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

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.

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