Production Area Discrimination of Ophiopogon japonicus Using 1H-NMR Fingerprints and Stoichiometric Method
Tao Yuan
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.
Xin-yu Wen
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.
Zhi-qiang Zhang
School of Pharmacy, Sichuan College of Traditional Chinese Medicine, Mianyang, Sichuan, 621000, China.
Yi Huang *
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.
*Author to whom correspondence should be addressed.
Abstract
Objective: Compared the nuclear magnetic resonance (NMR) fingerprint spectra of Ophiopogon japonicus from three planted regions in Sichuan province and used multiple stoichiometric methods to distinguish these medicinal material's production areas.
Methods: The 1H-NMR data of three Ophiopogon japonicus-producing areas in Sichuan province were obtained. Three stoichiometric methods---similarity analysis, clustering analysis, and principal component analysis (PCA) were used to analyze these 1H-NMR characteristics.
Results: There were significant differences in Ophiopagon japonicus from the three production areas. Samples in distinct regions of the same large production area could also observe a slight divergence. The similarity analysis, clustering analysis, and PCA analysis results consistently indicated that NMR spectroscopy combined with chemical measurement analysis could identify the production areas of medicinal material.
Conclusion: This study established a method of determining the Ophiopogon japonicus's district based on the 1H-NMR fingerprint map and stoichiometric methods. The technique was relatively simple and could serve as a basis for identifying the production areas of Ophiopogon japonicus, providing a reference for developing and utilization of Ophiopogon japonicus.
Keywords: Ophiopogon japonicus (Linn.f.) Ker-Gawl, 1H-NMR fingerprints, identification of production areas, stoichiometric methods