Functional properties of oleogels and emulsion gels as adipose tissue mimetics
Notice bibliographique
Résumé
The demand for plant-based meat analogues continues to rise as consumers seek sustainable and healthier dietary choices. Currently, plant-based meat analogue manufacturers focus heavily on protein quality and content. At present, there is an emphasis on converting globular plant proteins to more meat-like, fibrous structures, while the fat portion of plant-based meat alternatives is not given adequate attention and remains subpar. To replicate the textural and sensory attributes of animal-based meat, the development of adipose tissue mimetics is essential, as adipose tissue is the primary fat store for meat. This narrative review investigates the concept of adipose tissue and explores various methods for creating adipose tissue mimetics using oleogel or emulsion gels. Adipose tissue is made up of an extracellular matrix which contains animal fat. Since the fat in animals is not “free,” adipose tissue retains its structural integrity after cooking, which contributes to its high resilience and ability to sustain its shape. Popular methods in creating adipose tissue mimetics, including the use of oleogels and emulsion gels, are discussed with examples from recent years, as well as examples of other, less common methods. Strengths and limitations of the various methods employed for creation of adipose tissue mimetics are carefully considered. Emulsion gels were able to maintain their solid-like behaviour even at elevated temperatures. Emulsion gels used more label-friendly gelling materials compared to oleogels which used the non-label-friendly ethylcellulose. Oleogels were however able to achieve the same oil content as well as hardness of adipose tissue in some samples. Both types of gels offered a customizable lipid profile, the ability to partially mimic TPA results of animal adipose tissue, and utilized plant-based sustainable and health-conscious ingredients. Based on this review, areas that need improvement include textural and rheological qualities like hardness, oil retention upon heating, preserving meat-like sensory properties in plant-based meat analogues, and finding consumer friendly ingredients. • There is an increasing demand for plant-based meat analogues for environmental and health purposes. • An improvement in plant-based meat analogues is needed in order to satisfy consumers. • An adipose tissue mimetic is needed to improve the fat portion of plant-based meat analogues. • A good adipose tissue mimetic could greatly improve the consumer acceptability of plant-based meat analogues. • Current research does not provide an adequate method for producing adipose tissue mimetics.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».