中国药业2024，Vol.33Issue(8)：27-31,5.DOI:10.3969/j.issn.1006-4931.2024.08.008
属性层次模型-熵权法联合正交试验优化黄芩药材高温瞬时灭菌工艺
Optimization of High-Temperature Instantaneous Sterilization Process of Scutellariae Radix by Attribute Hierarchy Model-Entropy Weight Method Combined with Orthogonal Test
摘要
Abstract
Objective To optimize the high-temperature instantaneous sterilization process of Scutellariae Radix.Methods Three batches of Scutellariae Radix fine powder before and after sterilization were taken,the relative weights of sterilization rate,transfer rate of baicalin and extraction rate were calculated by the attribute hierarchy model(AHM)-entropy weight method(EWM)with a discharge temperature of 35℃,and with the feeding rate,sterilization temperature,sterilization time as the investigation factors;the high-temperature instantaneous sterilization process of Scutellariae Radix was optimized by the L9(34)orthogonal test with the comprehensive score of the above three indicators as the investigation indicator,and then the verification test was conducted.Results The optimal process was as follows:the feeding rate was 120 kg/h,the sterilization temperature was 170℃,and the sterilization time was 6 s,with the discharge temperature of 35℃.After sterilization,the aerobic bacterial count,mold and yeast count in Scutellariae Radix decreased significantly,and the sterilization rate was greater than 99%;the transfer rate of baicalin and extraction rate were both greater than 95%;the baicalin content and extract test were similar to those before sterilization.Conclusion The optimal high-temperature instantaneous sterilization process of Scutellariae Radix is repeatable,and it has no obvious effect on the content of effective ingredients in Scutellariae Radix.关键词
属性层次模型/熵权法/正交试验/黄芩/高温瞬时灭菌/工艺优选Key words
attribute hierarchy model/entropy weight method/orthogonal test/Scutellariae Radix/high-temperature instantaneous sterilization/process optimization分类
医药卫生引用本文复制引用
乔晓芳,王迎举,伦琦星,陶海涛..属性层次模型-熵权法联合正交试验优化黄芩药材高温瞬时灭菌工艺[J].中国药业,2024,33(8):27-31,5.基金项目
河南省市场监督管理局科技计划项目[2023sj69]. （）
