Notice bibliographique
Résumé
ObjectivesThe use of protein ingredients in meat products is becoming increasingly popular to increase protein levels, as a meat substitute due to its lower cost compared to meat, improve product texture, increase cook yields or to enhance final product flavor. Beef collagen comes from the corium layer of beef hides is an allergen-free, functional protein ingredient which can replace some or all of the traditional binders and other Group 2 protein ingredients like mustard (a declared allergen in Europe and Canada) in meat products. Beef collagen can also be used to replace meat to provide cost savings. Beef collagen is USDA/FSIS approved and listed on Directive 7120.1 for various comminuted meat products where binders are permitted not to exceed 3.5% of product formulation. The objective of this study was to evaluate quality characteristics of beef hot dogs by utilizing beef collagen with or without mustard flour as a Group 2 protein to maximize the added water. Materials and MethodsThree treatments of beef hot dogs were formulated: Control with 0.6% mustard flour (added water = 8.78), TRT 2: 0.6% mustard flour + 0.4% Beef collagen + 1.37% additional water (added water = 8.78), TRT 3: 1.01% Beef collagen + 2.83% additional water (added water = 10). Lean beef with 10% fat, salt, sodium phosphate, sodium nitrite, sodium erythorbate and half the water/ice were chopped in a bowl chopper to a temperature of 12°C. Beef with 50% fat, rest of the dry ingredients and the remaining water were added to the bowl chopper and chopped until the temperature reached 21°C. The emulsion was stuffed into a 22 mm diameter cellulose casings and cooked in a smokehouse to an internal temperature of 71.6°C. Hot dogs were stabilized using USDA Appendix B guidelines, peeled, vacuum packaged and stored in a cooler at 4°C for 120 d. Hot dogs were evaluated for cook yield by difference in weight before and after cooking, texture profile analysis (TPA) using a Texture Analyzer equipped with a 1-cm diameter stainless steel probe, with compression setting to 30% of hot dog of 2.54-cm height. TPA was measured on hot dogs that were warmed on a Model 12 Star Roller Grill set on medium heat for 15 min. Interior color (L, a, and b values) was measured using a handheld Hunterlab color reflectance meter equipped with a D65 Optical Sensor. Purge was measured by difference in weight of product and weight of liquid expelled in the package over 12 wk of refrigerated storage of vacuum packaged hot dogs. The study was replicated three times and statistical analysis was performed using ANOVA (P 0.05) different for TRT 3 compared to control. Hunterlab interior L values were significantly (P 0.05) different for any of the treatments. Purge was significantly (P < 0.05) lower for all test treatments compared to control over 12 wk of refrigerated storage of vacuum packaged hot dogs. ConclusionBeef collagen is an allergen-free functional Group 2 protein ingredient that can be used to replace other protein ingredients or meat to increase cook yields, reduced purge and improve texture in comminuted meat products.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».