开发和评估用于枚举农业、食品和环境样本中抗利福平大肠杆菌的改良最可能数 (MPN) 方法

IF 1.9 4区 农林科学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of Food Safety Pub Date : 2024-05-02 DOI:10.1111/jfs.13127
Zhujun Gao, Aprajeeta Jha, Claire L. Hudson, Adam L. Hopper, Shirley A. Micallef, Rohan V. Tikekar
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引用次数: 0

摘要

低水平的利福平耐药大肠杆菌经常被用作食品安全研究的模式微生物,通常采用传统的最大可能数(MPN)法进行计数。为了简化这一过程,我们开发并验证了一种基于含利福平和溴甲酚紫的乳糖蛋白胨肉汤(LPB)的改良 MPN 方法。大肠杆菌 TVS353 在以下悬浮液中制备,包括健康细胞、受伤细胞、具有或不具有利福平抗性的竞争性细菌以及未知的天然微生物菌群。大肠杆菌 TVS353 采用传统的 MPN 法和我们改进的方法进行定量。在 1 log CFU/mL 的预测水平下,这些悬浮液中 LPBR 的 MPN 指数与 TSB 和 TSBR 相比没有显著差异(p > 0.05)。这种新的变色 MPN 方法产生的确认结果与传统的 MPN 方法类似。
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Development and evaluation of a modified most probable number (MPN) method for enumerating rifampicin-resistant Escherichia coli in agricultural, food, and environmental samples

Low level of rifampicin-resistant E. coli is frequently used in food safety research as a model microorganism and is typically enumerated using traditional Most Probable Number (MPN) method. To simplify the process, we developed and validated a modified MPN method based on lactose peptone broth (LPB) containing rifampicin and bromocresol purple, the broth changes to a yellow color due to pH shifts induced by lactose fermentation from E. coli. E. coli TVS353 were prepared in following suspensions including healthy cells, injured cells, competitive bacteria with or without rifampicin resistance, and unknown natural microflora. E. coli TVS353 was quantified by traditional MPN method and our improved method. At a predicted level of 1 log CFU/mL, there was no significant difference in the MPN index of LPBR compared with TSB and TSBR in these suspensions (p > 0.05). Confirmation results generated from this new color change MPN method were analogous to traditional MPN methods.

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来源期刊
Journal of Food Safety
Journal of Food Safety 工程技术-生物工程与应用微生物
CiteScore
5.30
自引率
0.00%
发文量
69
审稿时长
1 months
期刊介绍: The Journal of Food Safety emphasizes mechanistic studies involving inhibition, injury, and metabolism of food poisoning microorganisms, as well as the regulation of growth and toxin production in both model systems and complex food substrates. It also focuses on pathogens which cause food-borne illness, helping readers understand the factors affecting the initial detection of parasites, their development, transmission, and methods of control and destruction.
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