Table 1.
Compounds | Regression Equation | r2 | LOD (μg/mL) | LOQ (μg/mL) |
---|---|---|---|---|
1 | Y = 1.66e+000X +2.40e+000 | 0.9999 | 12 | 25 |
2 | Y = 1.72e+000X + 2.12e+000 | 0.9998 | 12 | 25 |
3 | Y = 1.71e+000X + 2.03e+000 | 0.9999 | 12 | 25 |
4 | Y = 1.73e+000X + 2.14e+000 | 0.9999 | 12 | 25 |
5 | Y = 1.68e+000X + 1.99e+000 | 0.9996 | 12 | 25 |
6 | Y = 1.68e+000X + 2.00e+000 | 0.9999 | 12 | 25 |
7 | Y = 1.70e+000X + 2.03e+000 | 0.9999 | 12 | 25 |
8 | Y = 1.35e+000X + 2.89e+000 | 0.9996 | 5 | 10 |
9 | Y = 1.35e+000X + 2.91e+000 | 0.9996 | 5 | 10 |
10 | Y = 1.35e+000X + 2.93e+000 | 0.9993 | 5 | 10 |
11 | Y = 1.30e+000X + 3.04e+000 | 0.9997 | 7 | 15 |
12 | Y = 1.77e+000X + 2.06e+000 | 0.9997 | 7 | 15 |