The　quality　of　Pseudostellaria　heterophylla　depends　on　the　growing　area　of　the　plants　greatly.　Compared　with　near　infrared　spectroscopy　employed　to　discriminate　the　geographic　regions　before,　the　Raman　signal　is　more　obvious.　So　far,　discrimination　of　P.　heterophylla　from　different　regions　by　Raman　spectroscopy　has　not　yet　been　realized.　Hence,　Raman　spectroscopy　coupled　with　chemometric　methods　to　rapidly　and　effectively　discriminate　P.　heterophylla　from　different　regions　was　studied.　Original　spectra　of　P.　heterophylla　in　wavenumber　range　of　4000-100　cm(-1)　were　acquired.　Then,　a　steady　and　exact　model,　partial　least　squares　discriminant　analysis　(PLS-DA),　was　constructed.　And　competitive　adaptive　reweighted　sampling　(CARS)　was　further　used　to　extract　effective　wavelength　spectral　characteristic　variables.　Results　show　that　CARS-PLS-DA　model　is　an　appropriate　model　to　discriminate　the　P.　heterophylla,　with　determination　coefficient　of　calibration　(R-C(2)),　root　mean　square　error　of　cross　validation　(RMSECV),　determination　coefficient　of　prediction　(R-P(2)),　and　root　mean　squared　error　of　prediction　(RMSEP)　are　0.9468,　0.1979,　0.9665,　and　0.1120,　respectively.　These　results　demonstrated　that　the　built　method　is　useful　and　effective　to　discriminate　P.　heterophylla　from　different　regions,　which　provide　a　new　idea　in　the　application　of　rapid　field　test.