摘要
通过对湘产大宗道地药材质量影响因素及现代品质评价技术进行文献研究,发现品种、种植、采收、产地初加工等因素对中药材质量影响较大。现代研究工作者在古代经验评价基础上增加红外指纹图谱、HPLC指纹图谱、DNA指纹图谱等现代技术用于湘产大宗道地药材品质评价,以全面反应湘产大宗道地药材内在信息。文献研究提示中药材生产实践中需甄别种苗基原种植良种、重视田间管理、适时采收、注重产地初加工,同时可利用红外指纹图谱、HPLC指纹图谱、DNA指纹图谱评价药材品质,从而提高湘产大宗道地药材质量、保证市场流通药材品质、扩大药农和企业经济效益。
The factors affecting the quality of large quantities of genuine Chinese medicinal materials produced in Hunan and modern quality evaluation techniques were studied.On the basis of ancient experience evaluation,modern researchers added INFRARED fingerprint,HPLC fingerprint,DNA fingerprint and other modern techniques to evaluate the quality of traditional Chinese medicine,so as to comprehensively reflect the internal information of medicinal materials.Literature study suggests Chinese herbal medicine production practice to identify seedlings base the original planting seeds,attaches great importance to the field management,timely harvest,pay attention to the origin of pretreating,also can use the INFRARED fingerprint,HPLC fingerprints,DNA fingerprint evaluation of medicinal materials quality,in order to improve the quality of large Chinese drugs,to ensure the quality of medicinal materials market circulation,expanding herbalist and enterprise economic benefits.
作者
周新茹
龙雨青
李灿
曾娟
曾梅
杨敏
付学森
童巧珍
周日宝
刘湘丹
HOU Xin-ru;LONG Yu-qing;LI Can;ZENG Juan;ZENG Mei;YANG Min;FU Xue-sen;TONG Qiao-zhen;ZHOU Ri-Bao;LIU Xiang-dan(School of Pharmacy,Hunan University of Chinese Medicine,Changsha Hunan 410208,China;Key Laboratory of Germplasm Resources and Standardized Planting of Hunan Bulk Genuine Medicinal Materials,Changsha Hunan 410208,China;Key Laboratory of Modernization of Traditional Chinese Medicine,Changsha Hunan 410208,China)
出处
《中医药导报》
2022年第5期105-109,共5页
Guiding Journal of Traditional Chinese Medicine and Pharmacy
基金
湖南省现代农业产业技术体系建设专项(湘农发〔2019〕105号)
国家现代农业产业技术体系(CARS-21)
湖南省教育厅资助科研项目(20A383,19A367)
湖南省一流学科中药学(校行科字〔2018〕3号)
2020年湖南省一流专业建设点:中药资源与开发
湖南中医药大学研究生创新课题(2021CX80)。
关键词
大宗道地药材
湖南
质量影响因素
品质评价
指纹图谱
综述
bulk authentic medicinal materials
Hunan
quality influencing factors
quality evaluation
fingerprint
review
