生物膜
嗜冷菌
食物腐败
假单胞菌
食品科学
微生物学
化学
琼脂
生牛奶
生物
细菌
遗传学
作者
Minghui Yan,Liwen Luo,Dandan Li,Zhenmin Liu,Ran Wei,Jia Yi,Liang Qiao,Chunping You
标识
DOI:10.1016/j.lwt.2023.114508
摘要
Psychrotrophic Pseudomonas is often found as the predominant bacteria causing the spoilage of raw milk during product processing and storage. The spoilage can be aggravated if the strains have biofilm-forming ability. Risk assessment of biofilm formation by psychrotrophic Pseudomonas is highly important to prevent product spoilage at early stage. Herein, we develop an efficient strategy to identify the biofilm-forming risk by psychrotrophic Pseudomonas in raw milk based on MALDI-TOF MS. Molecular mass fingerprinting of whole cells was collected by MALDI-TOF MS, followed by multivariate statistical analysis combined with machine learning to establish a classification model of biofilm-forming ability by psychrotrophs. The results showed that Pseudomonas with different biofilm-forming capabilities can be well discriminated by the MALDI-TOF MS molecular mass fingerprinting. A classification model was established, showing 100% accuracy in biofilm-forming risk identification.
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