Evidence map›Paper›PMID 40362642›Full record

ReviewInternational journal of molecular sciences2025

Recent Trends in Food Quality and Authentication: The Role of Omics Technologies in Dairy and Meat Production.

Ailín Martínez, Michel Abanto, Nathalia Baptista Días, Paula Olate, Isabela Pérez Nuñez, Rommy Díaz, Néstor Sepúlveda, Erwin A Paz, John Quiñones

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

9 authors.

Ailín MartínezDoctoral Program in Science Major in Applied Cellular and Molecular Biology, Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.
Michel AbantoScientific and Technological Bioresource Nucleus BIOREN-UFRO, Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.
Nathalia Baptista DíasScientific and Technological Bioresource Nucleus BIOREN-UFRO, Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.ORCID 0000-0002-5902-634X
Paula OlateMeat Quality Innovation and Technology Centre (CTI-Carne), Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.
Isabela Pérez NuñezMeat Quality Innovation and Technology Centre (CTI-Carne), Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.ORCID 0009-0008-8009-3695
Rommy DíazMeat Quality Innovation and Technology Centre (CTI-Carne), Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.ORCID 0000-0002-6209-6728
Néstor SepúlvedaMeat Quality Innovation and Technology Centre (CTI-Carne), Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.ORCID 0000-0001-8321-604X
Erwin A PazUWA Institute of Agriculture, The University of Western Australia, Perth 6009, Australia.ORCID 0000-0003-4093-7415
John QuiñonesMeat Quality Innovation and Technology Centre (CTI-Carne), Universidad de La Frontera, Av. Francisco Salazar 01145, Temuco 4811-230, Chile.ORCID 0000-0002-5353-3084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global demand for animal protein presents significant challenges in the production of nutritionally rich foods, such as milk and meat. Traditionally, the quality of these products is assessed using physicochemical, microbiological, and sensory methods. Although effective, these techniques are constrained by time limiting their widespread application. Furthermore, growing concerns regarding sustainability, animal welfare, and transparency have driven the development of technologies to enhance the rapid and precise assessment of food quality. In this context, omics technologies have transformed the characterization of animal-origin food by providing in-depth molecular understanding of their composition and quality. These tools enable the identification of biomarkers, adulteration detection, optimization of nutritional profiles, and enhancement of authentication and traceability, facilitating the development of functional foods. Despite their potential, several barriers persist, including high implementation cost, the need for specialized infrastructure, and the complexity of integrating multi-omics data. The main aim of this review was to provide information on advances in the application of omics technologies in dairy and meat production systems and studies that use them in food quality, authentication, and sustainability. It also outlines opportunities in areas such as fraud prevention and functional product development to support the transition to safer, healthier, and more transparent food systems.

Indexed as

DairyingDairy ProductsFood QualityMeatAnimalsGenomicsHumansMetabolomicsProteomicsadulterationauthenticationfraudfunctional foodsmeatmilkomics approachquality

Identifiers

PMID40362642
PMCPMC12072367

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.