Lu Han, Dang Chongshu, Liu Ruonan, Zhang Shufei, Xue Yuling, Feng Lili, Zhang Yaoguang, Wu Yan, Wang Shijie
College of Food Science and Biology, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China; Junlebao Dairy Co. Ltd., Shijiazhuang, Hebei 050221, China; Shanghai Jiao Tong University, Shanghai 200240, China.
College of Food Science and Biology, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China.
J Food Prot. 2025 May 22;88(6):100504. doi: 10.1016/j.jfp.2025.100504. Epub 2025 Apr 7.
Raw milk is the primary material for all dairy products, making it imperative to characterize and monitor its microbial composition to ensure product quality. To investigate microbial contamination from pasture to processing facilities and establish microbial traceability systems, eighty-seven raw milk samples were collected from a dairy farm in Shijiazhuang of China in August. The raw milk samples were categorized into three experimental groups based on: sampling sites along the production chain (manual milking, buffer tank, filter, refrigeration tank, milk truck, and plant factory), sampling time (before dawn, morning, noon, and afternoon), and refrigeration storage (0-72 h at 12 h intervals). The microbiota were evaluated by 16S rRNA sequencing. The results identified Pseudomonas, Lactobacillus, and Prevotella as the predominant bacterial genera across all sampling conditions. The α-diversity (Shannon and Chao1) and β-diversity analysis jointly revealed significant differences in microbial communities of raw milk samples. Specifically, raw milk collected from milk truck showed distinct bacterial communities compared with upstream collecting points, while morning-collected samples showed marked compositional differences from other time points. These findings were consistently supported by cluster heatmap analysis. In addition, the relative abundance of Pseudomonas in raw milk decreased but Lactococcus and Serratia increased with refrigerated time (P < 0.05). This inverse relationship was further evidenced in cooccurrence network showing a strong negative correlation between Lactococcus, Serratia, and Pseudomonas. These results indicated where and when (after being transported to milk truck and in the morning) we need to alert owing to potential contamination in raw milk. Our results also suggested that psychrotrophic bacteria in raw milk should be paid attention, especially Pseudomonas during early refrigerated storage and Serratia during late refrigerated storage.
生鲜乳是所有乳制品的主要原料,因此必须对其微生物组成进行表征和监测,以确保产品质量。为了调查从牧场到加工设施的微生物污染情况并建立微生物溯源系统,8月从中国石家庄的一个奶牛场采集了87份生鲜乳样本。生鲜乳样本根据以下因素分为三个实验组:生产链上的采样地点(手工挤奶、缓冲罐、过滤器、冷藏罐、运奶车和工厂车间)、采样时间(黎明前、上午、中午和下午)以及冷藏储存时间(0 - 72小时,间隔12小时)。通过16S rRNA测序对微生物群进行评估。结果确定假单胞菌属、乳杆菌属和普雷沃菌属是所有采样条件下的主要细菌属。α多样性(香农指数和Chao1指数)和β多样性分析共同揭示了生鲜乳样本微生物群落的显著差异。具体而言,与上游采集点相比,从运奶车采集的生鲜乳显示出不同的细菌群落,而上午采集的样本与其他时间点的样本在组成上存在明显差异。聚类热图分析一致支持了这些发现。此外,随着冷藏时间的延长,生鲜乳中假单胞菌属的相对丰度下降,但乳酸球菌属和沙雷氏菌属的相对丰度增加(P < 0.05)。共生网络进一步证明了这种反比关系,显示乳酸球菌属、沙雷氏菌属和假单胞菌属之间存在强烈的负相关。这些结果表明,由于生鲜乳存在潜在污染,我们需要在何时(运输到运奶车后以及上午)和何地保持警惕。我们的结果还表明,应关注生鲜乳中的嗜冷菌,尤其是冷藏初期的假单胞菌属和冷藏后期的沙雷氏菌属。