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. 2020 Apr 8;10(4):919–944. doi: 10.1007/s13346-020-00733-4

Table 1.

Central composite design (CCD) using selected independent variables X1 and X2

Exp. no. X1* X2* Y1 (nm) Y2# (%)
1 0.50 (− 1) 1.44 (0) 336 61.8 ± 0.43
2 2.75 (0) 1.44 (0) 290 72.5 ± 0.52
3 0.50 (− 1) 0.38 (− 1) 338.2 59.6 ± 0.34
4 2.75 (0) 0.38 (− 1) 390 74.3 ± 0.42
5 2.75 (0) 1.44 (0) 230 75.3 ± 0.56
6 5.00 (1) 1.44 (0) 573.1 66.4 ± 0.74
7 5.00 (1) 0.38 (− 1) 601 49.5 ± 0.83
8 2.75 (0) 1.44 (0) 335 75.7 ± 0.14
9 0.50 (− 1) 2.50 (1) 302 54.0 ± 0.64
10 5.00 (1) 2.50 (1) 550.6 72.3 ± 0.44
11 2.75 (0) 1.44 (0) 220 70 ± 0.49
12 2.75(0) 1.44(0) 236 73.4 ± 0.64
13 2.75 (0) 2.50 (1) 332.8 72.0 ± 0.44

X1 values 5 = (5/1), 2.75 = 3/1.09, 0.5 = 1/2; X2 values 2.5 = 5/2, 1.44 = 3.25/2.26, 0.38 = 1.5/4

X1, ratio of Compritol® 888 ATO/P 90H; X2, ratio of P 188/PEG 400; Y1, particle size; Y2, % entrapment efficiency; 1, 0, and − 1 represent the highest, middle, and lowest concentration levels of each independent variable, respectively

*Values in bracket indicate the coded levels, i.e., + 1 (highest), 0 (middle/center point), and − 1 (lowest level)

#Response was determined on three different occasions (n = 3) and is represented as mean ± SD (standard deviation)