Aim: To establish the method of HPLC-fingerprint analysis for the quality control of Dalbergia odorifera and identify its main constituents by HPLC-MS.
Methods: The 37 hatches 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 x min(-1) and detected at 275 nm. Furthermore, the typical samples were detected by HPLC-DAD-MS under negative ion mode.
Results: 37 batches of D. odorifera samples were classified into three types based on the results of similarity analysis. According to the comparison of the tR, MS data and UV maximum absorbance (gamma(max)) values with the standards, 10, 7 and 2 phenolic components were identified in three types of D. odorifera extracts, separately.
Conclusion: The method is repeatable and reliable, and it is capable of effectively controlling the quality of D. odorifera.