Evidence map›Paper›PMID 28713795›Full record

ArticleItalian journal of food safety2017

A New Approach to Predict the Fish Fillet Shelf-Life in Presence of Natural Preservative Agents.

Alessandro Giuffrida, Filippo Giarratana, Davide Valenti, Daniele Muscolino, Roberta Parisi, Alessio Parco, Stefania Marotta, Graziella Ziino, Antonio Panebianco

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In one paragraph

Article in Italian journal of food safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Anti-Antibiotics (Basel, Switzerland) · 2022
    Article
  2. Article
  3. 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

9 authors.

Alessandro GiuffridaDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Filippo GiarratanaDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Davide ValentiGroup of Interdisciplinary Theoretical Physics and CNISM, Department of Physics and Chemistry, University of Palermo, Palermo, Italy.
Daniele MuscolinoDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Roberta ParisiDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Alessio ParcoDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Stefania MarottaDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Graziella ZiinoDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.
Antonio PanebiancoDepartment of Veterinary Sciences, University of Messina, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three data sets concerning the behaviour of spoilage flora of fillets treated with natural preservative substances (NPS) were used to construct a new kind of mathematical predictive model. This model, unlike other ones, allows expressing the antibacterial effect of the NPS separately from the prediction of the growth rate. This approach, based on the introduction of a parameter into the predictive primary model, produced a good fitting of observed data and allowed characterising quantitatively the increase of shelf-life of fillets.

Indexed as

Fish filletsNatural preservative agentsPredictive microbiologyShelf-life

Identifiers

PMID28713795
PMCPMC5505098

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.