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Shifts in ovine (Ovis aries) bulk-tank milk microbiota as a function of cold-storage temperature and duration
被引:0
|作者:
Kalamaki, Mary S.
[1
]
Kakagianni, Myrsini N.
[2
]
Angelidis, Apostolos S.
[3
]
机构:
[1] Amer Coll Thessaloniki, Div Technol & Sci, Thessaloniki 55510, Greece
[2] Univ Thessaly, Sch Agr Sci, Dept Food Sci & Nutr, Kardhitsa 43100, Greece
[3] Aristotle Univ Thessaloniki, Fac Hlth Sci, Dept Hyg & Technol Food Anim Origin, Sch Vet Med,Lab Safety & Qual Dairy Foods, Thessaloniki 54124, Greece
关键词:
Sheep milk;
Microbiota;
Cold storage;
Next generation sequencing;
Bacterial diversity;
HIGH-THROUGHPUT;
SHEEP MILK;
BACTERIA;
IDENTIFICATION;
RUMINANTS;
MASTITIS;
EWES;
NOV;
D O I:
10.1016/j.idairyj.2024.106032
中图分类号:
TS2 [食品工业];
学科分类号:
0832 ;
摘要:
The aim of this study was to identify the microbiota of ovine bulk-tank milk (BTM) and monitor its changes during storage at 4 degrees C or 8 degrees C for 2 or 4 days, simulating BTM holding times at the farm and/or the processing facility prior to milk processing, by using high-throughput sequencing of the 16S rRNA gene. The results showed that the microbiota is comprised of a plethora of taxa present in low abundance. The core microbiota consists of 28 bacterial genera with Staphylococcus being the most abundant at the time of sampling. Pseudomonas spp. exhibited the highest mean relative abundance at the end of all storage schemes, except for 2 days of storage at 4 degrees C. Sheep milk can be stored at 4 degrees C for 2 days without compromise in its microbiological quality, whereas milk storage at 8 degrees C for 2 days was almost equivalent to storage at 4 degrees C for 4 days. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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