基于信息熵理论和反向传播人工神经网络优选人参真空冷冻干燥工艺  

Optimization of vacuum freeze-drying process of ginseng based on information entropy theory and artificial neural network

作　　者：孟灵旭 张静[1] 张洪涛 孟相俊 朱正华 张啸环[1] MENG Ling-xu;ZHANG Jing;ZHANG Hong-tao;MENG Xiang-jun;ZHU Zheng-hua;ZHANG Xiao-huan(School of Pharmacy,Changchun University of Traditional ChineseMedicine,Changchun 130117,China)

机构地区：[1]长春中医药大学药学院,吉林长春130117

出　　处：《时珍国医国药》2023年第1期91-95,共5页Lishizhen Medicine and Materia Medica Research

基　　金：吉林省中药饮片炮制规范项目(JLPZGF-2020-098)。

摘　　要：目的基于信息熵理论和反向传播人工神经网络(BP-ANN)结合正交试验优选人参片的真空冷冻干燥工艺。方法采用单因素及正交试验法考察预冻温度、时间、切片厚度、主干燥温度、时间、压力等因素;外观性状通过对人参粉末色度值(L、a、b)进行测定,将冻干人参片的外观性状、失水率、人参皂苷Rg1、Re、Rb1含量、浸出物含量以信息熵计算权重系数并加权作为综合评分(M);再采用BP-ANN技术优化冻干工艺。结果人参片的最佳冻干工艺为切片厚度2~4mm;主干燥温度-10℃、压力0.70mbar、时间≥8h。结论该工艺稳定可行,得到的人参片外观优美,有效成分高,可为工业化生产提供理论依据。Objective To optimize the best Vacuum freeze-drying process of ginseng slices by orthogonal experiment based on information entropy theory and artificial neural network(BP-ANN).Methods Factors such as pre-freezing temperature,time,slice thickness,main drying temperature,time and pressure were investigated by single factor and orthogonal test.Appearance traits Were measured by the chromaticity values of ginseng powder(L,A,B);The appearance,water loss rate,ginsenoside Rg1,Re,Rb1 contents and extract contents of freeze-dried ginseng slices were calculated by information entropy and weighted as a comprehensive score(M).BP-ANN technology was used to optimize the lyophilization process.Results The best freeze-drying technology of ginseng slices was section thickness of 2~4mm、Main drying temperature-10℃、pressure 0.70mbar、time≥8h.Conclusion The process is stable and feasible,the ginseng slices have beautiful appearance and high effective components and this research can provide the basis for industrial production.

关 键 词：真空冷冻干燥 人参 色度 信息熵 人工神经网络 

分 类 号：R283[医药卫生—中药学]