Table 2.
Validation parameters of the developed SFC-MS method.
| Analytes | Linear regression data |
LOD (ng/mL) | LOQ (ng/mL) | Precision (%RSD, n=6) |
Stability (%RSD, n=6) | Recovery (%, n=6) (%RSD) | |||
|---|---|---|---|---|---|---|---|---|---|
| Regression curve | Range (ng/mL) | r | Intra-day | Inter-day | |||||
| Leu | Y =1×1010 X +380949 | 4.5-910 | 0.997 | 1.42 | 4.53 | 2.39 | 2.92 | 2.41 | 105.62 (1.09) |
| Val | Y=9×109 X+1×106 | 28.5-5710 | 0.997 | 8.92 | 28.55 | 1.52 | 1.81 | 2.63 | 100.85 (1.08) |
| GABA | Y=1×1010 X+826154 | 9.1-1830 | 0.996 | 2.85 | 9.11 | 2.56 | 2.94 | 2.12 | 92.20 (0.82) |
| Phe | Y=2×1010 X+1×106 | 9.6-1930 | 0.997 | 3.02 | 9.67 | 0.65 | 2.65 | 1.01 | 95.95 (0.32) |
| Gly | Y=1×109 X+35394 | 47.0-9400 | 0.999 | 14.69 | 47.0 | 2.08 | 2.10 | 2.20 | 96.95 (0.28) |
| The | Y=7×1010 X+3×107 | 46.0-9250 | 0.993 | 1.44 | 4.62 | 1.25 | 2.99 | 2.52 | 107.09 (1.20) |
| Thr | Y=1×109 X+157293 | 9.1-1820 | 0.996 | 2.84 | 9.10 | 2.09 | 1.82 | 2.57 | 97.74 (0.56) |
| Ser | Y=1×109 X+146449 | 26.0-5290 | 0.998 | 8.28 | 26.50 | 0.59 | 2.45 | 2.58 | 100.87 (0.25) |
| Glu | Y=2×1010 X+2×106 | 22.5-4500 | 0.995 | 7.03 | 22.50 | 2.57 | 2.29 | 2.78 | 92.97 (0.26) |
| Asp | Y=2×109 X+347536 | 23.6-4727 | 0.996 | 7.38 | 23.60 | 2.52 | 1.91 | 2.88 | 97.84 (1.23) |
| His | Y=1×1010 X+7×106 | 46.0-9290 | 0.995 | 13.59 | 46.50 | 2.97 | 2.31 | 1.86 | 91.95 (0.26) |