Table 1.
The ANOVA results of modeling design.
| CQAs |
Rpre2 |
RMSEP (mg/mL) |
||||
|---|---|---|---|---|---|---|
| Source |
F value |
|||||
| Linear | 2FI | Quadratic | Linear | 2FI | Quadratic | |
| Model | 1.8915 | 9.27⁎⁎⁎ | 13.1393⁎⁎⁎ | 2.5354⁎ | 14.5006⁎⁎⁎ | 22.6199⁎⁎⁎ |
| A | 3.3506 | 8.26⁎ | 13.2131⁎⁎ | 3.8117 | 10.476⁎⁎ | 19.0088⁎⁎ |
| B | 1.5226 | 1.63 | 0.6095 | 4.9911⁎ | 18.1239⁎⁎ | 19.1375⁎⁎ |
| C | 1.3597 | 7.02⁎⁎ | 13.816⁎⁎⁎ | 1.7039 | 12.3366⁎⁎⁎ | 26.1679⁎⁎⁎ |
| D | 1.4018 | 12.3⁎⁎⁎ | 8.6467⁎⁎ | 1.3596 | 16.9293⁎⁎⁎ | 11.9931⁎⁎⁎ |
| AB | – | 4.71 | 4.0897 | – | 3.6734 | 2.8724 |
| AC | – | 4.8⁎ | 5.4169⁎ | – | 6.2963⁎⁎ | 6.3197⁎⁎ |
| AD | – | 2.83 | 2.495 | – | 3.0845 | 2.0682 |
| BC | – | 18.01⁎⁎⁎ | 17.1204⁎⁎⁎ | – | 22.7732⁎⁎⁎ | 22.465⁎⁎⁎ |
| BD | – | 5.84⁎⁎ | 7.1531⁎⁎ | – | 7.7059⁎⁎ | 9.3885⁎⁎ |
| CD | – | 5.64⁎⁎ | 7.7202⁎⁎ | – | 7.5474⁎⁎⁎ | 10.9737⁎⁎⁎ |
| A2 | – | – | 0.8682 | – | – | 0.0462 |
| B2 | – | – | 7.3065⁎ | – | – | 8.9445⁎ |
Linear refers to linear regression, 2FI refers to 2 factors international regression, Quadratic refers to Quadratic regression. Model refers to the relationship between Rpre2 or RMSEP and modeling parameters. A refers to latent factors of variable selection, B refers to latent factors of PLS model, C refers to spectral pre-processing method, and D refers to variable selection methods.
⁎
p < 0.05.
⁎⁎
p < 0.01.
⁎⁎⁎
p < 0.001.