Table 3.
Analyte | Regressive equation a | r | Linear range (ng·mL−1) | LLOD a (ng·mL−1) | LLOQ b (ng·mL−1) |
---|---|---|---|---|---|
MA | y = 135.01x + 309.64 | 0.9993 | 1.41–501.00 | 0.45 | 1.41 |
AC | y = 54.337x – 21.315 | 0.9999 | 1.20–396.80 | 0.39 | 1.20 |
HA | y =148.34x – 130.21 | 0.9999 | 1.92–533.18 | 0.65 | 1.92 |
BMA | y = 6385.8x + 1390.3 | 0.9984 | 1004.00–20080.00 | 0.82 | 4.28 |
BAC | y = 15.025x + 314.98 | 0.9989 | 1.99–2490.00 | 0.54 | 1.99 |
BHA | y = 17.273x + 129.08 | 0.9993 | 2.02–1518.00 | 0.51 | 2.02 |
a The regression equations were presented as y = ax + by and x were defined as peak area and concentrations of analyte, respectively; b R = correlation coefficient, n = 6.