Table 1.
Protein | Array Format | One-site Langmuir | Two-site Langmuir | Sips Isotherm |
---|---|---|---|---|
FGF-2 | Macro spots |
KD = 1.6 nMb tmax = 1.3 nmc R2 = 0.98d |
NSd |
KDa = 1.6 nMb tmax = 1.3 nmc a = 1 R2 = 0.98 |
| ||||
FGF-2 | Microarrays |
KD = 1.6 nMb tmax = 1.3 nmc R2 = 0.82 |
KD1 = 1.6 nMb KD2 = 27.2 pM tmax1 = 0.51 nm tmax2 = 0.79 nm R2 = 0.98 |
KDa = 122.2 pM tmax = 1.3 nmc a = 0.52 R2 = 0.98 |
| ||||
VEGF | Microarrays |
KD = 100 pMb tmax = 0.8 nmc R2 = 0.97e |
KD1 = 100 pMb KD2 = 0.36 pM tmax1 = 0.57 nm tmax2 = 0.23 nm R2 = 0.99e |
KDa = 27.2 pM tmax = 0.8 nmc a = 0.53 R2 = 0.99 |
Determined by SPR.
Measured by spectroscopic ellipsometry for saturating concentrations of the protein. tmax = tmax1+ tmax2 was fixed at 1.3 nm for FGF-2 and 0.8 nm for VEGF, as measured by ellipsometry.
NS (Not Significant); for FGF-2 macro spot data a two-site based Langmuir model was fit and an F-test was utilized to statistically compare the two models.53 The analysis resulted in a P value of 0.0680; for a 99% confidence interval this indicates that there is not a significant difference between the one-site and the two-site-based Langmuir fits.
Similarly, an F-test was utilized to compare the one-site and two-site Langmuir fits for the VEGF microarray data. A P value of 0.0036 was obtained and at a 99 % confidence interval this indicated that the two-site based model was statistically better than the one-site model.