中药材的不同产地鉴别技术研究概况  

Survey on identification techniques of Traditional Chinese medicinal materials from different regions

作　　者：杜玉洁 林永强 王姝麒[3] 刘青芝 郭东晓 DU Yujie;LIN Yongqiang;WANG Shuqi;LIU Qingzhi;GUO Dongxiao(Shandong University of Traditional Chinese Medicine,Jinan 250355,China;NMPA Key Laboratory for Quality Evaluation of Gelatin Products,Shandong Engineering Laboratory for Standard Innovation and Quality Evaluation of TCM,Shangdong Engineering Research Center for Generic Technologies of Traditional Chinese Medicine Formula Granules,Shandong Institute for Food and Drug Control,Jinan 250101,China;Shandong University,Jinan 250012,China)

机构地区：[1]山东中医药大学,山东济南250355 [2]山东省食品药品检验研究院,国家药品监督管理局胶类产品质量评价重点实验室,山东省中药标准创新与质量评价工程实验室,中药配方颗粒共性技术山东省工程研究中心,山东济南250101 [3]山东大学,山东济南250012

出　　处：《药学研究》2024年第10期1008-1014,共7页Journal of Pharmaceutical Research

基　　金：国家重点研发计划-中医药现代化专项(No.2023YFC3504100);山东省重点研发计划(重大科技创新工程)项目(No.2021CXGC010511);山东省技术创新项目(No.202350100442);济南市“新高校20条”项目科研带头人工作室(No.202228096)。

摘　　要：目的探讨中药材不同产地鉴别技术的研究现状和发展趋势,为中药材产地研究拓展思路。方法以“中药”“产地”“鉴别”等为关键字,在中国知网、维普网、PubMed、Web of Science等数据库中查询近10年发表的相关研究论文,并以“不同产地”和“鉴别技术”为主旨进行文献综述。结果中药材的不同产地鉴别技术包括性状与显微鉴别、理化鉴别、指纹图谱技术、DNA分子标记鉴别、生物效价评价和结合计算机算法的人工智能鉴别技术等多种方法,其中经验鉴别、显微鉴别和一般理化鉴别等传统鉴别方法简便易行,但依赖经验、专属性差;光谱法、指纹图谱、DNA标记技术等方法用于中药材产地鉴别克服了以上缺点,准确可靠、操作简便;结合计算机算法的人工智能鉴别技术更加准确高效,极大地降低了人工和时间成本,将成为未来发展的重要方向。结论中药材的不同产地鉴别存在一定的难度和不确定性,可以结合多种方法进行综合鉴别,发挥每种鉴别方法的优势,以确保结果的准确性。未来,中药材鉴别将更加智能化和自动化,利用人工智能、机器学习等技术可以提高鉴别效率和准确性。Objective To explore the current research status and development trends of different origin identification techniques for traditional Chinese medicine materials(TCMM),and to expand the research scope for TCMM origin studies.Methods Using keywords such as"TCMM","origin",and"identification",a literature review was conducted on relevant research papers published in recent 10 years in databases such as CNKI,VIP Information,PubMed,and Web of Science.The focus of the literature review was on different origin identification techniques.Results Different origin identification techniques for TCMM include a variety of methods such as morphological and microscopic identification,physical and chemical identification,fingerprint technology,DNA molecular marker identification,bioactivity evaluation,and artificial intelligence identification techniques combined with computer algorithms.Traditional identification methods such as morphological identification,microscopic identification,and general physical and chemical identification are simple and easy to perform,but rely on experience and have poor specificity.Methods such as spectroscopy,fingerprint analysis,and DNA marker technology have overcome the above shortcomings and are accurate,reliable,and easy to operate.Artificial intelligence identification techniques are more accurate and efficient,greatly reducing labor and time costs.Conclusion There are certain difficulties and uncertainties in identifying the different origins of TCMM.Therefore,multiple Methods can be combined for comprehensive identification,leveraging the advantages of each identification method to ensure accurate results.In the future,TCMM identification will become more intelligent and automated,utilizing artificial intelligence,machine learning,and other technologies to improve identification efficiency and accuracy.

关 键 词：中药材 产地 鉴别技术 质量控制 指纹图谱 研究概况 

分 类 号：R282.5[医药卫生—中药学]