Abstract: AimTo establish the method of HPLC-fingerprint analysis for the quality control of Dalbergia odorifera and identify its main constituents by HPLC-MS. MethodsThe 37 batches of samples were analyzed on a Phenomenex Luna C₁₈ column with a gradient of acetonitrile and 0.3% aqueous acetic acid at a flow rate of 1.0 mL·min^-1 and detected at 275 nm. Furthermore, the typical samples were detected by HPLC-DAD-MS under negative ion mode. Results37 batches of D.odorifera samples were classified into three types based on the results of similarity analysis. According to the comparison of the t_R, MS data and UV maximum absorbance (λ_max) values with the standards, 10, 7 and 2 phenolic components were identified in three types of D.odorifera extracts, separately. ConclusionThe method is repeatable and reliable, and it is capable of effectively controlling the quality of D.odorifera.