Table 3.
Models → | PFO | PSO | Weber—Morris | Boyd | ||||
---|---|---|---|---|---|---|---|---|
Statistical metrics ↓ | L | NL | L | NL | L | NL | L | NL |
Parameters → |
K1: 0.0012 qe: 84.32 |
K1: 0.044 qe: 3.49 |
K2: 0.022 qe: 3.233 |
K2: 0.0054 qe: 5.4342 |
Kid:0.415 | Kid:0.442 |
B: 0.0675 qe: 2.533 |
B: 0.068 qe: 2.210 |
R2 | 0.9368 | 0.9910 | 0.9623 | 0.9914 | 0.9796 | 0.9852 | 0.9515 | 0.9709 |
SAE | 64.835 | 27.126 | 47.137 | 25.581 | 53.080 | 51.808 | 164.801 | 133.266 |
SSE | 0.460 | 0.048 | 0.371 | 0.044 | 0.346 | 0.229 | 1.711 | 1.320 |
ARE | 1.758 | 0.524 | 1.622 | 0.514 | 1.622 | 1.372 | 3.410 | 3.292 |
RMSE | 0.339 | 0.109 | 0.305 | 0.105 | 0.294 | 0.239 | 0.654 | 0.574 |
**Linear (L). Non-linear (NL). Pseudo first order (PFO) and Pseudo second-order (PSO).
are the qe values of the experimental and predicted values, respectively.
p is the number of parameters. n is the number of experimental runs.
Pseudo-first-order model (PFO) & pseudo-second-order model (PSO).
Units: qe (mg/g), K1 (min−1), K2 (g mg−1 min-1), Kid (mg/g min0.5), Di (cm2).