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Enregistrement W3160077742 · doi:10.22067/ifstrj.v17i5.88681

تاثیر پوشش خوراکی بر پایه کیتوزان و پروتئین آب پنیر حاوی نانوکامپوزیتهای زیستی و اسانس آویشن شیرازی بر ماندگاری پنیر فتای فراپالایش

2021· article· fa· W3160077742 sur OpenAlexaboutno aff

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languefa
DomaineMaterials Science
ThématiqueNanocomposite Films for Food Packaging
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFood scienceShelf lifeEssential oilChitosanWhey proteinCoatingChemistryBiochemistry

Résumé

récupéré en direct d'OpenAlex

Introduction: In recent years, the tendency to use antimicrobial edible film and coating has increased, which has increased the quality, safety and shelf life of food. Cheese is one of the most important dairy products that has a special nutritional value in human nutrition. UF-Feta cheese, which is a type of cheese, is contaminated by microorganisms such as coliforms, spore-forming bacteria and lactose-fermenting yeasts. The causative agent of listeriosis, Listeria monocytogenes, is transmitted through the consumption of cheese. In this study, the effect of composite edible coating based on chitosan and whey protein containing titanium dioxide (TiO2) nanoparticles and Zataria multiflora essential oil on shelf life, microbial, physicochemical and sensory properties of UF-Feta type cheese was investigated. Furthermore, the inhibitory effect of films from coating solutions on the growth of Listeria monocytogenes was also investigated. Materials and Methods: Chitosan, whey protein isolate (WPI) (higher than 91% protein), Zataria multiflora essential oil (ZEO), TiO2 nanoparticles, and glycerol were procured from Bio Basic (Canada), Hilmar Canada, Barij-Essence Co. (Iran), Acros Co. (USA), and Merck Co. (Darmstadt, Germany), respectively. In order to prepare the coatings, a solution of WPI and chitosan was prepared separately. Whey protein suspension (3%, w/v) was made by dispersing WPI in DDW subsequently heated at 90°C for 30 min at pH value of 8.0 and then cooled rapidly. Chitosan solution (10 g/L) was made by dispersing chitosan in 2% (v/v) acetic acid solution with constant mixing for 3 h at 60°C. Based on preliminary experiments, whey protein–chitosan suspension was made using blending two polymer suspensions at constant ratio of WPI/chitosan (70:30) and mixed magnetically for 15 min at 25ºC. In the next step, TiO2 NPs (1 and 2% w/w) were incorporated and after mixing for 15 min, glycerol (30% w/w) was incorporated to the composite suspension and again stirred for 30 min. Next, ZEO (0 and 1% v/v) was incorporated into the composites suspension and sonicated for 30 min with power of 100 W.To produce cheese samples, milk was subjected to bactofogation, pasteurization (76°C for 15 seconds), ultrafiltration and then the retentate was homogenized at a pressure of 70 bars. By adding a starter culture (10 units /1000 L), the pH of the retentate was decreased to 6.2. Then, rennet (0.004 g/ 100 g) and salt (2 g/ 100 kg) were mixed with water and added to the cheese container. Retentate was transferred to a coagulation tunnel at 37 ° C for 30 minutes to form a coagulum. After incubation, the coating solutions were sprayed on the clot using a spray device equipped with a spray gun and packed with aluminum foil. Finally, the samples were stored at 4°C. Samples were subjected to microbiological tests (contaminating microbes and starters), physicochemical (fat, titratable acidity, pH, and moisture content, texture analysis) and sensory evaluation at different ripening periods (3 to 60 days). To evaluate the growth inhibitory of Listeria monocytogenes on the surface of cheese by composite films, pieces of cheese (23× 21× 1.7 mm) were first cut under aseptic conditions and their upper surface was inoculated with 40 μl of Listeria monocytogenes (ATCC19115) until the initial bacterial count was about 3.5 log cfu /g. The composite films placed on the surface of the inoculated cheese and stored at 4°C. Film-inoculated cheese samples were used as a control. Microbial counts were done at intervals of days 0, 3, 8, 11, 14. Data analyzed with SPSS software and means were compared with Duncan multiple range test. Results and Discussion: The results showed that TiO2 NPs and ZEO significantly reduced total bacterial count, lactic acid bacteria and coliforms compared to control with increasing storage period. Mold and yeast colonies also increased considerably over time in the control compared to the nanoparticle-treated samples, while the While in treatments containing ZEO did not grow at all. Physicochemical analysis exhibited that the content of moisture, fat, and pH of all cheeses decreased, acidity and texture hardness increased. Sensory evaluation of UF-Feta cheeses showed that the aroma, taste and overall acceptability of the control and nanoparticle-containing coatings improved compared to the brine-treated cheese. Nevertheless, in the coating samples containing ZEO due to the negative effect of the essential oil on the organoleptic properties of cheese, consumer acceptance was significantly reduced. On the other hand, the use of composite films to inhibit the growth of Listeria monocytogenes on the surface of UF-Feta cheese at 4 °C for 14 days showed that composite films, especially films containing ZEO, had a significant effect on the reduction of the Listeria monocytogenes population. As a conclusion, composite films containing TiO2 NPs and ZEO could be applied in food packaging systems, particularly at the UF-Feta cheese packaging.

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)0,007
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Science ouverte, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,099
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,002
Méta-épidémiologie (sens strict)0,0030,003
Méta-épidémiologie (sens large)0,0050,002
Bibliométrie0,0030,006
Études des sciences et des technologies0,0020,001
Communication savante0,0140,011
Science ouverte0,0140,009
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0820,003

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 Opus0,252
Tête enseignante GPT0,558
Écart entre enseignants0,307 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeExpérimental (laboratoire)
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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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