选用适宜的中药提取工艺是中药制剂制备过程的关键环节，也是行业人员关注的热点。近年来，中药提取原理不断创新，技术不断完善发展，新思路与新方法不断涌现，面对着各式各样的中药提取方法，如何针对中药多成分群的特点，选择或创新适宜的提取方法高效提取中药有效成分是经常遇到的难题。因此亟需对目前中药提取工艺的研究现状进行梳理，对中药多成分间相互作用特征进行探讨，并提出一套适应多成分目标优化提取方法。基于此，引进超分子化学，结合超分子"印迹模板"理论，从"分子社会"间作用层面上提出适宜中药有效成分特点的中药定性定量提取的理论、方法与技术，旨在推动中药提取工艺研究的发展，促进中药制剂生产工艺的进步，加快实现中药制药现代化进程。

The selection of appropriate extraction technology of Chinese materia medica (CMM) is the key phase in the preparation process of CMM preparation, and it is also the hot spot the industry personnel concerned about. In recent years, the extraction principle of CMM has been innovated, the technology has been improved and new ideas and methods have emerged. In the face of different kinds of extraction methods of CMM, how to select or innovate the appropriate extraction method to extract the effective components of CMM is a common difficult problem in accordance with the characteristics of multi-component groups of CMM. Therefore, it is urgent to sort out the extant situation of CMM, discuss the characteristics of interaction between multi-components of CMM and propose a set of optimization extraction methods adapted to multi-component objectives. Based on the above discussion, this paper firstly summarizes the present situation of CMM extraction, and introduces supramolecular chemistry, combined with supramolecular imprinting templates theory to put forward the theory, the method and the technology of qualitative and quantitative extraction of Chinese medicines which is suitable for the characteristics of active ingredients of Chinese medicines from the perspective of molecular social interaction. The aim is to promote the development of the extraction technology of CMM, make progress in the production technology of CMM preparations, and accelerate the process of modernization of CMM pharmaceuticals.

国家自然科学基金项目（81573691）；国家自然科学基金项目（81703824）；国家自然科学基金项目（81874344）；国家自然科学基金项目（81803729）；湖南省自然科学基金项目（2017JJ3236）；湖南省自然科学基金项目（2016JJ4065）；湖南省中医药科研计划重点项目（201612）；湖南省教育厅科学研究重点项目（16A162）；湖南省教育厅基金项目（17B200）；中药成药性与制剂制备湖南省重点实验室开放基金（201705）；2011协同创新中心资助