Название: Oil-in-Water Nanosized Emulsions for Drug Delivery and Targeting
Автор: Tamilvanan Shunmugaperumal
Издательство: John Wiley & Sons Limited
Жанр: Химия
isbn: 9781119585251
isbn:
TABLE 2.6. Independent and Dependent (Response) Variables: Face‐Centered Central Composite Design (CCD) Scheme
Run | Type | Critical Process Parameters (CPPs, also Called as Independent Variables) | Critical Quality Attributes (CQAs, also Called as Dependent Variables) | ||||
---|---|---|---|---|---|---|---|
Castor Oil (ml) | Chitosan (mg) | Poloxamer (mg) | MPS (nm) | PDI | ZP (mV) | ||
1 | Axial | 2 | 12 | 87.5 | 676.4 | 0.655 | 27.6 |
2 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
3 | Factorial | 1 | 18 | 75 | 247.6 | 0.376 | 24.6 |
4 | Axial | 1.5 | 12 | 75 | 396.4 | 0.275 | 35.5 |
5 | Axial | 1.5 | 18 | 87.5 | 449.4 | 0.661 | 29.1 |
6 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
7 | Factorial | 2 | 6 | 100 | 417.1 | 0.62 | 17.1 |
8 | Factorial | 2 | 18 | 100 | 438.1 | 0.469 | 23.2 |
9 | Factorial | 2 | 6 | 75 | 390.5 | 0.438 | 28.5 |
10 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
11 | Axial | 1.5 | 12 | 100 | 441.5 | 0.488 | 18.8 |
12 | Axial | 1 | 12 | 87.5 | 374.2 | 0.435 | 33.6 |
13 | Axial | 1.5 | 6 | 87.5 | 333.9 | 0.408 | 30.6 |
14 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
15 | Factorial | 1 | 6 | 75 | 240.1 | 0.287 | 17.9 |
16 | Factorial | 1 | 6 | 100 | 447.6 | 0.676 | 15.6 |
17 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
18 | Factorial | 1 | 18 | 100 | 453.4 | 0.62 | 25.1 |
19 | Factorial | 2 | 18 | 75 | 492.8 | 0.537 | 20.9 |
20 | Center | 1.5 | 12 | 87.5 | 609.8 | 0.655 | 27.2 |
MPS, mean particle size; PDI, polydispersity index; ZP, zeta potential.
Each row indicates an experiment while the columns present the composition and the critical quality attributes (CQAs) of the non‐phospholipid‐based topical ophthalmic emulsions.
The search for design space and optimized emulsion formula was carried out by numerical and graphical techniques using the software. The interaction effect of the CPPs on the CQAs was visualized using the response surfaces and 3D contour plots of the fitted polynomial regression СКАЧАТЬ