Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Colloids Surf B Biointerfaces. 2013 Dec 1;112:113-9. doi: 10.1016/j.colsurfb.2013.07.043. Epub 2013 Aug 2.
Palm kernel oil esters nanoemulsion-loaded with chloramphenicol was optimized using response surface methodology (RSM), a multivariate statistical technique. Effect of independent variables (oil amount, lecithin amount and glycerol amount) toward response variables (particle size, polydispersity index, zeta potential and osmolality) were studied using central composite design (CCD). RSM analysis showed that the experimental data could be fitted into a second-order polynomial model. Chloramphenicol-loaded nanoemulsion was formulated by using high pressure homogenizer. The optimized chloramphenicol-loaded nanoemulsion response values for particle size, PDI, zeta potential and osmolality were 95.33nm, 0.238, -36.91mV, and 200mOsm/kg, respectively. The actual values of the formulated nanoemulsion were in good agreement with the predicted values obtained from RSM. The results showed that the optimized compositions have the potential to be used as a parenteral emulsion to cross blood-brain barrier (BBB) for meningitis treatment.
采用响应面法（RSM），一种多元统计技术，对载有氯霉素的油橄榄核仁油酯纳米乳进行了优化。采用中心复合设计（CCD）研究了独立变量（油的用量、卵磷脂的用量和甘油的用量）对响应变量（粒径、多分散指数、Zeta 电位和渗透压）的影响。RSM 分析表明，实验数据可以拟合为二阶多项式模型。氯霉素负载纳米乳是通过高压匀质机制备的。优化的氯霉素载纳米乳的粒径、PDI、Zeta 电位和渗透压的响应值分别为 95.33nm、0.238、-36.91mV 和 200mOsm/kg。所制备的纳米乳的实际值与 RSM 得到的预测值吻合良好。结果表明，优化的配方有可能被用作一种静脉注射乳剂，以穿过血脑屏障（BBB），用于治疗脑膜炎。
