Evidence map›Paper›PMID 35217916›Full record

ArticleArchives of microbiology2022

Microbiological contamination profile in soft drinks.

Marselle M N Silva, Verônica L Holanda, Karen S Pereira, Maria Alice Z Coelho

Abstract read
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In one paragraph

Article in Archives of microbiology, 2022. 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. Complete genome sequence ofMicrobiology resource announcements · 2024
    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

4 authors.

Marselle M N SilvaInstituto de Química, UFRJ, Av. Athos da Silveira Ramos, 149, Bloco A-Cidade Universitária, Rio de Janeiro, RJ, 21044-020, Brazil. marselle@eq.ufrj.br.ORCID http://orcid.org/0000-0001-6887-9478
Verônica L HolandaEscola de Química, UFRJ, Av. Athos da Silveira Ramos, 149, Bloco E-Cidade Universitária, Rio de Janeiro, RJ, 21044-020, Brazil.
Karen S PereiraEscola de Química, UFRJ, Av. Athos da Silveira Ramos, 149, Bloco E-Cidade Universitária, Rio de Janeiro, RJ, 21044-020, Brazil.
Maria Alice Z CoelhoEscola de Química, UFRJ, Av. Athos da Silveira Ramos, 149, Bloco E-Cidade Universitária, Rio de Janeiro, RJ, 21044-020, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft drinks are food matrices propitious to the growth of acidophilic bacteria, yeasts, and filamentous fungi due to their pH, water activity, and the presence of nutrients. Off-flavor, clouding, and package stuffing are the only parameters producers have to detect spoilage when it is often too late for the brand's reputation. In this work, microbiological analyses were performed on non-alcoholic beverages of Brazilian and Bolivian brands. As a result, Gram-positive, Gram-negative, yeast, and filamentous fungi were isolated. Zygosaccharomyces bisporus yeast was isolated from different flavored stuffed products, and Gluconacetobacter liquefaciens and Brevibacillus agri were isolated from packages without visible signs of deterioration. These microorganisms were identified by MALDI-TOF. For products with visible growth of filamentous fungi, microscopic identification keys identified Aspergillus flavus, Penicillium citrinum, Paecilomyces niveus, and Paecilomyces variotii. These work's findings reflect a failure to sanitize raw materials since the isolates' primary origin is the soil and the water, pointing to the lack of process control in soft drinks.

Indexed as

FungiYeastsCarbonated BeveragesFood ContaminationFood MicrobiologyFood industryFood safetyMALDI-TOFNon-alcoholic beveragesSoft drinksSpoilage

Identifiers

What OpenQuestion holds

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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.