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利用Box-Behnken效应面法优化氟苯尼考纳米混悬剂处方
引用本文:李天舒,高崇凯,易军,李晓芳,吴芳,方宇奇,陈晓蔚,罗颖薇,郭波红.利用Box-Behnken效应面法优化氟苯尼考纳米混悬剂处方[J].中国兽医科学,2020(2):247-253.
作者姓名:李天舒  高崇凯  易军  李晓芳  吴芳  方宇奇  陈晓蔚  罗颖薇  郭波红
作者单位:广东药科大学药学院;广东润华药业有限公司
基金项目:广东药科大学“创新强校工程”资助项目[广东省大学生创新创业训练计划项目(S201910573051)];广东省“扬帆计划”引进创新创业团队项目(2017YT05S137)
摘    要:为了优化制备氟苯尼考纳米混悬剂,使用介质研磨法制备氟苯尼考纳米混悬剂,以粒径、多分散系数为评价指标,采用Box-Behnken设计-效应面法评价氟苯尼考纳米混悬剂的处方,并进行验证,用HPLC法测定氟苯尼考纳米混悬剂的含量。结果显示,最优处方为药物浓度为10.12%、HPMC浓度为11.88 mg/m L、SDS浓度为1 mg/m L。制得的氟苯尼考纳米混悬剂的粒径、多分散系数、含量分别为(264.57±5.37)nm、0.176±0.004、(10.67±0.12)%,与模型理论预测值接近。结果表明,Box-Behnken效应面法适用于氟苯尼考纳米混悬剂的处方优化,且具有良好的预测性。

关 键 词:氟苯尼考  纳米混悬剂  Box-Behnken优化

Optimizations of the formulation of florfenicol nanosuspension by Box-Behnken design response surface method
LI Tian-shu,GAO Chong-kai,YI Jun,LI Xiao-fang,WU Fang,FANG Yu-qi,CHEN Xiao-wei,LUO Ying-wei,GUO Bo-hong.Optimizations of the formulation of florfenicol nanosuspension by Box-Behnken design response surface method[J].Veterinary Science in China,2020(2):247-253.
Authors:LI Tian-shu  GAO Chong-kai  YI Jun  LI Xiao-fang  WU Fang  FANG Yu-qi  CHEN Xiao-wei  LUO Ying-wei  GUO Bo-hong
Institution:(School of Pharmacy,Guangdong Pharmaceutical University,Guangzhou 510006,China;Guangdong Run Hua Pharmaceutical Co.,Ltd.,Jieyang 515500,China)
Abstract:To optimize the formulation,florfenicol nanosuspension was prepared by wet media milling method.The average particle size(PS),polydispersity index(PDI)were set as indices.Box-Behnken design response surace method was used to evaluate the formulation of florfenicol nanosuspension.The predictive data were validated.HPLC method was used to determine the content of florfenicol nanosuspension.The results show that the concentration of florfenicol nanosuspension,HPMC and SDS according to the optimized formulation was 10.12%,11.88 mg/m L and 1 mg/m L,respectively.The PS,PDI and content of florfenicol nanosuspension was(264.57±5.37)nm,0.176±0.004,(10.67±0.12)%,which was close to the theoretical prediction value of the model.In conclusion,Box-Behnken design response surface method was suitable for the formulation optimization of florfenicol nanosuspension and had good predictability.
Keywords:florfenicol  nanosuspension  Box-Behnken optimization
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