Rapid　detection　of　food-borne　pathogens　is　the　most　critical　and　urgent　issue　among　all　the　current　food　safety　problems.　As　enhanced　substrate,　nanoparticles　are　widely　used　in　surface　enhanced　Raman　scattering　(SERS)　because　of　unique　optical　and　physicochemical　properties.　In　this　study,　Au　nanoparticles　with　monodisperse　and　good　reproducibility　were　synthesized　by　using　sodium　citrate　reduction　method.　Applying　Au　nanoparticles　sol　as　enhanced　substrate,　a　portable　Raman　spectrometer　had　been　applied　for　rapid　detection　of　single　and　mixture　pathogenic　bacterial　contamination　by　SERS.　The　results　indicated　that　Escherichia　coli,　Salmonella　typhimirium,　Shigella　flexner　and　Staphylococcus　aureus　showed　specific　Raman　phenotypes　at　600　similar　to　1700　cm(-1).　Generally,　different　bacteria　could　be　easily　and　instantly　recognized　by　its　Raman　phenotypes.　The　PC-LDA　classification　model　was　set　up　by　combined　bacterial　Raman　phenotypes　with　the　multivariate　statistical　analysis.　With　the　short-time　inoculation,　four　enteropathogenic　bacteria　could　be　rapidly,　precisely,　sensitively　and　specifically　identified.　Furthermore,　the　model　also　had　a　good　ability　to　predict　the　mixed　contamination.　This　research　provides　the　possibility　of　rapid　detection　in　the　food　and　biomedical　fields.