摘要
目的:探讨车前子2个基源种子、葱子和韭菜子等4种种子类药材生药学鉴定方法,将鉴定特征数字化。方法:运用体式显微镜、光学显微镜等仪器设备从外观性状(正面观、底面观、脐面观、表面特征)、内部结构(横剖面、纵剖面)及显微特征(横切面、粉末)对车前子等4种药用植物种子进行深入的性状和显微鉴别研究,初步探讨车前子等4种药用植物种子的鉴别特征,并用数字化的形式对鉴别点进行表征。结果:车前子等4种药用植物种子可根据外观性状、内部结构及显微特征等进行鉴别。结论:本研究为车前子等4种种子类药材的品种鉴定奠定基础,并为这4种药用植物种子的监督检验和标准修订提供参考,也为种子类药材的数字化表征提供参考。
Objective:To explore the method of pharmacognosic identification of four medicinal seeds,such as Plantaginis Semen from two kinds of original plant,Allii Fistulosi Semen,Allii Tuberosi Semen,and to digitize the identification characteristics.Methods:The seeds of the four medicinal plants were studied by means of type microscope and light microscope,including the appearance(positive view,bottom view,hilum view and surface feature),internal morphology(cross profile and longitudinal profile)and the characters of micromorphology(transverse section,powder).The characteristics of the four medicinal seeds were summarized,and the identification points were characterized by digital method.Results:The seeds of the four medicinal plants could be identified according to the appearance,internal morphology and the characters of micromorphology.Conclusion:This study lays a foundation for the variety identification and provides reference for the standard formulation and quality control of the four medicinal seeds.It also provides ideas for digital characterization of seed medicinal materials.
作者
马敏
康帅
马鑫
宁红婷
罗晋萍
张南平
马双成
MA Min;KANG Shuai;MA Xin;NING Hong-ting;LUO Jin-ping;ZHANG Nan-ping;MA Shuang-cheng(Shanxi Inspection and Testing Center,Taiyuan 030001,China;National Institutes for Food and Drug Control,NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine,Beijing 100050,China)
出处
《药物分析杂志》
CAS
CSCD
北大核心
2024年第7期1246-1254,共9页
Chinese Journal of Pharmaceutical Analysis
基金
中国食品药品检定研究院关键技术研究基金(GJJS-2022-10-1,GJJS-2022-10-2)。
关键词
车前子
平车前
葱子
韭菜子
生药学
性状鉴别
显微鉴别
数字化
Plantaginis Semen
Plantago depressa Willd.
Allii Fistulosi Semen
Allii Tuberosi Semen
pharmacognosy
macroscopic identification
microscopic identification
digitization
