Evidence map›Paper›PMID 35602089›Full record

ArticleFrontiers in microbiology2022

Application of Electronic Nose to Discriminate Species of Mold Strains in Synthetic Brines.

Ramiro Sánchez, Francisco Pérez-Nevado, Ismael Montero-Fernández, Jesús Lozano, Félix Meléndez, Daniel Martín-Vertedor

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Masking Effect ofFoods (Basel, Switzerland) · 2022
    Article
  4. Article
  5. 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.

Ramiro SánchezTechnological Institute of Food and Agriculture CICYTEX-INTAEX, Junta of Extremadura, Badajoz, Spain.
Francisco Pérez-NevadoÁrea de Nutrición y Bromatología, Departamento de Producción Animal y Ciencia de los Alimentos, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Badajoz, Spain.
Ismael Montero-FernándezDepartment of Agricultural and Forestry Engineering, School of Agrarian Engineering, University of Extremadura, Badajoz, Spain.
Jesús LozanoResearch Institute of Agricultural Resources (INURA), Badajoz, Spain.
Félix MeléndezIndustrial Engineering School, University of Extremadura, Badajoz, Spain.
Daniel Martín-VertedorTechnological Institute of Food and Agriculture CICYTEX-INTAEX, Junta of Extremadura, Badajoz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chemical composition of the brine for Spanish-style table olives plays a crucial role during the fermentation process. Traditional laboratory analysis requires a high consumption of reagents, highly qualified personnel, sophisticated equipment, long analysis times, and large amounts of samples. Analysis carried out using an electronic nose (E-nose) offers an alternative, non-destructive technique and is useful in determining alterations in brines caused by microorganisms. In the present research, nine mold strains isolated from spoiled olives were inoculated in synthetic brines to determine the effect of microbial development on sensory quality, volatile profile, and the capacity of E-nose to discriminate altered brines from the healthy ones. The brines inoculated with the mold strains presented negative attributes related to aromas of mold, wood, leather, rancidity and, organic solvents among others. The highest intensity of defect was presented by the brines inoculated with the strains

Indexed as

altering microorganismsinoculationsensory qualitySpanish-style table olivesvolatile compounds

Identifiers

PMID35602089
PMCPMC9120861

What OpenQuestion holds

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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.