Several analytical techniques such as gas chromatography–mass spectrometry, proton transfer reac-tion–mass spectrometry and laser photoacoustic detection, were used to characterize the volatiles emitted by Erwinia amylovora and other plant-pathogenic bacteria. Diverse volatiles were found to be emitted by the different bacterial species examined. The distinct blend of volatiles produced by bacteria allowed their identification using an electronic nose (e-nose). The present study reports the discrimination of E. amylovora, the fire blight pathogen, from other plant-associated bacteria using an e-nose based on metal oxide semiconductor sensors. Two different approaches were used for bacterial identification. The first one was the direct comparison of the odorous profiles of unknown bacterial isolates with four selected reference species. The second approach was the use of previously developed databases representing the odorous variability among several bacte-rial species. Using these two strategies, the e-nose suc-cessfully identified the isolates in 87.5 and 62.5% of the cases, respectively. Finally, the profiling of the volatiles emitted by E. amylovora lead to identify some metabolic markers with a potential biological activity in vitro.