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. 2020 Dec 1;25(23):5668. doi: 10.3390/molecules25235668

Table 2.

Dependent and independent variables in 32 factorial design used for the optimization of Curcumin-loaded proniosomes.

Formula Code Variables
Independent Dependent
X1 X2 Y1 * Y2 *
F1 −1 −1 89.06 ± 2.12 51.74 ± 1.23
F2 −1 0 81.11 ± 1.36 76.56 ± 1.41
F3 −1 1 68.61 ± 1.62 92.52 ± 2.69
F4 0 −1 94.11 ± 1.27 42.71 ± 1.74
F5 # 0 0 89.94 ± 2.31 70.89 ± 1.62
F6 0 1 70.11 ± 1.49 89.76 ± 1.44
F7 1 −1 81.89 ± 1.25 61.78 ± 1.38
F8 1 0 69.17 ± 1.41 84.26 ± 1.34
F9 1 1 60.33 ± 1.61 94.91 ± 2.18
Independent variables Low (−1) Medium (0) High (+1)
X1: Ratio of surfactant to CHOL 90:160 150:100 210:40
X2: Type of surfactant Span 60 Span 60 & Tween 80 Tween 80

Notes: Y1: EE (%), Y2: Q12h (%), * the data are expressed as mean ± SD (n = 3), # Optimized Formula, 1 g of maltodextrin per 1 mmole of the surfactant–lipid mixture. Abbreviations: Q12h, drug released after 12 h; EE, entrapment efficiency; CHOL, cholesterol.