[Study on the Different Indexes of Gastrodia elata Total Glycosides Based on Fingerprint Combined with Multivariate Statistical Analysis].

OBJECTIVE

To establish HPLC fingerprint of Gastrodia elata total glycosides components and carry on multivariate statistical analysis, to screen the indexes compositions that may influence the difference between total glycosides from ten batches.

METHODS

Established HPLC fingerprint of Gastrodia elata total glycosides components from ten batches. The fingerprint similarity evaluation software was used to process the fingerprint data, SPSS 19. 0 was used to carry out system cluster analysis and principal component analysis( PCA). According to the PCA results, another system cluster analysis was carried out to screen the possible indexes compositions that influence the difference between total Gastrodia elata glycosides.

RESULTS

Twelve common peaks were remarked, according to the result of clustering analysis, ten batches rhizoma gastrodiae could be divided into four types, and the reasons of the differences may have a certain relationship with geographical location and growth environment. The PCA analysis results showed that, there were 6 different compositions and the cluster analysis results were the same as before, and the different indexes compositions were determined.

CONCLUSION

HPLC fingerprint of Gastrodia elata total glycosides components is established, through multivariate statistical analysis, the indexes compositions that may influence the differences of total gastrodia glycosides are screen, which lay a foundation for the comprehensive quality control,and provide a reference for the study between different compositions and the efficacy.