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Enregistrement W4412924130 · doi:10.3389/frfst.2025.1647333

Editorial: The future of foods

2025· editorial· en· W4412924130 sur OpenAlex

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Notice bibliographique

RevueFrontiers in Food Science and Technology · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueConsumer Attitudes and Food Labeling
Établissements canadiensAgriculture and Agri-Food CanadaUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésFood scienceChemistry

Résumé

récupéré en direct d'OpenAlex

Food production systems are currently facing a redefining moment filled with challenges and opportunities with the potential of rendering them more wholesome and sustainable. Thus, the future of foods can take many paths, from the product itself through the expanded use of new ingredient sources (e.g., grass, microalgae, acorns, insects, etc.) or by-products of the food industry (e.g., fruit pomace or brewer's spent grains), the development and optimization of novel processing technologies ( e.g., additive manufacturing, precision fermentation, cell cultures and emerging processes) and the advancement of disruptive techniques for data management, integration, and food systems virtualization (e.g., machine learning, Generative AI (gen AI), large language models (LLMs) and digital twins)Looking at the future of foods in a way that allows overcoming current challenges, and taking advantage of its opportunities, requires many considerations, such as factoring in customisation, security, extensive digitalization, and social, environmental, economic and health impacts of innovations. In particular, the development of new foods with sustainability in mind (e.g. alternative proteins) must consider health benefits as well as indulgence and sensory appeal, and these factors must be weighed against the cost of production processes and the ultimate cost to the consumer.Contributing articles to this timely topic explored the future of our food production systems, addressing key challenges ranging from food security affected by war and the political climate in grain-producing countries, or the impact of science and technology on food security in Ukraine, a hub for food and grain production. They also tackled concerns raising in other developing countries, specifically related to food safety practices in elderly facilities and the impact on foodborne disease outbreaks in South Africa (Tshegofatso and Ntsoaki, 2023) which can be generalised and extended worldwide as ageing populations are becoming a reality in many countries.New unusual and disruptive food sources, such as cell-cultured or cultured meat, are considered from the point of view of increasing the sustainability of the process by using agricultural waste as low-cost scaffolds for cultured meat (Perreault et al. 2023), to the detail of the molecular scale in a review by Azhar et al. (2023) and specificities, such as the impact of microplastics on fish muscle cell proliferation and differentiation (Sun et al. 2024).Other alternative soilless cultures and carbon fixers, such as spirulina and chlorella microalgae as food ingredients with high nutritional value, and proven sustainability, are covered in detail. In the study of Fratelli et al. (2023), the incorporation of spirulina biomass (SB) and spirulina residual biomass (RB) into wheat bread after extraction of Cphycocyanin was explored. They replaced 3% of wheat flour with either SB or RB to produce wheat bread with improved volume, high antioxidant capacity while also reducing the risk/presence of chemical contaminants (i.e., heavy metals). Baking with these novel ingredients also improved the digestibility of spirulina protein. Melcher et al. (2025) analysed and compared eight different commercial Chlorella products from different EU suppliers based on the identity of the production strain, macro-and micronutrient profiles, sensory properties, as well as microbial loads. The authors observed significant variations between white, yellow and green Chlorella products and concluded that advancing nutrient-and sensory comparative data sets could be helpful in the development of innovative foods.From a microbiological perspective, the novelty of screening natural compounds for prophage induction in the control of pathogenic bacteria in food is extensively covered by the contribution of Tompkins et al. (2025). The authors emphasized the need to find natural approaches to combat pathogenic bacteria in food, rooted on the drive for clean-labels and the urge to maintain food safety. They proposed a high-throughput luminescent prophage induction assay as a valuable tool for the initial screening of natural bioactive compounds that have the potential to improve food safety and quality by inducing prophages. However, they recognised that further research is needed to understand the mechanism of bacterial cell death and to establish optimal concentrations for prophage induction in the context of food preservation.The manuscript of Bazhal and Koutchma (2022) discussed the Impact of science and technology development in Ukraine on food security in the world. The solutions to enhance the stability of the grain and food supply are reviewed while aiding in reducing food and grain losses, improving food safety, and developing novel processing technologies. Another manuscript by Mottaleb and Govindan ( 2023) applied an ex-ante impact assessment procedure to examine the potential repercussions of the Russia-Ukraine conflict on the consumption and wheat trade and food security. In order to avoid hunger and supply shock from related disasters in the future, this study urges to search for alternative sources of grains, including wheat, particularly by importdependent, resource-poor countries.All these contributions to the Future of Foods research topic are novel and thoughtprovoking enough to attract your attention. Still, one manuscript, in the digital area remains, that will definitely convince you that this topic gathers most of the key issues about the future of our food -Virtualisation of food: applications and perspectives towards optimising food systems. In this mini-review, Chen et al. ( 2023) discussed digital objects (models, ghosts and twins) as monitoring and improvement tools for food systems. By dissecting virtualisation requirements, including data collection and analysis using complementary techniques reaching from Machine Learning to physical models, the authors shed light on the applicability of digital objects at several levels, from product to distribution channels and their dynamic, economical and effective roles to inform the design and performance of food products, manufacturing processes and supply chain logistics to achieve healthy and sustainable food systems.The editors are certain that this collection of articles is a must-read for any aspiring or established food scientist/technologist/engineer.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,803

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,261
Écart entre enseignants0,256 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle