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作 者:李林[1] 李伟东[1,2] 苏联麟 季德 郁红礼[1,2] 史亚博[1] 梅茜 李昱 李铭轩 张玖捌 陆兔林 LI Lin;LI Weidong;SU Lianlin;JI De;YU Hongli;SHI Yabo;MEI Xi;LI Yu;LI Mingxuan;ZHANG Jiuba;LU Tulin(School of Pharmacy,Nanjing University of Chinese Medicine,Nanjing 210023,China;Ministry of Education Engineering Research Center of TCM Processing Regularization and Standardization,Nanjing 210023,China)
机构地区:[1]南京中医药大学药学院,江苏南京210023 [2]中药炮制规范化及标准化教育部工程研究中心,江苏南京210023
出 处:《南京中医药大学学报》2024年第7期653-660,共8页Journal of Nanjing University of Traditional Chinese Medicine
基 金:国家重点研发计划(2023YFC3504200);中药炮制技术传承创新项目(GZY-KJS-2022-050)。
摘 要:当前中药饮片炮制生产存在主观性强、质量不稳定、生产效率低、智能化程度缺乏等问题,为加快推动中药炮制智能化转型升级,深入剖析当前中药饮片构建数字化、智能化生产模式面临的问题与挑战,针对传统中药炮制基础理论缺乏现代科学阐述、在线数字化质量表征技术缺失、生产装备智能化水平较低及优质饮片评价标准缺失等问题,以“新质生产力”形成为导向,提出以科技创新为驱动,通过多学科交叉融合手段深入探讨中药炮制机理,明晰饮片炮制过程“药性-质量”关联规律,应用仿生传感与人工智能实现饮片全息质量表征、云边协同大数据系统助推生产线智能升级,构建“物理-化学-生物”多模态数据融合的优质饮片评价体系,促使中药炮制过程向更高效、精准、可持续的方向发展,推动中药产业可持续发展,为中医药现代化提供理论和实践支撑。The current production of Chinese herbal decoction pieces faces several issues including strong subjectivity,unstable quality,low production efficiency,and a lack of intelligent systems.In order to expedite the intelligent transformation and upgrading of Chinese medicine processing,this paper delves deeply into the problems and challenges encountered in establishing a digital and intelligent production model for Chinese herbal pieces.Addressing the slow progress in fundamental research on traditional Chinese medicine processing mechanisms,the absence of online digital quality characterization techniques,the low level of production equipment intelligence,and the lack of evaluation standards for high-quality decoction pieces,this paper proposes a"New Quality Productive Forces"formation approach driven by technological innovation.Through interdisciplinary integration methods,the paper explores the mechanisms of Chinese medicine processing in depth,clarifies the correlation between the processing procedures and the“medicinal properties-quality”relationship,and employs bionic sensing and artificial intelligence to achieve a holistic quality characterization of decoction pieces.Additionally,the use of cloud-edge collaborative big data systems is proposed to enhance intelligent upgrades of the production lines.The paper also aims to establish a high-quality decoction piece evaluation system integrating“physical-chemical-biological”multimodal data fusion.This approach aims to steer the Chinese medicine processing towards becoming more efficient,precise,and sustainable,thereby promoting high-quality sustainable development of the Chinese herbal decoction industry and providing both theoretical and practical support for the modernization of traditional Chinese medicine.
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