Table 2.
Model | Time (h) | Linear Isotherm Regression | Nonlinear Isotherm Regression | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Parameters | r2 | χ2 | Parameters | r2 | χ2 | |||||
qm | KL | qm | KL | |||||||
Langmuir | 24 | 2.35627 | 0.06618 | 0.9531 | 0.8864 | 7.65490 | 0.01374 | 0.9262 | 0.1902 | |
48 | 2.34082 | 0.04904 | 0.9966 | 0.0594 | 4.52553 | 0.01758 | 0.9780 | 0.0498 | ||
96 | 2.62950 | 0.02242 | 0.9998 | 0.0019 | 2.44126 | 0.02518 | 0.9985 | 0.0018 | ||
144 | 2.50188 | 0.02127 | 0.9868 | 0.0597 | 2.89086 | 0.01908 | 0.9668 | 0.0413 | ||
Freundlich | n | KF | n | KF | ||||||
24 | 1.29702 | 0.43837 | 0.9311 | 7.6716 | 0.85574 | 0.04543 | 0.9548 | 0.4544 | ||
48 | 1.39179 | 0.41849 | 0.9924 | 6.8841 | 1.35220 | 0.12624 | 0.9885 | 0.0160 | ||
96 | 1.25565 | 0.31886 | 0.9922 | 9.4048 | 1.43487 | 0.09741 | 0.9910 | 0.0156 | ||
144 | 1.16918 | 0.29145 | 0.9748 | 10.8071 | 1.32003 | 0.07969 | 0.9581 | 0.0556 | ||
Koble-Corrigan | A | B | n | |||||||
24 | 0.03265 | −0.89004 | 0.02991 | 0.9721 | 0.0744 | |||||
48 | 0.16437 | −0.10717 | 0.45695 | 0.9928 | 0.0171 | |||||
96 | 0.05230 | 0.02496 | 1.08766 | 0.9988 | 0.0015 | |||||
144 | 0.02130 | 0.01346 | 1.47458 | 0.9719 | 0.0568 |