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. 2018 Nov 1;24(21-22):1616–1630. doi: 10.1089/ten.tea.2017.0471

Table 2.

Nonlinear Regression Fit Parameter Estimates for rhBMP-2 Release

Formulation Short-term diffusion parameter,Inline graphic, ±SEM (1/min) Long-term diffusion parameter,Inline graphic, ±SEM (1/min) R2value of fit
KOS with rhBMP-2 1.43 × 10−3 ± 1.28 × 10−4*,# 1.17 × 10−2 ± 4.46 × 10−4*,# 0.99
70:30 KOS:KTN with rhBMP-2 2.02 × 10−3 ± 2.56 × 10−4* 9.61 × 10−3 ± 8.01 × 10−4*,# 0.98
50:50 KOS:KTN with rhBMP-2 1.90 × 10−3 ± 9.33 × 10−5* 1.08 × 10−2 ± 5.63 × 10−4*,# 0.99
30:70 KOS:KTN with rhBMP-2 1.79 × 10−3 ± 1.63 × 10−4* 1.14 × 10−2 ± 3.37 × 10−4*,# 0.99
KTN with rhBMP-2 3.15 × 10−3 ± 4.89 × 10−4* 9.41 × 10−2 ± 9.93 × 10−3* 0.97
Collagen with rhBMP-2 6.2 × 10−3 ± 5.16 × 10−4# 0.276 ± 0.011# 0.85

Based on model described by Fu and Kao.23 Owing to geometrical differences where δ is unknown in our system, the short- and long-term diffusion parameters were computed as a lumped parameter.

*

p < 0.05 compared with collagen with rhBMP-2.

#

p < 0.05 compared with KTN with rhBMP-2 as determined by ANOVA with Tukey's test for n = 3.