In this paper, a database of international registration standard on natural crude drugs (NCDs) and international registered varieties of NCDs was constructed. In this database, taking NCDs as the research object, and the registration status and technical requirements of NCDs were systematically searched in representative countries and regions such as the United States, the European Union, Japan, South Korea, Singapore, Hong Kong, Brazil, Malaysia and South Africa. And the main information sources, system framework design ideas, methods and characteristics of the database are described in detail. The relevant databases are expected be actively constructed to further accelerate the pace of TCM internationalization taking advantages of knowledge integration, in order to provide strong technical support for TCM to go abroad and serve the world.

Objective: To study the factors affecting the whiteness of talc and the relationship between them. Methods: The content of metal elements, particle size and particle size distribution, which affect the whiteness of talc, were measured, and the main factors were speculated by principal component analysis (PCA). The linear regression model was established by SPSS. Results: Using PCA analysis, it is speculated that the main factors are the content of impurity metal calcium and particle size D₉₀. The established linear regression model is: Whiteness=96.457+42.770×Calcium% -0.422×D₉₀, with R² of 0.944 and Adjusted R² of 0.934 (P<0.05). The model was successfully constructed. Conclusion: The whiteness of pharmaceutical excipient talc is affected by its impurity metal calcium content and particle size D₉₀. The established whiteness correlation regression model provides a theoretical basis for whiteness as a visual quantity to control the particle size and impurity metal calcium content in talc production process and preparation. This study also provides a new idea for the study of the characteristics and quality attributes of pharmaceutical excipient talc.