A new method for studying the mechanism of "Feature Identification based quality assessment" of Traditional Chinese Medicine, taking Gastrodiae Rhizoma as an example

Heliyon. 2022 Aug 24;8(8):e10354. doi: 10.1016/j.heliyon.2022.e10354. eCollection 2022 Aug.

Abstract

Aim of the study: The research group proposed that the mechanism of "Feature Identification based Quality Assessment" (FIQA) of Traditional Chinese Medicine (TCM) can be explained according to the relationship between the "Feature" of TCM and the Pharmacodynamic Components representing the holistic effect of TCM. Gastrodiae Rhizoma (GR) was selected as the research object to reveal the close relationship between "Feature" and the quality of TCM.

Materials and methods: In this study, the "Feature" such as "Shape", "Color", "Odour" and "Taste" of GR are quantified by the electronic nose, electronic tongue, and other instruments. Then, the Pharmacodynamic Components Group (PCG) of GR was determined which could reflect the holistic effect of GR by spectrum effect relationship analysis. By analyzing the correlation between the "Feature" and the content of PCG, the mechanism of FIQA of GR was determined.

Results: The quantitative results of "Shape", "Color", "Odour" and "Taste" of GR from different sources were significantly different. Six components were selected as the PCG, which can represent the holistic effect of GR in the aspect of the neuroprotective effect. There was a good correlation between the components in the PCG and "Feature".

Conclusions: The quality of GR can be determined quantitatively according to its "Shape", "Color", "Odour" and "Taste". The mechanism of FIQA of TCM can be explained according to the relationship between the Shape of TCM and the Pharmacodynamic Components representing the quality of TCM. The revelation of this mechanism reflects the holistic characteristics of the multi-component synergistic effect of TCM. This study provides a reference research method for revealing the mechanism of FIQA of TCM.

Keywords: Feature; Feature identification based quality assessment; Pharmacodynamic components group; Quality; Relevance.