The Investigation of Changes in Bacterial Community of Pasteurized Milk during Cold Storage

Foods. 2024 Jan 31;13(3):451. doi: 10.3390/foods13030451.

Abstract

The quality of pasteurized milk is commonly assessed through microbiological analysis, with variations in storage conditions significantly impacting the suppression of bacterial growth throughout the milk's shelf life. This study investigated the dynamics of total bacterial counts (TBCs) and bacterial community shifts in milk that underwent pasteurization at 80 °C for 15 s. The milk was subsequently stored at 4 °C for varying intervals of 1, 4, 7, 10, 13, and 16 days. Culture-based testing revealed a significant TBC increase during the storage period spanning 1 to 16 days (up to -log10 4.2 CFU/mL at day 16). The TBC in pasteurized milk exhibited accelerated microbial growth from day 13 onwards, ultimately peaking on day 16. Bacillus was detected through 16S rRNA identification. Principal component analysis demonstrated a significant impact of storage time on bacterial communities in pasteurized milk. Analysis of bacterial diversity revealed a negative correlation between the Shannon index and the duration of pasteurized milk storage. Using high-throughput sequencing, Streptococcus and Acinetobacter were detected as prevalent bacterial genera, with Streptococcus dysgalactiae and Streptococcus uberis showing as dominant taxa. The presence of Streptococcus dysgalactiae and Streptococcus uberis in pasteurized milk might be attributed to the initial contamination from raw milk with mastitis. This study offers new evidence of the prevalence of bacterial community in pasteurized milk, thereby adding value to the enhancement of quality control and the development of strategies for reducing microbial risks.

Keywords: Bacillus; Streptococcus; cold storage; microorganism; pasteurized milk.

Grants and funding

This study was conducted with funding supports from the National Scientific Innovation Strategy Project (R2017YJ-YB3006, R2018PY-QF008), the Science and Technology Innovation Program of Hunan Province (2022RC1161), Guangdong Modern Agro-Industry Technology Research System project (2023KJ114), the High-level Talent Research Fund of Qingdao Agricultural University (6631111317), and the Shandong Provincial Government-University Joint Training Program ([2021]45-2-13).