Table 1.
Calibration equations, R2 values, LOQ values, and matrix effects for Ochratoxin A detection by our optimized UPLC-MS/MS method.
| Matrix | Regression equation | R2 | Slop ratioa | Matrix effectb (%) | LOQ(µg kg−1) |
|---|---|---|---|---|---|
| Acetonitrile | y = 3417.5x − 7266.9 | R² = 0.9999 | 0.1 | ||
| Grape | y = 4558.9x + 800.35 | R² = 1 | 1.33 | 33 | 0.1 |
| Wine | y = 5406.2x + 8354.5 | R² = 0.9997 | 1.58 | 58 | 0.1 |
| Juice | y = 6261.2x + 10692 | R² = 0.9997 | 1.83 | 83 | 0.1 |
| Raisin | y = 6011.2x − 2406.7 | R² = 1 | 1.76 | 76 | 0.1 |
| Pork | y = 4309.4x + 1248.5 | R² = 1 | 1.26 | 26 | 0.1 |
| Porcine liver | y = 3206.1x − 3857.9 | R² = 0.9999 | 0.94 | −6 | 0.1 |
| Porcine Kidney | y = 5251.4x + 4169.7 | R² = 1 | 1.54 | 54 | 0.1 |
| Porcine fat | y = 5673.7x + 8237.3 | R² = 0.9999 | 1.66 | 66 | 0.1 |
| Chicken | y = 4910.9x − 740.04 | R² = 0.9999 | 1.44 | 44 | 0.1 |
| Eggs | y = 4723.7x + 13969 | R² = 0.9994 | 1.38 | 38 | 0.1 |
| Milk | y = 5459.1x + 10234 | R² = 0.9998 | 1.60 | 60 | 0.1 |