• Title of article

    Formulation optimization of dihydroartemisinin nanostructured lipid carrier using response surface methodology

  • Author/Authors

    Zhang، نويسنده , , Xiaoyun and Liu، نويسنده , , Jianping and Qiao، نويسنده , , Hua and Liu، نويسنده , , Huan and Ni، نويسنده , , Jingman and Zhang، نويسنده , , Wenli and Shi، نويسنده , , Yanbin، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    9
  • From page
    120
  • To page
    128
  • Abstract
    Response surface methodology (RSM) using the central composite rotatable design (CCRD) model was used to optimize formulations of dihydroartemisinin nanostructured lipid carrier (DHA–NLC). The CCRD consisting of three-factored factorial design with three levels was used in this study. The drug encapsulation efficiency (EE), drug loading (DL) percentage and particle size of DHA–NLC were investigated with respect to three independent variables including DHA concentration (X1), lipid concentration (X2) and ratio of liquid lipid to total lipid (X3). The result showed that the optimal formulation could be obtained from this response surface methodology. The optimal formulation for DHA–NLC was composed of DHA concentration (X1) of 1 g/l, lipid concentration (X2) of 1% and ratio of liquid lipid to total lipid (X3) of 0.1:1. DHA–NLC under the optimized conditions gave rise to the EE of (98.97 ± 2.3) %, DL of (15.61 ± 1.9) %, mean diameter of (198 ± 4.7) nm, polydispersity index (PI) of 0.146 and zeta potential value of (− 21.6 ± 1.3) mV. TEM of the optimized NLC showed spherical particles. The in vitro experiments proved that DHA in the NLC released gradually over the period of 48 h. This study showed that the RSM–CCRD could efficiently be applied for the modeling of DHA–NLC.
  • Keywords
    Central composite rotatable design , Dihydroartemisinin , Nanostructured lipid carrier , Response surface methodology
  • Journal title
    Powder Technology
  • Serial Year
    2010
  • Journal title
    Powder Technology
  • Record number

    1694370