Table 3. Method Models of CMAs Based on DoE from Optimization.
| CMAs | model coefficientsa | P-value | F-ratio | regression ANOVA statisticsb |
| Rv | +0.1725 | R2 = 0.9083 | ||
| –0.0194(A) | <0.0001 | 143.7438 | adjusted R2 = 0.8872 | |
| +0.0184(C) | <0.0001 | 129.3516 | F-ratio = 42.9426 | |
| +0.0111(D) | <0.0001 | 44.6169 | MS-LOF = 0.0231 | |
| +0.0143(B)2 | 0.0002 | 17.0421 | ||
| +0.0079(C)2 | 0.0185 | 6.0455 | ||
| –0.0114(D)2 | 0.0006 | 14.0420 | ||
| –0.0060(A × D) | 0.0035 | 9.6784 | ||
| –0.0041(C × D) | 0.0371 | 4.6598 | ||
| +0.0066(B × (D)2) | 0.0010 | 12.5398 | ||
| Rc1 | +2.4748 | R2 = 0.8092 | ||
| –1.1496(C) | <0.0001 | 29.6262 | adjusted R2 = 0.7651 | |
| –0.7667(D)2 | <0.0001 | 24.1305 | F-ratio = 18.3752 | |
| –0.2211(A × C) | 0.0343 | 4.8113 | MS-LOF = 0.0488 | |
| –0.1993(B × D) | 0.0477 | 4.1781 | ||
| –0.2914(C × D) | 0.0087 | 7.6448 | ||
| +0.4805(A × (B)2) | 0.0033 | 9.8201 | ||
| +0.6644((B)2 × C) | 0.0069 | 8.1271 | ||
| +0.7192((B)2 × D) | <0.0001 | 51.5833 | ||
| –0.5337(A × (D)2) | 0.0021 | 10.8327 | ||
| Rc2 | +1.2633 | R2 = 0.9766 | ||
| +0.1436(B) | <0.0001 | 36.3502 | adjusted R2 = 0.9697 | |
| +0.3315(C) | <0.0001 | 105.6963 | F-ratio = 140.4817 | |
| –0.3513(D) | <0.0001 | 160.2558 | MS-LOF = 0.0074 | |
| –0.0946(C)2 | 0.0007 | 13.8086 | ||
| +0.4552(D)2 | <0.0001 | 347.0844 | ||
| +0.0581(C × D) | 0.0006 | 14.0238 | ||
| –0.0671((A)2 × C) | 0.0453 | 4.2925 | ||
| –0.0784(A × (C)2) | <0.0001 | 26.6275 | ||
| –0.0845((C)2 × D) | 0.0121 | 6.9661 | ||
| –0.1703(B × (D)2) | <0.0001 | 35.5127 | ||
| –0.1759(C × (D)2) | <0.0001 | 33.6721 |
a
A = pump flow rate, B = final percent of mobile phase B, C = column temperature, D = pH.
b
MS-LOF = mean square lack-of-fit.