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. 2016 Winter;15(1):3–22.

Table 5.

Tabulated statistical evaluation of the responses and validation of experimental design

A. Summary of each factor effect on responses Y 1 , Y 2 and Y3
FACTOR Y 1 Y 2 Y 3
Factor effect P value Factor effect P value Factor effect P value
X1 -0.020 0.0133 2.21 0.0013 0.13 0.0508
X2 -38.3 0.9756 1.68 0.0016 0.23 0.0128
X1X2 1.56 0.0034 -0.29 0.0036 -0.15 0.0673
X12 -.358 0.1064 -6.56 0.3303 0.20 0.0716
X22 -1.06 0.0281 -0.69 0.0003 0.21 0.7957
B. Model summary statistics for quadratic response surface model
RESPONSE FACTOR F-value P>F R 2 Adequate precision C.V
Y1 13.65 0.0133 0.9317 11.406 1.66
Y2 110.56 0.0013 0.9946 30.934 0.69
Y3 10.80 0.0391 0.9474 8.786 1.92
C. Validation of experimental design by evaluation of extra design check point formulation N10
Evaluation parameters Predicted value Actual value % Error Evaluation parameters Predicted value
Particle size (nm) 167.03 164.6 1.823 Particle size (nm) 167.03
% Entrapment efficiency 74.38 72.65 2.381 % Entrapment efficiency 74.38
% CDR after 12 hrs 91.39 91.23 0.175 % CDR after 12 hrs 91.39