食品与发酵工业 >

2024 , Vol. 50 >Issue 3: 268 - 275

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.033989

研究报告

基于层次分析法的罗汉果清咽通便双功能保健食品配方设计及“功效-频率-口感”多维度立体评价

  • 杨语哲 ,
  • 单东杰 ,
  • 姚鉴玲 ,
  • 吕芳 ,
  • 马嘉慕 ,
  • 宋若兰 ,
  • 钟祥健 ,
  • 董英 ,
  • 邓清月 ,
  • 李仙仙 ,
  • 和映玉 ,
  • 李瑞雯 ,
  • 折改梅
展开
  • (北京中医药大学 中药学院,北京,100029)
第一作者:本科生(折改梅研究员为通信作者,E-mail:shegaimei@126.com)

收稿日期: 2022-10-15

  修回日期: 2022-12-04

  网络出版日期: 2024-03-15

基金资助

桂林市技术创新引导计划项目(2020010902)

收起

Formula design of dual-function health food of Siraitiae Fructus and multi-dimensional evaluation of “efficacy-frequency-taste” based on analytic hierarchy process algorithm

  • YANG Yuzhe ,
  • SHAN Dongjie ,
  • YAO Jianling ,
  • LYU Fang ,
  • MA Jiamu ,
  • SONG Ruolan ,
  • ZHONG Xiangjian ,
  • DONG Ying ,
  • DENG Qingyue ,
  • LI Xianxian ,
  • HE Yingyu ,
  • LI Ruiwen ,
  • SHE Gaimei
Expand
  • (School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China)

Received date: 2022-10-15

  Revised date: 2022-12-04

  Online published: 2024-03-15

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摘要

该研究设计以罗汉果为核心的具有清咽润喉和润肠通便双功能的保健食品配方,并对其进行综合评价。通过收集整理含罗汉果的保健食品批文、专利和中成药信息建立数据库,使用关联规则算法(Apriori)、层次分析法(analytic hierarchy process, AHP)、熵权法、逼近理想解排序法(technique for order preference by similarity to solution, TOPSIS)等机器学习算法挖掘其中原料药味配方规律。围绕药味类别、归经和现有处方类型构建AHP评价体系计算原料功效得分,同时对原料口感、频率赋值,以此为依据筛选药味并结合中医药理论进行配方。利用AHP计算“君臣佐使”权重向量,配方中所选原料的3项得分分别按君臣佐使加权后求和,得到“配方功效-配方频率-配方口感”矩阵,利用熵权法处理矩阵后使用TOPSIS法进行综合评价,实现配方设计。收集数据建立清咽通便双功能原料数据库,得到的40味原料以补虚药与清热药居多。其中经AHP评价功效得分较高(>1.0)的共有16种不同原料,除罗汉果外排名前5的分别为甘草、蜂蜜、玉竹、陈皮和西洋参。在此基础上,结合药对组合情况与原料口感得分,筛选得到包括罗汉果在内的11味候选原料,组成10个可能配方。对其进行熵权-TOPSIS分析评价后,由罗汉果、胖大海、麦冬、蜂蜜、甘草组成的配方排名第1位且与其他配方评分相差较大。该研究以罗汉果为例探究保健食品配方设计方法并实现配方多维度立体评价,为后续保健食品研发提供新的思路和方向。

关键词： 保健食品; 罗汉果; 配方规律; 决策方法; 综合评价; 君臣佐使

本文引用格式

杨语哲 , 单东杰 , 姚鉴玲 , 吕芳 , 马嘉慕 , 宋若兰 , 钟祥健 , 董英 , 邓清月 , 李仙仙 , 和映玉 , 李瑞雯 , 折改梅 . 基于层次分析法的罗汉果清咽通便双功能保健食品配方设计及“功效-频率-口感”多维度立体评价[J]. 食品与发酵工业, 2024 , 50(3) : 268 -275 . DOI: 10.13995/j.cnki.11-1802/ts.033989

Abstract

This study took Siraitiae Fructus as an example to design and evaluate a healthy food formula with the functions of clearing the throat and promoting defecation. The existing health food approval document, patent, and Chinese patent medicine information were collected and sorted to establish a database. Then machine learning algorithms such as association rule algorithm (Apriori), analytic hierarchy process (AHP), entropy weight method (EWM), and ideal solution sorting method (technique for order preference by similarity to the solution, TOPSIS) were used to explore the regular relation among high-frequency ingredients which rooting from the databases. Under the guidance of the traditional Chinese medicine (TCD) theory, the evaluation system of raw materials efficacy was designed around the category, the meridian tropism and existing prescription types, and the score was calculated by using AHP. At the same time, the taste and frequency of raw materials were assigned the value to select food materials and design formulas. The three scores of the raw ingredients used in the formula were summed up after being weighted according to the traditional Chinese medicine theory of “monarch, minister, assistant, and guide” to construct the “efficacy-frequency-taste” formula matrix. Finally, the EWM-TOPSIS method was used to calculate the matrix score to realize the formula design evaluation. Data were collected to establish a bifunctional raw material database of clearing throat and promoting defecation, and most of the 40 raw materials obtained were tonify herbs and heat-clearing herbs. Among them, 16 food materials scored high (>1.0) by AHP, and the top five ones were Glycyrrhizae Radix et Rhizoma, Mel, Polygonati Odorati Rhizoma, Citri Reticulatae Pericarpium, and Panacis Quinquefolii Radix. On this basis, combining the quadratic combination of high-frequency functional ingredients and taste score, 11 raw materials including Siraitiae Fructus were selected, and 10 candidate formulations were formed based on the herb association, couplet herbs analysis, and taste score. EWM-TOPSIS was used to construct the formula score matrix and rank the results, and finally, the health food prescription optimized by scoring consisted of Siraitiae Fructus, Sterculiae Lychnophorae Semen, Ophiopogonis Radix, Mel, and Glycyrrhizae Radix et Rhizoma. This study took Siraitiae Fructus as an example to explore the design method of a health food formula and realize the multi-dimensional stereo evaluation of the formula, which provided new ideas and directions for subsequent health food research and development.

Key words： health food; Siraitiae Fructus; formulation regularity; decision method; comprehensive evaluation; monarch, minister, assist antandguide

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