Table 2.
Quantification performance for the three saikosaponins and saikogenins in HBSS, and for the three saikogenins in FaSSIF (n = 5).
| Martix | Analyte | Linear regression equation | Regression coefficient (r) | Linear range (nM) | LLOQ (nM) | Conc. (nM) | Accuracy (RE, %) | Precision (RSD, %) |
Extraction recovery |
Matrix effects |
Dilution effects |
||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Intra-day | Inter-day | Mean (%) | RSD (%) | Mean (%) | RSD (%) | Mean (%) | RSD (%) | ||||||||
| HBSS | SSa | Y = 0.03095X + 0.06459 | 0.9998 | 0.5–200 | 0.5 | 1 | −5.32 | 6.82 | 10.09 | 90.55 | 7.52 | 100.57 | 5.23 | – | – |
| 10 | 8.90 | 3.06 | 1.70 | 96.30 | 6.06 | 96.18 | 4.63 | – | – | ||||||
| 100 | 7.42 | 5.04 | 0.53 | 86.01 | 5.26 | 103.18 | 7.26 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 92.02 | 7.29 | ||||||
| SSb2 | Y = 0.036081X + 0.01607 | 0.9987 | 0.5–200 | 0.5 | 1 | 0.28 | 8.60 | 4.59 | 92.31 | 10.70 | 99.36 | 12.63 | – | – | |
| 10 | 1.55 | 4.56 | 5.96 | 99.74 | 6.55 | 87.50 | 6.07 | – | – | ||||||
| 100 | 6.60 | 5.28 | 3.45 | 88.32 | 5.46 | 94.05 | 8.42 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 96.96 | 5.70 | ||||||
| SSd | Y = 0.04411X + 0.1241 | 0.9993 | 0.5–200 | 0.5 | 1 | 2.28 | 5.24 | 3.37 | 106.17 | 7.11 | 106.36 | 11.53 | – | – | |
| 10 | 5.79 | 6.47 | 2.83 | 99.46 | 5.01 | 89.23 | 7.03 | – | – | ||||||
| 100 | 2.60 | 4.82 | 0.14 | 104.53 | 6.17 | 87.55 | 3.88 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 91.67 | 4.33 | ||||||
| SGF | Y = 0.01284X + 0.01616 | 0.9999 | 5–2000 | 5 | 10 | −3.66 | 9.29 | 2.46 | 90.81 | 9.95 | 103.91 | 12.15 | – | – | |
| 100 | −4.64 | 9.56 | 3.31 | 93.02 | 3.91 | 108.51 | 8.11 | – | – | ||||||
| 1000 | 4.71 | 6.61 | 2.35 | 88.41 | 6.23 | 106.04 | 7.36 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 92.75 | 5.71 | ||||||
| SGD | Y = 0.01472X + 0.01332 | 0.9999 | 4–1600 | 4 | 8 | −5.96 | 12.30 | 4.19 | 87.14 | 11.34 | 103.20 | 13.30 | – | – | |
| 80 | 3.90 | 5.24 | 2.61 | 90.01 | 3.00 | 100.80 | 6.11 | – | – | ||||||
| 800 | 6.82 | 6.26 | 4.19 | 91.75 | 4.81 | 107.76 | 5.57 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 92.23 | 6.15 | ||||||
| SGG | Y = 0.008656X + 0.05515 | 0.9951 | 11–2200 | 11 | 22 | −10.39 | 12.17 | 7.02 | 91.49 | 2.30 | 107.99 | 7.71 | – | – | |
| 220 | 0.41 | 2.93 | 2.53 | 94.74 | 4.84 | 105.11 | 11.69 | – | – | ||||||
| 2200 | −4.56 | 7.32 | 7.49 | 105.46 | 4.29 | 108.83 | 5.55 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 100.17 | 4.64 | ||||||
| FaSSIF | SGF | Y = 0.01486X + 0.005919 | 0.9999 | 4–2000 | 4 | 10 | −6.85 | 6.63 | 2.88 | 107.62 | 4.34 | 89.78 | 8.40 | – | – |
| 140 | −1.97 | 2.73 | 3.77 | 106.00 | 11.62 | 99.82 | 7.28 | – | – | ||||||
| 1960 | 0.91 | 7.53 | 2.51 | 105.25 | 6.41 | 88.83 | 9.84 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 94.81 | 7.22 | ||||||
| SGD | Y = 0.01537X + 0.003904 | 0.9993 | 5–2000 | 5 | 10 | −6.92 | 12.57 | 2.66 | 87.17 | 7.36 | 106.90 | 12.23 | – | – | |
| 140 | −3.11 | 3.28 | 2.24 | 109.09 | 8.29 | 98.53 | 12.47 | – | – | ||||||
| 1960 | 0.52 | 8.33 | 0.52 | 106.66 | 5.10 | 85.88 | 8.85 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 97.84 | 5.39 | ||||||
| SGG | Y = 0.009429X + 0.05500 | 0.9987 | 10–2500 | 10 | 25 | −13.74 | 12.31 | 6.41 | 104.70 | 3.98 | 102.97 | 10.11 | – | – | |
| 250 | −3.47 | 3.36 | 0.78 | 108.73 | 6.30 | 97.34 | 9.04 | – | – | ||||||
| 2500 | −0.10 | 5.15 | 2.21 | 105.04 | 7.19 | 92.41 | 13.79 | – | – | ||||||
| 10,000 | – | – | – | – | – | – | – | 106.88 | 7.35 | ||||||
LLOQ: lower limit of quantification; Conc.: concentration; RSD: relative standard deviation; RE: relative error.