Guangdong Provincial Engineering Research Center for Ambient Mass Spectrometry, Guangdong Provincial Key Laboratory of Emergency Test for Dangerous Chemicals, Institute of Analysis, Guangdong Academy of Sciences(China National Analytical Center, Guangzhou), Guangzhou 510070, China.
School of Chemical Engineering, Guizhou Minzu University, Guiyang 550001, China.
Food Res Int. 2021 Apr;142:110213. doi: 10.1016/j.foodres.2021.110213. Epub 2021 Feb 14.
Foodborne diseases incurred by pathogenic bacteria are one of the major threats in food safety, and thus it is important to develop facile and effective recognition methodology of pathogens in food. Herein, a new automatic approach for detection of in vivo volatile metabolites emitted from foodborne pathogens was proposed by coupling solid phase microextraction (SPME) technique with a comprehensive two-dimensional gas chromatography quadrupole time-of-flight mass spectrometry (GC × GC-QTOFMS). A novel polymer composite based SPME probe which possessed high-coverage of microbial metabolites was utilized in this contribution to realize the sensitive extraction of untargeted metabolites. As a result, a total of 126 in vivo metabolites generated by the investigated pathogens were detected and identified, with 33, 29, 25, 21 and 18 volatile metabolites belonging to Shigella sonnei, Escherichia coli, Salmonella typhimurium, Vibrio parahaemolyticus and Staphylococcus aureus, respectively. Multivariate statistical analyses were applied for further analysis of metabolic data and separation of responsive metabolic features among different microbial systems were found, which were also successfully verified in foodstuffs contaminated by microorganisms. The growth trend of the potential volatile markers of each pathogen in food samples kept consistent with that of the pure strain incubated in medium during the whole incubation time. This study promotes the application of SPME technology in microbial volatile metabolomics and contributes to the development of new approaches for foodborne pathogens recognition.
食源性致病菌引发的食源性疾病是食品安全的主要威胁之一，因此开发简便、有效的食源性致病菌识别方法非常重要。本研究通过将固相微萃取（SPME）技术与全二维气相色谱-四极杆飞行时间质谱联用（GC×GC-QTOFMS）相结合，提出了一种新的用于检测食源性致病菌体内挥发代谢物的自动方法。本研究利用一种新型聚合物复合 SPME 探针，对微生物代谢物具有高覆盖率，实现了对非靶向代谢物的灵敏提取。结果共检测到并鉴定出 126 种由研究病原体产生的体内代谢物，其中属于志贺氏菌、大肠杆菌、鼠伤寒沙门氏菌、副溶血性弧菌和金黄色葡萄球菌的挥发性代谢物分别为 33、29、25、21 和 18 种。采用多元统计分析方法对代谢数据进行进一步分析，发现不同微生物系统之间的响应代谢特征得到了分离，并且在受微生物污染的食品中也得到了成功验证。在整个孵育过程中，每种病原体在食品样本中的潜在挥发性标志物的生长趋势与在培养基中孵育的纯菌株的生长趋势一致。本研究促进了 SPME 技术在微生物挥发代谢组学中的应用，为食源性致病菌的识别方法提供了新的思路。
