnoncelli, Satinder Kaur Brar, Carlos Ricardo Soccol, Gilberto Vinícius de Melo Pereira

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

9 authors.

Alexander da Silva ValeDepartment of Bioprocess Engineering and Biotechnology, Federal University of Paraná (UFPR), Curitiba 81530-900, PR, Brazil.ORCID 0000-0002-4099-6856
Cecília Marques Tenório PereiraDepartment of Food Science and Technology, Federal University of Santa Catarina (UFSC), Florianópolis 88034-000, SC, Brazil.ORCID 0000-0001-7340-4637
Juliano De Dea LindnerDepartment of Food Science and Technology, Federal University of Santa Catarina (UFSC), Florianópolis 88034-000, SC, Brazil.ORCID 0000-0002-6191-8910
Luiz Roberto Saldanha RodriguesGraduate Program in Biotechnology, Federal Technological University of Paraná (UTFPR), Dois Vizinhos 85660-000, PR, Brazil.
Nájua Kêmil El KadriDepartment of Bioprocess Engineering and Biotechnology, Federal University of Paraná (UFPR), Curitiba 81530-900, PR, Brazil.
Maria Giovana Binder PagnoncelliGraduate Program in Biotechnology, Federal Technological University of Paraná (UTFPR), Dois Vizinhos 85660-000, PR, Brazil.
Satinder Kaur BrarDepartment of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, ON M3J 1P3, Canada.
Carlos Ricardo SoccolDepartment of Bioprocess Engineering and Biotechnology, Federal University of Paraná (UFPR), Curitiba 81530-900, PR, Brazil.ORCID 0000-0001-7630-6864
Gilberto Vinícius de Melo PereiraDepartment of Bioprocess Engineering and Biotechnology, Federal University of Paraná (UFPR), Curitiba 81530-900, PR, Brazil.ORCID 0000-0001-7671-8682

Funding

National Council for Scientific and Technological Development 440343/2022-4
6 · The paper itself

Abstract

Research into microbial interactions during coffee processing is essential for developing new methods that adapt to climate change and improve flavor, thus enhancing the resilience and quality of global coffee production. This study aimed to investigate how microbial communities interact and contribute to flavor development in coffee processing within humid subtropical climates. Employing Illumina sequencing for microbial dynamics analysis, and high-performance liquid chromatography (HPLC) integrated with gas chromatography-mass spectrometry (GC-MS) for metabolite assessment, the study revealed intricate microbial diversity and associated metabolic activities. Throughout the fermentation process, dominant microbial species included

Indexed as

climate changescoffee fermentationcup qualitySCA metricsspecialty coffee

Identifiers

PMID38928813
PMCPMC11203001

What OpenQuestion holds

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LicenceCC BY
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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.