Response function
(p=3; n=2) |
Weighted (1/X) Quadratic Regression (within matrix) |
| Calibration range (m=5): 0.2-10 µg/ml |
| |
|
series 1 |
series 2 |
series 3 |
| Slope |
0.4921 |
0.4729 |
0.4972 |
| Intercept |
-0.05278 |
-0.04351 |
-0.05301 |
| r2 |
0.9939 |
0.9974 |
0.9958 |
| Trueness (p=3; n=2) |
| |
|
Absolutebias (µg/ml) |
Relative bias (%) |
Recovery (%) |
| 0.1 µg/ml |
0.004295 |
2.148 |
102.1 |
| 1 µg/ml |
0.05569 |
5.569 |
105.6 |
| 2.5 µg/ml |
0.07220 |
2.888 |
102.9 |
| 5 µg/ml |
0.3170 |
6.339 |
106.3 |
| 10 µg/ml |
-0.04940 |
-0.4940 |
99.51 |
| Precision (p=3; n=2) |
| |
|
Repeatability (RSD%) |
Intermediateprecision (RSD%) |
|
| 0.1 µg/ml |
6.822 |
6.822 |
| 1 µg/ml |
3.179 |
3.421 |
| 2.5 µg/ml |
1.892 |
1.892 |
| 5 µg/ml |
0.8241 |
1.447 |
| 10 µg/ml |
1.865 |
2.281 |
| Accuracy (p=3; n=2) |
| |
|
Beta-expectation tolerancelimits (µg/ml) |
Relative Beta-expectation tolerancelimits (%) |
|
| 0.1 µg/ml |
[ 0.1709 , 0.2377] |
[-14.54 , 18.84] |
| 1 µg/ml |
[ 0.9690 , 1.142] |
[-3.101 , 14.24] |
| 2.5 µg/ml |
[ 2.456 , 2.688] |
[-1.742 , 7.517] |
| 5 µg/ml |
[ 5.066 , 5.568] |
[ 1.325 , 11.35] |
| 10 µg/ml |
[ 9.325 , 10.58] |
[-6.751 , 5.763] |
| Linearity (p=3; n=2) |
| |
Range (µg/ml)
Slope
Intercept
r2 |
0.2-10
0.9973
0.08998
0.9979 |
|
LOD (µg/ml)
LOQ µg/ml) |
|
0.06061
0.2000 |
|
