基于新型SPME/GC×GC-QTOF-MS技术检测4种食源性致病菌挥发性代谢物OA

Foodborne diseases caused by pathogenic bacteria pose a serious threat to food safety,creating an urgent need for convenient and effective pathogen detection methods.With the maturation of metabolomics technology and limitations in existing microbial volatile metabolite databases,the analysis of foodborne pathogen volatile metabolites has emerged as a promising alternative for pathogen identification in both food and clinical settings.To enable rapid,non-destructive identification of foodborne pathogenic bacteria,a volatile metabolite fingerprint-based in situ detection strategy was developed by coupling solid-phase microextraction(SPME)with comprehensive two-dimensional gas chromatography-quadrupole time-of-flight mass spectrometry(GC × GC-QTOF-MS).A novel self-fabricated SPME probe was employed to achieve high-coverage capture and efficient enrichment of microbial volatile metabolites released by Bacillus cereus,Streptococcus pyogenes,Shigella dysenteriae,and Enterobacter sakazakii,resulting in the identification of 107 microbial volatile organic compounds.Multivariate statistical analysis revealed significant separation of volatile metabolic features among the different pathogenic bacteria.A total of 21 potential differential volatile metabolites were identified,comprising 5,5,7,and 4 metabolites from B.cereus,S.pyogenes,Shigella,and E.sakazakii,respectively.Subsequent validation in food samples demonstrated that indole could serve as a characteristic volatile marker for E.sakazakii and remained detectable in dairy matrices.These results indicate that volatile metabolite fingerprint analysis has potential for rapid identification of foodborne pathogens and may provide a valuable reference for food safety monitoring.