基于人工智能感官技术的中药质量控制方法研究进展

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中文摘要：为深入推进和实现中医药现代化，建立一种既尊重中医理论又顺应时代发展的中药材质量控制体系尤为重要。自古以来，中药材的色、气、味等外观性状是用于辨别其真伪及质量好坏的重要标准之一。目前对中药外观性状的研究逐渐从主观的"辨状论质"转向了能够提供客观数据支持的人工智能感官技术，根据模拟感官的不同，智能感官技术又可以分为电子眼、电子鼻、电子舌、电子耳和电子皮肤等。本文梳理了5种人工智能感官技术的原理以及在中药质量评价中的应用，介绍了基于智能感官的中药质量控制体系的研究现状和未来发展趋势，以期为中药材质量控制体系的升级和现代化发展提供参考。

外文标题：Research progress on quality control methods of traditional Chinese medicine based on artificial intelligence sense technology

外文摘要：In order to further promote and achieve the modernization of traditional Chinese medicine,it is particularly important to establish a quality control system of traditional Chinese medicine which not only respects the theory of traditional Chinese medicine but also conforms to the development of the times.Since ancient times,the appearance character of traditional Chinese medicine,such as color,gas and taste,is one of the important criteria to distinguish its authenticity and quality.At present,the research on the appearance of traditional Chinese medicine has gradually shifted from subjective"evaluation of quality from appearance traits"to artificial intelligence sensory technology which can provide objective data support.According to the different simulated senses,intelligent sensory technology can be divided into electronic eyes,electronic nose,electronic tongue,electronic ear and electronic skin.This paper combs the principles of five kinds of artificial intelligence sensory technology and their application in the quality evaluation of traditional Chinese medicine,introduces the research status and future development trend of the quality control system of traditional Chinese medicine based on intelligent sense,in order to provide a reference for the upgrade and modern development of the quality control system of traditional Chinese medicine.

外文关键词：

Intelligence senseAppearance characterQuality evaluation through character identificationQuality controlQuality evaluationIdentification of Chinese traditional medicineComponent detectionDeep learningMulti-source information fusionImage recognitio

作者：

江如蓝、雷结语、陈文礼、徐新军

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作者单位：

中山大学药学院(广州 510006)

中山大学附属第五医院药学部(广东珠海 519000)

关键词：

智能感官外观性状辨状论质质量控制品质评价中药识别成分检测深度学习多源信息融合图像识别技术人工智能

出版年：

2024

DOI：

10.12173/j.issn.2097-4922.202409004