Metabolomic analysis of Thai herbal analgesic formula based on ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry

Sahatsatara formula (STF), a Thai herbal medicine which has been commonly used as analgesic drugs to relieve musculoskeletal pain and numbness in traditional medicine. The pharmacological studies of its ingredients have represented that anti-inflammatory antioxidant properties. However, the quality markers (Q-markers) for STF are still unknown require further investigation. primary goal this study was establish chemical profile though metabolomic analysis. Untargeted metabolomics were analyze global components accurately qualify compounds. Multivariate analysis (MVA) classify extract at three different concentrations control sample. Furthermore, samples' characteristics identification-related observed compounds matched Traditional Chinese library UNIFI software. According results, revealed 63 positive mode 33 negative within STF. Notably, 19 potential Q-markers tentative identified all STF, including alkaloids, terpenes, phenols, organic acids, disaccharides, fatty glycosides, quinonoids, steroids. exhibited effects such activity, anti-oxidant properties, correlated properties Consequently, provides insights into profiles identifies can be utilized qualitative quantitative Additionally, findings also useful research STF's through vitro assays, well exploring clinical efficacy support evidence-based