Box-Behnken设计-响应面法优化猪源纤维蛋白原冻干保护剂
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  • 英文篇名:Response surface optimization of porcine fibrinogen lyoprotectant
  • 作者:吴庆荣 ; 李健 ; 欧思琳 ; 吴云 ; 朱晋辉 ; 张俊辉 ; 万华印 ; 李茹冰
  • 英文作者:WU Qingrong;LI Jian;OU Silin;WU Yun;ZHU Jinhui;ZHANG Junhui;WAN Huayin;Li Rubing;Guangdong Pharmaceutical University;Department of Pharmacy,General Hospital of Guangzhou Military Command;Guangzhou Zhong wei biotechnology limited company Guangzhou;University of Chinese Academy of Sciences Shenzhen Hospital Pharmacy;
  • 关键词:纤维蛋白原 ; 响应面法 ; Box-Behnken ; 保护剂
  • 英文关键词:fibrinogen;;response surface methodology;;box-behnken;;lyoprotectant
  • 中文刊名:BLOO
  • 英文刊名:Chinese Journal of Blood Transfusion
  • 机构:广东药科大学;广州军区广州总医院药剂科;广州市众为生物科技有限公司;中国科学院大学深圳医院药学部;
  • 出版日期:2018-06-25
  • 出版单位:中国输血杂志
  • 年:2018
  • 期:v.31
  • 基金:军队后勤科研项目(CGZ16C009);; 广州市科技计划项目(201509010012,201704020173)
  • 语种:中文;
  • 页:BLOO201806010
  • 页数:6
  • CN:06
  • ISSN:51-1394/R
  • 分类号:38-43
摘要
目的通过Box-Behnken设计—响应面法优化猪源纤维蛋白原的冻干保护剂配比。方法以蔗糖、精氨酸和白蛋白为自变量,以粘合力和弹力的总评"归一值"作为因变量,通过对自变量各水平进行多元线性回归及二项式拟合,采用响应面法优选保护剂配方配比,并进行预测分析。结果精氨酸对纤维蛋白粘合剂力学性能的影响最为显著,其次是白蛋白。最优保护剂配方比为:蔗糖含量15.87 g·L-1、精氨酸含量7.87 g·L-1、白蛋白含量3.62 g·L-1。结论模型预测的粘合力值与真实值能较好的拟合,具有较高的精确度,说明该模型能有效地预测纤维蛋白胶体力学性能,优化所得的纤维蛋白原冻干处方工艺稳定可行。
        FG is a type of biological protein adhesive with broad application prospects,including fibrinogen freeze-dried powders and thrombin freeze-dried powders. This article explored the effect of protective agents on the mechanical properties of fibrin gels during freeze-drying of fibrinogen preparations. The response surface method Box-Behnken design was adopted.Sucrose,arginine and albumin were selected as the influencing factors while adhesion and elasticity were the objects of investigation. The comprehensive index OD was used as the response value,and the regression analysis was used to establish a Quadratic multivariate model. The results showed that arginine showed the most significant effect on bulk mechanical properties,followed by albumin. The optimal protective agent formula was: sucrose content 15. 87 g·L-1,arginine content 7. 87 g·L-1,albumin content 3. 62 g·L-1. The predicted adhesion value and the actual value of the model cross-matched well,indicating that the model can effectively predict the mechanical properties of the fibrin gel.
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