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. 2019 Apr 29;27(6):778–790. doi: 10.1016/j.jsps.2019.04.014

Table 3.

Nanoemulsion suggested by “Design Expert” software at independent variables and their responses.

Formulation code Independent variables Dependent variables
Coded factors
Observed responses
Predicted responses
X1 X2 X3 Y1 Y2 Y3 Y1 Y2 Y3
ENE1 5 30 40 209.47 ± 12.78 0.511 ± 0.029 71.10 ± 1.59 212.87 0.513 69.66
ENE2 10 30 40 223.99 ± 13.87 0.449 ± 0.028 64.33 ± 1.51 219.17 0.461 66.09
ENE3 5 40 40 280.99 ± 15.89 0.459 ± 0.029 60.97 ± 1.49 278.51 0.474 60.10
ENE4 10 40 40 313.01 ± 18.27 0.572 ± 0.034 58.63 ± 1.48 318.68 0.581 57.70
ENE5 5.5 35.5 59 79.92 ± 6.33 0.229 ± 0.019 98.88 ± 1.31 78.65 0.237 99.75
ENE6 10 30 60 141.01 ± 9.83 0.264 ± 0.026 81.44 ± 1.01 148.75 0.271 81.88
ENE7 5 40 60 98.32 ± 8.16 0.281 ± 0.027 96.46 ± 1.16 108.92 0.280 93.69
ENE8 10 40 60 149.62 ± 8.64 0.404 ± 0.035 90.10 ± 0.98 151.50 0.411 90.40



Axial Points
ENE9 3.2955 35 50 56.23 ± 5.10 0.249 ± 0.019 95.98 ± 1.17 52.48 0.251 98.26
ENE10 11.7045 35 50 97.32 ± 7.12 0.319 ± 0.021 93.69 ± 1.03 93.58 0.318 92.48
ENE11 7.5 26.5910 50 269.27 ± 16.15 0.459 ± 0.030 60.18 ± 1.03 268.13 0.465 59.89
ENE12 7.5 43.4090 50 332.27 ± 19.61 0.558 ± 0.039 56.66 ± 1.16 325.64 0.550 59.02
ENE13 7.5 35 33.1821 310.98 ± 16.45 0.602 ± 0.049 53.27 ± 0.98 312.42 0.587 54.06
ENE14 7.5 35 66.8179 119.44 ± 9.62 0.261 ± 0.029 94.89 ± 1.31 110.59 0.265 95.59



Centre Points
ENE15 7.5 35 50 130.97 ± 7.69 0.3180 ± 0.018 90.15 ± 1.10 136.13 0.320 90.02
ENE16 7.5 35 50 135.92 ± 8.95 0.3200 ± 0.017 90.15 ± 0.96 136.13 0.320 90.02
ENE17 7.5 35 50 135.92 ± 8.95 0.3200 ± 0.017 90.15 ± 0.96 136.13 0.320 90.02