摘要
目的:质量等级划分是实现优质优价的基础,本研究旨在建立基于大数据的中药材和饮片质量等级评价策略与方法。方法:通过收集Web of Science数据库中的文献数据和实验室测定数据,构建了三七质量数据库。采用总和评分法获得各样本数据的得分,随后运用核密度估计法来识别数据密集区域,并结合帕累托原则划分中药质量等级,以确保质量评级结果的客观性和准确性。结果:共收集28篇文献,涵盖336条相关数据。据此,对实验室测定的11批三七样品进行了质量等级评价。结论:本研究提出的基于大数据的质量评价策略,具有可扩展性、客观性强等特点,为中药材和饮片的质量控制和管理提供了科学、合理且可行的方法。
Objective:To establish a strategy and method for evaluating the quality grade of Chinese herbal medicines and decoction pieces based on big data,aiming to achieve high quality and good price.Methods:Data from literature sources in the Web of Science database and laboratory measurements were collected to construct a quality database of Notoginseng Radix et Rhizoma.The sum scoring method was used to obtain the scores of each sample data.Then,the kernel density estimation method was used to identify data-intensive area.Additionally,the Pareto principle was employed to ensure the objectivity and accuracy of the quality grading results.Results:A total of 28 literatures were collected,covering 336 relevant data.Based on this,the quality grades of 11 batches of Notoginseng Radix et Rhizoma samples from the laboratory were evaluated.Conclusion:The big data-based quality evaluation strategy proposes in this study features scalability and strong objectivity,providing a scientific,rational,and feasible method for the quality control and management of Chinese herbal medicines and decoction pieces.
作者
洪亮
钟如此
赵静
李绍平
HONG Liang;ZHONG Ru-ci;ZHAO Jing;LI Shao-ping(State Key Laboratory of Quality Research in Chinese Medicine,University of Macao,Macao 999078,China;Macao Centre for Testing of Chinese Medicine,University of Macao,Macao 999078,China;Department of Pharmaceutical sciences,Faculty of Health Sciences,University of Macao,Macao 999078,China)
出处
《药物分析杂志》
北大核心
2025年第4期663-670,共8页
Chinese Journal of Pharmaceutical Analysis
基金
澳门科学技术发展基金项目(0075/2022/A、028/2022/ITP和0005/2024/AKP)
珠海市社会发展领域科技计划项目(2220004000117)
澳门大学科学研究基金项目(MYRG-GRG2023-00082-ICMS-UMDF和CPG2024-00011-ICMS)。
关键词
三七
中药材
饮片
大数据
质量等级评价
核密度估计
帕累托原则
Notoginseng Radix et Rhizoma
Chinese herbal medicines
decoction pieces
big data
quality grade evaluation
kernel density estimation
Pareto principle
作者简介
第一作者:洪亮,Tel:(+853)65397106,E-mail:yc07543@um.edu.mo;第一作者:钟如此,Tel:(+853)63955116,E-mail:yc47536@um.edu.mo;通信作者:李绍平,Tel:(+853)88224692,E-mail:lishaoping@hotmail.com;通信作者:赵静,Tel:(+853)88224873,E-mail:zhaojing.cpu@163.com。
