Screening the statistical impact of some independent variables on the particle size and entrapment efficiency (EE) for the design and development of curcumin-loaded PLGA-Tf nanoparticles

Abstract

The present study provides the insight of statistical aspects of various independent variables like Tf-PLGA Curcumin ratio, stirring speed and emulsifying concentration over dependent variables like particle size and EE of the drug. Design Expert Version 13.1.5 was used to analyse the impact of independent variables over dependent variables. To study the effect of intendent variables over particle size, the valve Predicted R² was 0.9701 is in reasonable agreement with the Adjusted R² of 0.9907; i.e., the difference is less than 0.2. indicating that stirring speed have a great impact of particle size. While in another fact also shown the Adeq Precision measures the signal to noise ratio. A ratio greater than 4 is desirable and in respect of that the ratio of 9.630 indicates an adequate signal, i.e. it greatly gives impact on size of nanoparticles. In the case of entrapment efficacy (EE) the Predicted R² of 0.9892 is in reasonable agreement with the Adjusted R² of 0.9910; i.e. the difference is less than 0.2 which support the significance of the study and impact of Tf- PLGA curcumin ratio over EE. Adeq Precision measures the signal to noise ratio. A ratio greater than 4 is desirable but for this study the ratio was calculated as14.989 indicates an adequate signal. Therefore, the two independent variables like, Tf-PLGA Curcumin ratio and stirring speed have significant impact on EE and particle size of nanoparticles.
 Keywords: Tf-PLGA Curcumin ratio, stirring speed, EE, particle size, Adjusted R², Predicted R²,. Adeq Precision