Abstract:　Pseudostellaria　heterophylla　is　a　very　popular　traditional　Chinese　medicine　herb,　also　called　“Taizishen.”　Discrimination　of　P.　heterophylla　from　different　regions　is　critical　for　ensuring　the　effectiveness　of　drug　use,　because　the　drug　effects　of　P.　heterophylla　from　different　regions　are　diversity　of　each　other.　To　discriminate　P.　heterophylla　from　different　regions　rapidly　and　effectively,　a　model　extracted　by　competitive　adaptive　reweighted　sampling　(CARS)　was　established.　Original　spectra　of　P.　heterophylla　in　wave　number　range　of　10,000　to　4,000 cm−1　were　acquired.　Orthogonal　partial　least　squares　discriminant　analysis　(OPLS-DA)　was　also　used　to　establish　a　suitable　model.　CARS　was　performed　for　extracting　key　wave　number　variables.　We　found　that　the　near-infrared　spectrum　of　a　series　of　samples　analyzed　by　Row-center-SG,　CARS,　and　OPLS-DA　can　effectively　distinguish　the　P.　heterophylla　from　different　regions,　and　the　accuracy　of　OPLS-DA　model　is　also　satisfactory　in　terms　of　good　discrimination　rate.　These　results　show　that　the　Row-center-SG,　CARS,　and　OPLS-DA　model　can　be　used　to　identify　the　P.　heterophylla　from　different　regions.　Practical　Application:　According　to　our　research　results,　we　can　draw　a　conclusion　that　our　research　results　may　be　used　to　distinguish　the　traditional　Chinese　medicine　from　those　from　different　places　of　origin　and　the　powder　with　similar　appearance.　©　2020　Institute　of　Food　Technologists®