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. 2022 Jul 6;16:100349. doi: 10.1016/j.mtbio.2022.100349

Table 2.

Design of experiments using the RSM method to optimize the niosomal formulation of Epirubicin.

Run Levels of independent variables
Dependent variables
Lipid (μmol) Surfactant: Cholesterol (molar ratio) Surfactant type Cholesterol (mg) Surfactant (mg) Size (nm) PDI Entrapment Efficiency (EE) (%)
1 250 1 Span 60 48.33 53.83 157.4 0.197 77.96
2 200 1 Span 80 38.67 42.86 190.7 0.211 71.53
3 300 2 Span 80 38.28 86.15 271.2 0.335 82.1
4 200 1 Span 20 38.67 34.65 189.3 0.289 70.22
5 250 1 Span 80 48.33 53.58 175.9 0.208 78.24
6 250 2 Span 20 31.90 58.03 264.5 0.367 71.31
7 250 0.5 Span 80 64.76 35.36 267.5 0.289 74.53
8 250 0.5 Span 60 64.76 35.53 255.3 0.242 68.95
9 250 1 Span 80 48.33 53.58 186.3 0.229 75.41
10 300 0.5 Span 80 77.72 42.43 291.2 0.321 62.9
11 300 2 Span 20 38.28 69.64 282.9 0.321 75.36
12 300 1 Span 80 58.00 64.29 250.1 0.264 77
13 300 2 Span 60 38.28 86.55 284.1 0.334 80.35
14 200 1 Span 60 38.67 43.06 169.3 0.219 66.4
15 200 2 Span 80 25.52 57.43 228.3 0.259 71.53
16 200 0.5 Span 60 51.81 28.42 271.2 0.345 69.32
17 250 1 Span 20 48.33 43.31 205.8 0.189 69.59
18 250 1 Span 60 48.33 53.83 165.3 0.151 81.19
19 250 1 Span 20 48.33 43.31 201.4 0.229 67.18
20 300 1 Span 60 58.00 64.59 240.1 0.225 83.23
21 200 0.5 Span 20 51.81 22.87 288.9 0.315 62.82
22 250 2 Span 80 31.90 71.79 224.6 0.219 72.32
23 250 1 Span 80 48.33 53.58 198.3 0.258 73.27
24 300 0.5 Span 60 77.72 42.63 254.3 0.389 69.83
25 250 2 Span 60 31.90 72.13 223.7 0.185 73.89
26 250 0.5 Span 20 64.76 28.58 315.8 0.374 68.48
27 200 2 Span 20 25.52 46.43 227.1 0.23 72.03
28 250 1 Span 20 48.33 43.31 196.4 0.195 64.64
29 200 0.5 Span 80 51.81 28.29 301.2 0.328 72.32
30 250 1 Span 60 48.33 53.83 183.5 0.184 82.54
31 300 0.5 Span 20 77.72 34.30 326.1 0.365 67.32
32 200 2 Span 60 25.52 57.70 209.8 0.175 76.15
33 300 1 Span 20 58.00 51.97 231.7 0.286 71.85