[Pattern Recognition Analysis for Quality Control of Jia Ga Song Tang by GC-MS].

OBJECTIVE: To establish a scientific method for identitication and evaluation of the Tibetan prescription Jia Ga Song Tang. METHODS: Volatile oil was extracted by water steam distillation and analyzed by GC-MS. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to the samples for chemical fingerprint pattern recognition research. RESULTS: 16 samples according to hierarchical cluster analysis (HCA) and principal component analysis (PCA) were divided into two classes, and results from two recognition analysis methods had good consistency. CONCLUSION: GC-MS-pattern recognition method was a kind of scientific, accurate and effective method for the quality evaluation of Jia Ga Song Tang.

[Analysis of chemical constituents of volatile components from Jia Ga Song Tang by GC-MS].

OBJECTIVE: To analyze the chemical components of volatile components from Jia Ga Song Tang. METHODS: The volatile oils were extracted by water steam distillation. The chemical components of essential oil were analyzed by GC-MS and quantitatively determined by a normalization method. RESULTS: 103 components were separated and 87 components were identified in the volatile oil of Zingiberis Rhizoma. 58 components were separated and 38 components were identified in the volatile oil of Myristicae Semen. 49 components were separated and 38 components were identified in the volatile oil of Amomi Rotundus Fructus. 89 components were separated and 63 components were identified in the volatile oil of Jia Ga Song Tang. CONCLUSION: Eucalyptol, ß-phellandrene and other terpenes were the main compounds in the volatile oil of Jia Ga Song Tang. Changes in the kinds and content of volatile components can provide evidences for scientific and rational compatibility for Jia Ga Song Tang.