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Table 1 The experimental matrix of the modified CCC design

From: Perspectives in modeling and model validation during analytical quality by design chromatographic method evaluation: a case study

Run No. (A) Pump flow rate (mL/min) (B) Final strong solvent (%) (C) Oven temperature (°C) (D) EDTA additive concentration (mM) Predicted response variance (%)
1a 0.9 35.0 26.0 0.50 16.67
2b 0.8 33.0 28.0 0.45 10.80
3b 1.0 33.0 28.0 0.45 10.87
4b 0.8 37.0 28.0 0.45 10.87
5b 1.0 37.0 28.0 0.45 16.67
6b 0.8 33.0 28.0 0.55 16.85
7b 1.0 33.0 28.0 0.55 17.02
8b 0.8 37.0 28.0 0.55 17.02
9b 1.0 37.0 28.0 0.55 17.21
10d 0.8 33.0 28.0 0.45 10.80
11d 1.0 33.0 28.0 0.45 10.87
12d 0.8 37.0 28.0 0.45 10.87
13a 0.7 35.0 30.0 0.50 16.91
14a 1.1 35.0 30.0 0.50 17.14
15a 0.9 31.0 30.0 0.50 16.91
16a 0.9 39.0 30.0 0.50 17.14
17a 0.9 35.0 30.0 0.40 16.67
18a 0.9 35.0 30.0 0.60 17.41
19c 0.9 35.0 30.0 0.50 10.00
20c 0.9 35.0 30.0 0.50 10.00
21c 0.9 35.0 30.0 0.50 10.00
22b 0.8 33.0 32.0 0.45 16.85
23b 1.0 33.0 32.0 0.45 17.02
24b 0.8 37.0 32.0 0.45 17.02
25b 1.0 37.0 32.0 0.45 17.21
26b 0.8 33.0 32.0 0.55 17.32
27b 1.0 33.0 32.0 0.55 16.16
28b 0.8 37.0 32.0 0.55 16.16
29b 1.0 37.0 32.0 0.55 16.16
30a 0.9 35.0 34.0 0.50 17.41
Parameter ranges 0.7–1.1 33–37 26–34 0.4–0.6  
  1. Each run is labeled with the type of design point: a, star points; b, factorial points; c, triplicate replications at the center point (the nominal conditions); and d, model robustness points by run 10, 11, and 12, which are the duplicate replications of the factorial points by run 2, 3, and 4, respectively