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To better understand the mechanisms underlying the pharmacological actions of Salvia miltiorrhiza, correlation between the chemical profiles and in vitro antioxidant activities in 50 batches of wild S. miltiorrhiza samples was analyzed. Our ultra-performance liquid chromatography–tandem mass spectrometry analysis detected twelve phenolic acids and five tanshinones and obtained various chemical profiles from different origins. In a principal component analysis (PCA) and cluster analysis, the tanshinones cryptotanshinone, tanshinone IIA and dihydrotanshinone I exhibited higher weights in PC1, whereas the phenolic acids danshensu, salvianolic acids A and B and lithospermic acid were highly loaded in PC2. All components could be optimized as markers of different locations and might be suitable for S. miltiorrhiza quality analyses. Additionally, the DPPH and ABTS assays used to comprehensively evaluate antioxidant activities indicated large variations, with mean DPPH and ABTS scavenging potencies of 32.24 and 23.39 μg/mL, respectively, among S. miltiorrhiza extract solutions. Notably, samples that exceeded the mean IC50 values had higher phenolic acid contents. A correlation analysis indicated a strong correlation between the antioxidant activities and phenolic acid contents. Caffeic acid, danshensu, rosmarinic acid, lithospermic acid and salvianolic acid B were major contributors to antioxidant activity. In conclusion, phenolic compounds were the predominant antioxidant components in the investigated plant species. These plants may be sources of potent natural antioxidants and beneficial chemopreventive agents.

Dioscorea polystachya, named Chinese yam, is widely cultivated as a functional food and natural medicine in China. There is currently little information about the chemical characteristics of Dioscorea polystachya in different organs (tuber cortex and tuber flesh) and at various ages. In this study, an ultra‐high‐performance liquid chromatography coupled to quadrupole time‐of‐flight mass spectrometry (UPLC‐QTOF/MS) was used to profile chemical compounds in Dioscorea polystachya. As a result, thirty‐eight compounds were detected in yam tuber cortex and tuber flesh. More compounds were detected in yam tuber cortex than in tuber flesh. Compounds such as dehydroepiandrosterone, allantoin and flavonoids were selected as biomarker candidates. Dehydroepiandrosterone was found more abundant in tuber flesh, while allantoin and flavonoids showed higher levels in tuber cortex. Furthermore, the levels of dioscin, malvalic acid and sucrose differed significantly among age groups and were highest in the tubers at 2 years. While the levels of allantoin, adenosine and glutamine increased with the growing years and were highest at 4 years. Thus, 2‐year old Dioscorea polystachya tubers could be harvested to prepare dioscin, malvalic acid and sucrose supplements. The 4‐year‐old Dioscorea polystachya tubers would be the best choice for obtaining a large amount of allantoin and adenosine in industrial production.

Background and Objective: Radix Salvia miltiorrhiza (RSM) has been used clinically for the prevention and treatment of cardiovascular diseases; therefore, it is important to strengthen its quality management. Considering multiple constituents when assessing RSM quality is essential. We established a simple, rapid method to identify and quantify the major bioactive constituents in RSM using ultra high performance liquid chromatography (UPLC) coupled to a triple quadruple mass spectrometry (QqQ-MS). Methods: We analyzed 17 markers from 50 batches of wild S. miltiorrhiza samples that were collected from different locations in China. The ultrasonic extracts of all samples were determined using the UPLC-QqQ-MS method and were assessed by hierarchical cluster analysis (HCA). Results: We used this method to analyze 50 sample batches of the 17 compounds and obtained results with excellent linearity (R2, 0.9915-0.9997), precision (relative standard deviation, RSD, 0.15-1.94%), repeatability (RSD, 1.28-4.71%), stability (RSD, 0.97-5.60%) and recovery (RSD, 0.305-6.40%). The hierarchical cluster analysis was used to classify the 50 samples based on the characteristics of the 17 compound markers. Conclusion: We demonstrated that the developed method was simple, reproducible and sensitive, and it is capable of systematic and scientific evaluation for quality control of RSM. The HCA clearly demonstated that the RSM samples from different locations were significantly different and the quality of wild Radix S. miltiorrhiza could generally be judged according to its geographical origin.