| Title: | Recognition of pathogens in food matrixes based on the untargeted in vivo microbial metabolite profiling via a novel SPME/GC x GC-QTOFMS approach |
| Author(s): | Fang S; Liu S; Song J; Huang Q; Xiang Z; |
| Address: | "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. 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. Electronic address: xiangzm@live.com" |
| DOI: | 10.1016/j.foodres.2021.110213 |
| ISSN/ISBN: | 1873-7145 (Electronic) 0963-9969 (Linking) |
| Abstract: | "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 x 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" |
| Keywords: | Gas Chromatography-Mass Spectrometry Metabolomics *Solid Phase Microextraction Staphylococcus aureus *Volatile Organic Compounds/analysis Comprehensive two-dimensional gas chromatography-mass spectrometry Foodborne pathogen Microbial volatile organic comp; |
| Notes: | "MedlineFang, Shuting Liu, Shuqin Song, Juyi Huang, Qihong Xiang, Zhangmin eng Research Support, Non-U.S. Gov't Canada 2021/03/29 Food Res Int. 2021 Apr; 142:110213. doi: 10.1016/j.foodres.2021.110213. Epub 2021 Feb 14" |
