Table 2.
Linear regression data, LLODs, and accuracy for the eleven compounds.
| Compounds | Regression equation | r | Linearity range (ng∗mL−1) | LLOD (ng∗mL−1) | Accuracy (%) | RSD (%) |
|---|---|---|---|---|---|---|
| Paeoniflorin | Y = 0.0124x + 0.0522 | 0.9997 | 2.5–750 | 2.5 | 99.5 | 13 |
| Ecdysterone | Y = 0.0128x − 0.000782 | 0.9985 | 5–1500 | 5 | 100 | 6.3 |
| Amygdalin | Y = 0.016x + 0.1114 | 0.9976 | 10–3000 | 10 | 99.2 | 12 |
| Mulberroside A | Y = 0.0217x − 0.0373 | 0.9910 | 3–3000 | 3 | 92.3 | 14 |
| Caffeic acid | Y = 0.083x + 1.12 | 0.9993 | 3–3000 | 3 | 100 | 7.4 |
| Ferulic acid | Y = 0.00894x + 0.0224 | 0.9962 | 1.5–1500 | 1.5 | 91.4 | 5.4 |
| Salvianolic acid B | Y = 0.00541x − 0.0233 | 0.9972 | 10–3000 | 10 | 105 | 7.8 |
| Astragaloside IV | Y = 0.3x − 2.28 | 0.9982 | 10–3000 | 10 | 99.7 | 6.9 |
| Formononetin | Y = 0.00216x + 0.00183 | 0.9958 | 0.075–75 | 0.075 | 99.2 | 4.4 |
| Cryptotanshinone | Y = 0.0589x − 0.28 | 0.9916 | 0.075–75 | 0.075 | 98.3 | 4.4 |
| Tanshinone IIA | Y = 0.0387x − 0.0776 | 0.9975 | 0.3–300 | 0.3 | 101 | 3.5 |