Table 3.
Matrix | Linear Regression Equation * | r2 |
---|---|---|
Rats | ||
Plasma | y = (0.016 ± 0.001) + (0.002 ± 0.003) | 0.998 ± 0.001 |
Brain | y = (0.020 ± 0.02) + (0.006 ± 0.003) | 0.996 ± 0.003 |
Liver | y = (0.020 ± 0.001) + (0.046 ± 0.008) | 0.999 ± 0.001 |
Kidney | y = (0.019 ± 0.001) + (0.043 ± 0.024) | 0.998 ± 0.001 |
Heart | y = (0.019 ± 0.001) + (0.013 ± 0.003) | 0.996 ± 0.005 |
Lung | y = (0.020 ± 0.01) + (0.056 ± 0.019) | 0.997 ± 0.002 |
Gastro-intestinal (GI) tract |
y = (0.020 ± 0.01) + (0.026 ± 0.005) | 0.997 ± 0.002 |
Beagle dogs | ||
Plasma | y= (0.023 ± 0.001) + (0.009 ± 0.008) | 0.998 ± 0.002 |
Cerebrospinal fluid (CSF) | y= (0.023 ± 0.001) + (0.002 ± 0.001) | 0.999 ± 0.001 |
Urine | y= (0.016 ± 0.001) − (0.063 ± 0.021) | 0.991 ± 0.0004 |
Feces | y= (0.022 ± 0.001) − (0.155 ± 0.252) | 0.995 ± 0.001 |
* In linear regression equations, y is the peak-area ratio of analytes to IS and x (ng/mL) is the plasma concentration of analyte.