A　method　to　analyze　the　volatile　components　in　Minnan　oolong　tea　was　developed　based　on　headspace　solid　phase　microextraction　(HS-SPME)　coupled　with　comprehensive　two　dimensional　gas　chromatography-time　of　flight　mass　spectrometry　(GC×GC-TOF　MS).　Volatile　compounds　of　48　oolong　tea　samples　with　different　qualities　and　production　seasons　from　five　varieties　(Tieguanyin,　Huangjingui,　Benshan,　Maoxie　and　Meizhan)　were　extracted　by　HS-SPME　and　analyzed　by　GC×GC-TOF　MS.　More　than　2000　peaks　were　obtained　from　each　sample,　and　51　common　compounds　were　tentatively　identified　by　comparison　with　the　standard　mass　spectrum　databases,　retention　indices　and　structure　spectra.　The　projection　score　of　the　common　compounds　obtained　from　principal　component　analysis　(PCA)　had　presented　a　straightforward　classification　trend　for　different　oolong　tea　varieties.　In　addition,　9　compounds　which　had　significant　impact　on　the　classification　were　selected　by　stepwise　discriminate　analysis,　and　used　as　variables　to　establish　four　discriminated　functions　by　Fisher＇　s　discriminate　analysis　(FDA).　The　accuracy　for　the　recognition　of　48　samples　was　97.9%.　The　results　had　demonstrated　the　feasibility　of　the　method　to　be　used　to　discriminate　the　oolong　tea　varieties.