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Enregistrement W7006209659

Sviluppo di bioaerogels come ingredienti chiave nello sviluppo di alimenti funzionali per promuovere la salute attraverso la dieta

2025· dissertation· en· W7006209659 sur OpenAlexaboutno aff

Notice bibliographique

RevueInstitutional Research Information System (University of Udine) · 2025
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueLepidoptera: Biology and Taxonomy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPopulationCelluloseProcess (computing)High proteinWhey protein
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Developing new ingredients is a topic of great interest in the agri-food sector, as they can offer new solutions to the growing challenges that this sector is facing, such as the need to guarantee the well-being of the global population and environmental sustainability. Aerogels, materials with unique physical properties characterised by high porosity, low density and high internal surface area, have the potential to meet these needs. However, studies concerning the development of such materials are mainly focused on applications in sectors far from the food one, using precursors and processes that make aerogels unsuitable for human consumption. The aim of this PhD thesis was thus to develop aerogels using food-grade precursors and processes, studying their potential applicability as innovative food ingredients. To this aim, the PhD project was divided into four parts. In the first part, the potentialities of aerogels as ingredients for the development of analogues of protein-rich tissues (e.g., meat) were studied. To this aim, monolithic aerogels based on cellulose and whey proteins were produced and characterised. Whey protein aerogels were then exploited for the physical entrapment of spirulin cells. The latter were effectively incorporated within the aerogels, begetting a protein-based cellular solid; at the same time, the aerogelation process allowed for the significant removal of the typical flavour and colour of spirulina, which undermine its use in foods. The second part was focused on the evaluation of whey protein aerogels as ingredients able to load and steer the release of bioactive molecules. To this end, during a short-term scientific mission at Hamburg University of Technology, aerogels in the form of beads were loaded with vanillin, selected as a representative molecule with aroma and health properties. While vanillin is easily lost during food processing, its impregnation into aerogels allowed for a controlled release in aqueous media, which was found to be further modulated by the application of a hydrophobic surface layer based on ethylcellulose onto the aerogel particles. In the third part, aerogels were exploited to absorb and structure liquid oil to obtain innovative fat replacers. Powders of aerogel particles smaller than 50 μm were produced from both proteins and plant tissues. Upon interaction with oil, these powders resulted in fat replacers with rheological properties comparable to those of hard fats. In vitro digestibility tests showed that this approach is able to modulate both protein and oil digestibility. The aerogel oil-structuring capacity was also validated in the preparation of low-saturated fat cocoa spreads. Given the complex behaviour of aerogels in the presence of oil, the fourth part of the thesis, carried out as a visiting PhD student at Toronto Metropolitan University, was dedicated to a fundamental understanding of the interactions of aerogel powders with food solvents. This approach revealed the chemical-physical mechanisms driving the capacity of aerogels to interact with oil and/or water. By the aware management of these mechanisms, the oil-structuring capacity of aerogels was further improved by adding an adequate amount of water, which resulted in the formation of capillary suspensions. The fifth and final part of this PhD thesis was dedicated to the evaluation of the upscaling potential of aerogel production, to determine the readiness of this technology for entering the food ingredient market. This activity, partly carried out at Keey Aerogel Company during a short-term scientific mission, demonstrated that the production of aerogels is scalable and that the selling price of aerogel-based ingredients would be in line with that of functional ingredients currently available on the market.

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.

Comment cette classification a été obtenuedéplier

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,899
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,001
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 Opus0,033
Tête enseignante GPT0,282
Écart entre enseignants0,248 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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