中医药信息2025，Vol.42Issue(11)：20-25,61,7.DOI:10.19656/j.cnki.1002-2406.20251104
集成多模态光学技术与机器学习的功劳叶和枸骨叶智能鉴别研究
Research on Intelligent Discrimination of Mahoniae Folium and Ilicis Cornutae Folium Based on Intergration of Multimodal Optical Technology with Machine Learning
摘要
Abstract
Objective:To discriminate between Mahoniae Folium and Ilicis Cornutae Folium by method of integrating multimodal optical technology with machine learning.Methods:The powder of the two medicinal materials was observed under an optical microscope,the maximum absorption wavelengths of their extracts were obtained using ultra-micro ultraviolet(UV)scanning,and the color characteristics of both the adaxial and abaxial surfaces of the leaves were collected using an electronic eye.A discrimination system was constructed by combining the random forest(RF)and least absolute shrinkage and selection operator(LASSO)models.Results:The epidermal cells of Mahoniae Folium are polygonal,while those of Ilicis Cornutae Folium are subsquare.Mahoniae Folium exhibited UV absorption peaks at 230,277,421,and 662 nm,whereas Ilicis Cornutae Folium showed a single absorption peak at 330 nm.Electronic eye analysis revealed differences in the color characteristics between the adaxial and abaxial surfaces of the two leaves.In the machine learning models,the RF model performed better in distinguishing the adaxial surfaces,while the LASSO model was more effective in discriminating the abaxial surfaces.Conclusion:This study established a multimodal discrimination system integrating the four-dimensional combination of microscopy,spectroscopy,electronic eye,and machine learning,revealing the characteristic differences between Mahoniae Folium and Ilicis Cornutae Folium.The intelligent discrimination method provides technical support for the quality control and safe use of traditional Chinese medicinal materials.关键词
功劳叶/枸骨叶/鉴定/电子眼/机器学习/超微量紫外扫描Key words
Mahoniae Folium/Ilicis Cornutae Folium/Identification/Electronic eye/Machine learning/Ultra-micro UV scanning引用本文复制引用
孙睿舶,陈月华,王一帆,张慧,康廷国,宋慧鹏..集成多模态光学技术与机器学习的功劳叶和枸骨叶智能鉴别研究[J].中医药信息,2025,42(11):20-25,61,7.基金项目
辽宁省科技计划联合计划项目(2024-MSLH-297) （2024-MSLH-297）
沈阳市科技人才专项项目U35拔尖青年项目(RC230846) （RC230846）
辽宁省教育厅高校基本科研项目储备项目(2024-JYTCB-080) （2024-JYTCB-080）
