Quality evaluation of Astragali Radix using a multivariate statistical approach

Quality of 43 Astragali Radix samples collected in China and Mongolia was evaluated by multivariate statistical analysis of liquid chromatography-ion trap-time of flight mass spectrometric data. The samples were classified into four groups and the most of maker compounds were identified by the elemental composition and MS/MS analysis. The quality of 43 Astragali Radix samples collected in China and Mongolia was evaluated using multivariate statistical analysis of data obtained from liquid chromatography-ion trap-time of flight (LC-IT-TOF) mass spectrometry. The samples were classified into four characteristic groups and most of the marker compounds were identified by elemental composition data and the results of MS/MS analysis. The approach provides useful information and gives an overview of the difference between crude drugs originating from different production environments and the genetic nature of the medicinal plants. In addition, the ease with which particular marker compounds could be identified and the effectiveness of the comparison by means of multivariate statistics, such as principal component analysis (PCA), indicates that this method could be utilized for the establishment of standardization and quality control procedures for crude drugs.