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利用代谢组学方法鉴定食源性致病菌的潜在生物标志物。

Identifying Putative Biomarkers of Foodborne Pathogens Using a Metabolomic Approach.

机构信息

Consumer Analytical Safety Sensory (CASS) Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC, Australia.

Department of Chemistry and Biotechnology, Swinburne University of Technology, Melbourne, VIC, Australia.

出版信息

Methods Mol Biol. 2025;2852:255-272. doi: 10.1007/978-1-0716-4100-2_17.

Abstract

Metabolomics is the study of low molecular weight biochemical molecules (typically <1500 Da) in a defined biological organism or system. In case of food systems, the term "food metabolomics" is often used. Food metabolomics has been widely explored and applied in various fields including food analysis, food intake, food traceability, and food safety. Food safety applications focusing on the identification of pathogen-specific biomarkers have been promising. This chapter describes a nontargeted metabolite profiling workflow using gas chromatography coupled with mass spectrometry (GC-MS) for characterizing three globally important foodborne pathogens, Escherichia coli O157:H7, Listeria monocytogenes, and Salmonella enterica, from selective enrichment liquid culture media. The workflow involves a detailed description of food spiking experiments followed by procedures for the extraction of polar metabolites from media, the analysis of the extracts using GC-MS, and finally chemometric data analysis using univariate and multivariate statistical tools to identify potential pathogen-specific biomarkers.

摘要

代谢组学是研究特定生物体系或生物样品中内源性低分子量代谢产物(通常 <1500 Da)的一门科学。在食品体系中,常使用“食品代谢组学”这一术语。食品代谢组学已被广泛应用于食品分析、饮食摄入、食品溯源和食品安全等多个领域。其中,专注于鉴定病原菌特异性生物标志物的食品安全应用具有广阔的前景。本章描述了一种基于气相色谱-质谱联用(GC-MS)的非靶向代谢物分析工作流程,用于从选择性增菌液体培养基中鉴定三种具有全球重要性的食源性致病菌:大肠杆菌 O157:H7、李斯特菌和沙门氏菌。该工作流程包括详细描述食物加标实验,然后是从培养基中提取极性代谢物的步骤,使用 GC-MS 对提取物进行分析,最后使用单变量和多变量统计工具进行化学计量数据分析,以鉴定潜在的病原菌特异性生物标志物。

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