LC-QTOF/MS-Based Non-targeted Metabolomics Combined with Machine Learning Algorithms for Geographical Origin Discrimination of Yongfu Luohan Guo (Siraitia grosvenorii)

Key Points

• Geographical origin discrimination was achieved using machine learning algorithms, enhancing accuracy.
• The method employed utilized non-targeted metabolomics, integrating complex data for effective classification.
• Assessment was based on data from Siraitia grosvenorii samples across different regions, showcasing its broad applicability.
• Potential applications include quality control and authenticity verification in herbal medicine and food industries.