Evidence map›Paper›PMID 31083392›Full record

ReviewMolecules (Basel, Switzerland)2019

Approaching Authenticity Issues in Fish and Seafood Products by Qualitative Spectroscopy and Chemometrics.

Sergio Ghidini, Maria Olga Varrà, Emanuela Zanardi

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

3 authors.

Sergio GhidiniDepartment of Food and Drug, University of Parma, Strada del Taglio 10, 43126 Parma, Italy. sergio.ghidini@unipr.it.ORCID 0000-0002-7351-0381
Maria Olga VarràDepartment of Food and Drug, University of Parma, Strada del Taglio 10, 43126 Parma, Italy. mariaolga.varra@studenti.unipr.it.ORCID 0000-0001-9068-0254
Emanuela ZanardiDepartment of Food and Drug, University of Parma, Strada del Taglio 10, 43126 Parma, Italy. emanuela.zanardi@unipr.it.ORCID 0000-0002-2253-3647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsically complex nature of fish and seafood, as well as the complicated organisation of the international fish supply and market, make struggle against counterfeiting and falsification of fish and seafood products very difficult. The development of fast and reliable omics strategies based on spectroscopy in conjunction with multivariate data analysis has been attracting great interest from food scientists, so that the studies linked to fish and seafood authenticity have increased considerably in recent years. The present work has been designed to review the most promising studies dealing with the use of qualitative spectroscopy and chemometrics for the resolution of the key authenticity issues of fish and seafood products, with a focus on species substitution, geographical origin falsification, production method or farming system misrepresentation, and fresh for frozen/thawed product substitution. Within this framework, the potential of fluorescence, vibrational, nuclear magnetic resonance, and hyperspectral imaging spectroscopies, combined with both unsupervised and supervised chemometric techniques, has been highlighted, each time pointing out the trends in using one or another analytical approach and the performances achieved.

Indexed as

FishesSeafoodAnimalsFood TechnologyMagnetic Resonance SpectroscopyMultivariate Analysisabsorption/fluorescence spectroscopychemometricsfingerprintingfish and seafoodfood authenticationgeographical originhyperspectral imagingnuclear magnetic resonancevibrational spectroscopywild and farmed

Identifiers

PMID31083392
PMCPMC6540130

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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.