Evidence map›Paper›PMID 36076884›Full record

ArticleFoods (Basel, Switzerland)2022

Harnessing the Full Power of Chemometric-Based Analysis of Total Reflection X-ray Fluorescence Spectral Data to Boost the Identification of Seafood Provenance and Fishing Areas.

Bernardo Duarte, Renato Mamede, João Carreiras, Irina A Duarte, Isabel Caçador, Patrick Reis-Santos, Rita P Vasconcelos, Carla Gameiro, Pedro Ré, Susanne E Tanner and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Bernardo DuarteMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0003-1914-7435
Renato MamedeMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0003-3702-5474
João CarreirasMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0002-1110-488X
Irina A DuarteMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.
Isabel CaçadorMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.
Patrick Reis-SantosSouthern Seas Ecology Laboratories, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0001-9843-9465
Rita P VasconcelosIPMA-Instituto Português do Mar e da Atmosfera, Av. Dr. Alfredo Magalhães Ramalho 6, 1495-165 Algés, Portugal.
Carla GameiroIPMA-Instituto Português do Mar e da Atmosfera, Av. Dr. Alfredo Magalhães Ramalho 6, 1495-165 Algés, Portugal.ORCID 0000-0003-2396-3929
Pedro RéMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Laboratório Marítimo da Guia, Faculdade de Ciências, Universidade de Lisboa, Avenida Nossa Senhora do Cabo, 2750-374 Cascais, Portugal.
Susanne E TannerMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.
Vanessa F FonsecaMARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.ORCID 0000-0002-6374-1194

Funding

Fundação para a Ciência e Tecnologia 2021.00244.CEECINDFundação para a Ciência e Tecnologia 2021.02710.CEECINDFundação para a Ciência e Tecnologia CEECIND/00511/2017Fundação para a Ciência e Tecnologia LA/P/0069/2020Fundação para a Ciência e Tecnologia UIDB/04292/2020Mar2020 MAR-01.03.01-FEAMP-0047
6 · The paper itself

Abstract

Provenance and traceability are crucial aspects of seafood safety, supporting managers and regulators, and allowing consumers to have clear information about the origin of the seafood products they consume. In the present study, we developed an innovative spectral approach based on total reflection X-ray fluorescence (TXRF) spectroscopy to identify the provenance of seafood and present a case study for five economically relevant marine species harvested in different areas of the Atlantic Portuguese coast: three bony fish-

Indexed as

chemometricstraceabilityX-ray spectroscopy

Identifiers

PMID36076884
PMCPMC9455438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.