Evidence map›Paper›PMID 36766013›Full record

ArticleFoods (Basel, Switzerland)2023

The Characterization of Dry Fermented Sausages under the "Chorizo Zamorano" Quality Label: The Application of an Alternative Statistical Approach.

Javier Plaza, Carmelo Ávila-Zarza, Ana María Vivar-Quintana, Isabel Revilla

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Javier PlazaFaculty of Environmental and Agricultural Sciences, Universidad de Salamanca, Avenida Filiberto Villalobos 119, 37007 Salamanca, Spain.ORCID 0000-0002-8908-1606
Carmelo Ávila-ZarzaDepartment of Statistics, Universidad de Salamanca, Calle Alfonso X El Sabio, 37007 Salamanca, Spain.
Ana María Vivar-QuintanaFood Technology Group, Higher Polytechnic School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0003-1543-4736
Isabel RevillaFood Technology Group, Higher Polytechnic School of Zamora, Universidad de Salamanca, Avenida Requejo 33, 49022 Zamora, Spain.ORCID 0000-0002-4067-3416

Funding

Junta de Castilla y León SA039P17
6 · The paper itself

Abstract

The characterization of quality brand meat products, such as "Chorizo Zamorano" dry fermented sausages, involves a wide range of data which makes it necessary to use alternative statistical methodologies. In this study, the feasibility of the Categorical Principal Components Analysis as a multivariate non-linear technique for the characterization of "Chorizo Zamorano" was assessed. The data analyzed were those of eight commercial brands covered by the quality mark over an eight-year period (2013-2020) and included parameters of the physicochemical composition and organoleptic properties of the product. The results showed that "Chorizo Zamorano" has an average moisture content (28.28%), high protein (38.38%) and fat (51.05%) contents, and a very low carbohydrate concentration (1.52%). Results showed that the fat and protein content and the sensory parameters related to external and internal odor appeared to be the studied variables with the greatest influence on the classification of the products according to their quality.

Indexed as

categorical principal components analysismeat product qualityphysicochemical parametersquality brandssensory parameters

Identifiers

PMID36766013
PMCPMC9914336

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.