红外与毫米波学报2025，Vol.44Issue(5)：734-744,11.DOI:10.11972/j.issn.1001-9014.2025.05.011
太赫兹光谱技术结合卷积神经网络鉴别三七产地的研究
Research on the origin identification of Panax notoginseng using terahertz spectroscopy combined with convolutional neural networks
摘要
Abstract
As a valuable Chinese herbal medicine,Panax notoginseng exhibits therapeutic efficacy and quality closely associated with its saponin content,which demonstrates significant geographical variations.To accurately authenticate the geographical origin and ensure medicinal quality,a novel method integrating terahertz precision spectroscopy with a convolutional neural network(CNN)algorithm was proposed.40 Panax notoginseng samples from 4 regions in Yunnan Province,China—Honghe Autonomous Prefecture,Kunming,Qujing,and Wenshan Autonomous Prefecture—were analyzed using terahertz spectroscopy and high-performance liquid chromatography(HPLC).A CNN model was con-structed and trained based on the acquired spectral and chromatographic data to classify the geographical origins.Experi-mental results revealed that the terahertz spectroscopy combined with the CNN model achieved a classification accuracy of 92.5%,significantly outperforming the 82.5%accuracy attained by the HPLC-CNN model.This finding highlights the potential of terahertz spectroscopy in component analysis and geographical traceability of herbal medicines,provid-ing a novel scientific approach for rapid,non-destructive,and precise identification of Chinese medicinal materials.关键词
太赫兹光谱/卷积神经网络/三七/产地鉴别Key words
terahertz spectroscopy/convolutional neural network/Panax notoginseng/origin identification分类
数理科学引用本文复制引用
王俊涛,王胜峰,李秋叶,彭滟..太赫兹光谱技术结合卷积神经网络鉴别三七产地的研究[J].红外与毫米波学报,2025,44(5):734-744,11.基金项目
云南省院士(专家)工作站项目(202505AF350094) （专家）
上海市"科技创新行动计划"技术标准项目(24DZ2200900)Supported by the Yunnan Province Academician(Expert)Workstation Project(202505AF350094) （24DZ2200900）
the Shanghai"Science and Technology Innovation Action Plan"Technical Standard Project(24DZ2200900). （24DZ2200900）
