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Analysis of institutional authors

Verdu, SCorresponding AuthorFuentes, CAuthorFuentes, AAuthorPerez, AjAuthorBarat, JmAuthorGrau, RAuthor

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October 11, 2024
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Control of cod-liver oil composition with laser scattering imaging combined with machine learning procedures: The cases of adulteration and oxidation

Publicated to: JOURNAL OF FOOD ENGINEERING. 370 111955- - 2024-01-01 370(), DOI: 10.1016/j.jfoodeng.2024.111955

Authors:

Verdú-Amat, Samuel; Fuentes López, Cristina; Fuentes López, Ana; Pérez, Alberto J.; Barat Baviera, José Manuel; Grau Meló, Raúl
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Affiliations

Univ Politcn Valencia, Edificio Acceso Planta 0 Ciudad Politecn Innovac,C - Author
Univ Politecn Valencia, Dept Informat Sistemas & Comp - Author
Univ Politecn Valencia, Inst Ingn Alimentos Food UPV - Author
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Abstract

Chemical changes in cod-liver oil produced by oxidation and adulterations with other oils were modelled using RGB-laser scattering imaging. Two types of composition-altered cod-liver oil were: oxidised oil at three different temperatures (4, 20, and 40(degrees) C) and cod-liver oil adultered with wheat-germ, soybeana, sesame and corn. Both types of altered oils and control samples were analysed by the imaging technique and chemical measurements were also carried out to know the oxidation status. The capacity of the technique for detecting pure cod-liver oil was tested by applying multivariate regression and discriminant procedures based on PLS using the information captured from each type of laser (650 nm, 550 nm and 450 nm). The results showed the capacity of the technique to capture the variability provided by the cod-liver oil against the other vegetable oils used as adulterants. It was discriminate from all vegetable oils and all them were detected when were added as adulterants. Changes in the oxidation status were also modelled by predicting the oxidation parameters with R-2 > 0.90, independently of the temperature of storage. Those capacities made it possible to discriminate pure cod-liver from all tested adulterated-oxidised samples performing a common model. The prediction capacity was synergic when models were performed including the three lasers, as opposed to the results obtained with singly-laser models.
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Keywords

AdulterationCod-liver oilFatLaser scattering imagingLightNon-destructive inspectionOxidationSpectroscopy

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF FOOD ENGINEERING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 34/182, thus managing to position itself as a Q1 (Primer Cuartil), in the category Food Science & Technology.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-08:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (VERDÚ AMAT, SAMUEL) and Last Author (Grau Meló, Raúl).

the author responsible for correspondence tasks has been VERDÚ AMAT, SAMUEL.

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Awards linked to the item

The authors are grateful to the grant BIOZOOSTAIN (PCI2020- 112051) funded by MCIN/AEI/10.13039/501100011033 and by the "European Union Next GenerationEU/PRTR ".
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