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. 2019 Jun 20;55(6):294. doi: 10.3390/medicina55060294

Table 7.

Statistical Analysis—Plackett–Burman Design of experiment.

Factors Y1 (nm) Y2 (mV) Y3 (%) Y4
Coefficient p-Value Coefficient p-Value Coefficient p-Value Coefficient p-Value
α0 483.41 0.0269 −12.86 0.0279 63.93 0.0200 0.47 0.0469
X1 −16.59 0.2563 0.43 0.1323 −4.51 0.0098 0.052 0.4253
X2 45.53 0.0499 −0.077 0.5508 3.02 0.0214 −0.071 0.2875
X3 −81.08 0.0165 −3.01 0.0190 −5.33 0.0070 −0.28 0.0082
X4 96.76 0.0117 6.93 0.0083 −2.26 0.0373 −0.20 0.0264
X5 −73.76 0.0198 −2.16 0.0265 −1.95 0.0491 e e
X6 96.59 0.0117 −0.18 0.3000 e e −0.088 0.2064
X7 39.91 0.0633 −0.68 0.0842 1.50 0.0794 −0.097 0.1719
X8 e e 0.51 0.1112 −1.30 0.1021 0.069 0.2987

Y1—average particle size; Y2—Zeta-potential; Y3—encapsulation efficiency; Y4—polydispersity index; α0—constant; X1—docetaxel amount in organic phase (mg); X2—PLGA amount in organic phase (mg); X3—surfactant concentration in aqueous phase (%); X4—surfactant type; X5—size reduction process; X6—solvent type; X7—vortexing speed in emulsification step (rpm); X8—stirrer speed in hardening step (rpm); e—Factors were not modeled by software.