Abstract:

      We employed a universial extract approach to obtain Glehnia littoralis extracts reflecting the their total characteristics. We further applied a Fourier transform nuclear magnetic resonance spectrometer to determine the Carbon-13  Nuclear Magnetic Resonance (¹³CNMR) fingerprints of different Glehnia littoralis extracts and calculated their similarities with vectorial angle method. Results show that the resonant peaks of many components exist in the fingerprints of different Glehnia littoralis extracts. The characteristic resonant peaks of their active components exhibit better repeatability and characteristics. A joint analysis of ¹³CNMR fingerprints and their characteristic peaks would provide an identification basis for Glehnia littoralis.

Key words: ¹³CNMR, fingerprint, Glehnia littoralis, identification