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Traditional Chinese medicine clustering analysis based on near-infrared spectroscopy

机译:基于近红外光谱的中药聚类分析

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摘要

The Chinese materia medica is classified into several categories according to the major treatment function by experience in the traditional Chinese Medicine. This classification should have material basis. As the medicines have so many ingredients, it is hard to only use the chemical methods and biochemistry methods to analyze the Chinese materia medica. Near infrared spectroscopy is a nondestructive testing method and it can provide structural information of organic molecules which are the main effective components of the Chinese materia medica. We firstly get the NIR spectrum of some Chinese medicine, and then use LSA technology to process the data and cluster them. The result is quite coincident with the Chinese traditional medicine classification.
机译:根据中医经验,中国本草的主要治疗功能是若干类别。此分类应具有重要的基础。随着药物具有如此多的成分,很难仅使用化学方法和生物化学方法来分析中药。近红外光谱是一种非破坏性的测试方法,它可以提供有机分子的结构信息,这些有机分子是中国本草的主要有效组成部分。我们首先获得一些中医的NIR谱,然后使用LSA技术来处理数据并集群。结果与中国传统医学分类相当巧合。

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