化学试剂2026，Vol.48Issue(5)：76-89,14.DOI:10.13822/j.cnki.hxsj.2026.0056
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
Detection of Volatile Metabolites in Four Foodborne Pathogens Using a Novel SPME/GC×GC-QTOF-MS Strategy
摘要
Abstract
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.关键词
食源性致病菌/微生物挥发性有机化合物/代谢组学/固相微萃取/全二维气相色谱-质谱/多变量统计分析Key words
foodborne pathogenic bacteria/microbial volatile organic compounds/metabolomics/solid phase microextraction/comprehensive two-dimensional gas chromatography-mass spectrometry/multivariate statistical analysis分类
化学化工引用本文复制引用
黄宝华,方舒婷,黄毅权,陈智勇,刘舒芹,周志..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[J].化学试剂,2026,48(5):76-89,14.基金项目
国家自然科学基金资助项目(22376037) （22376037）
广东省基础与应用基础研究基金项目(2024A1515030179). （2024A1515030179）
