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Integrating Natural Tags to Track Seafood Provenance

A special issue of Molecules (ISSN 1420-3049).

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 2975

Special Issue Editors


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Guest Editor
MARE—Marine and Environmental Sciences Centre, Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisbon, Portugal
Interests: ecotoxicology; emerging and legacy contaminants; biomarker discovery; numeric tool development; toxicophenomics
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E-Mail Website
Guest Editor
MARE—Marine and Environmental Sciences Centre, Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisbon, Portugal
Interests: biodiversity and ecosystem functioning; environmental risk; aquaculture and fisheries; biotechnology and resource enhancement
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
MARE—Marine and Environmental Sciences Centre, Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisbon, Portugal
Interests: seafood provenance; biogeochemical composition of carbonate structures

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Guest Editor
Department of Food and Drug, University of Parma, 43126 Parma, Italy
Interests: vibrational spectroscopty; inductively coupled plasma mass spectroscopy (ICP-MS); food authentication; traceability; food fraud; chemometrics; machine learning; heavy metals; food safety; risk assessment; food inspection; ionomics; fishery science; food contaminants

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Guest Editor
Southern Seas Ecology Laboratories, School of Biological Sciences, The University of Adelaide, Adelaide 5005, Australia
Interests: seafood provenance; biogeochemical markers

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Guest Editor
Department of Manufacturing Engineering and Management, De La Salle University, Manila 1004, Philippines
Interests: applied artificial intelligence; evolutionary computing; future food systems; sustainable agriculture; biosystems; life-cycle assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, seafood product chemical signatures are considered to be promising tools for the determination of food provenance, to tackle fraud, promote sustainable harvesting and production and build consumer trust, making the development of innovative tools and frameworks enabling us to determine seafood provenance crucial. These tools can include approaches using a suite of chemical natural tags such as element and isotopic compositions of soft tissues and hard biogenic structures (e.g., otoliths and shells), organic molecule chemical profiles (e.g., fatty acid profiles) or genomic approaches. In addition, a wide range of statistical chemometric approaches, including artificial intelligence (AI) and machine learning algorithms, can also be used to gather all the seafood product chemical characteristics from different provenances, and support the development of classification tools to validate the chemical profile from seafood products originating from different geographical origins, having the potential to refine provenance appraisals and generate outcomes not always readily anticipated by single markers. These chemical profiles also provide nutritional information regarding the seafood product, while simultaneously supporting certification frameworks for an added value of food products. Within this framework, this Special Issue will cover review articles, short communications and research papers addressing the application of chemical, biochemical and elemental tags with the purpose of tracking seafood product provenance and production methods, as well as statistical and chemometric approaches to improve the identification of the origin of seafood.

Dr. Bernardo Duarte
Dr. Vanessa F. Fonseca
Dr. Susanne Tanner
Dr. Maria Olga Varrà
Dr. Patrick Reis-Santos
Dr. Ronnie S. Concepcion II
Guest Editors

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Keywords

  • traceability
  • seafood provenance
  • chemometrics
  • food fraud

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Published Papers (1 paper)

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Research

16 pages, 3159 KiB  
Article
Elemental Chemometrics as Tools to Depict Stalked Barnacle (Pollicipes pollicipes) Harvest Locations and Food Safety
by Bernardo Duarte, Renato Mamede, Irina A. Duarte, Isabel Caçador, Susanne E. Tanner, Marisa Silva, David Jacinto, Teresa Cruz and Vanessa F. Fonseca
Molecules 2022, 27(4), 1298; https://doi.org/10.3390/molecules27041298 - 15 Feb 2022
Cited by 8 | Viewed by 2141
Abstract
The stalked barnacle Pollicipes pollicipes is an abundant species on the very exposed rocky shore habitats of the Spanish and Portuguese coasts, constituting also an important economical resource, as a seafood item with high commercial value. Twenty-four elements were measured by untargeted total [...] Read more.
The stalked barnacle Pollicipes pollicipes is an abundant species on the very exposed rocky shore habitats of the Spanish and Portuguese coasts, constituting also an important economical resource, as a seafood item with high commercial value. Twenty-four elements were measured by untargeted total reflection X-ray fluorescence spectroscopy (TXRF) in the edible peduncle of stalked barnacles sampled in six sites along the Portuguese western coast, comprising a total of 90 individuals. The elemental profile of 90 individuals originated from several geographical sites (N = 15 per site), were analysed using several chemometric multivariate approaches (variable in importance partial least square discriminant analysis (VIP-PLS-DA), stepwise linear discriminant analysis (S-LDA), linear discriminant analysis (LDA), random forests (RF) and canonical analysis of principal components (CAP)), to evaluate the ability of each approach to trace the geographical origin of the animals collected. As a suspension feeder, this species introduces a high degree of background noise, leading to a comparatively lower classification of the chemometric approaches based on the complete elemental profile of the peduncle (canonical analysis of principal components and linear discriminant analysis). The application of variable selection approaches such as the VIP-PLS-DA and S-LDA significantly increased the classification accuracy (77.8% and 84.4%, respectively) of the samples according to their harvesting area, while reducing the number of elements needed for this classification, and thus the background noise. Moreover, the selected elements are similar to those selected by other random and non-random approaches, reinforcing the reliability of this selection. This untargeted analytical procedure also allowed to depict the degree of risk, in terms of human consumption of these animals, highlighting the geographical areas where these delicacies presented lower values for critical elements compared to the standard thresholds for human consumption. Full article
(This article belongs to the Special Issue Integrating Natural Tags to Track Seafood Provenance)
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