首页> 外国专利> METHOD FOR CHEMICAL PATTERN RECOGNITION OF AUTHENTICITY OF TRADITIONAL CHINESE MEDICINE CHINESE HONEYLOCUST SPINE BASED ON NEAR-INFRARED SPECTROSCOPY

METHOD FOR CHEMICAL PATTERN RECOGNITION OF AUTHENTICITY OF TRADITIONAL CHINESE MEDICINE CHINESE HONEYLOCUST SPINE BASED ON NEAR-INFRARED SPECTROSCOPY

机译:基于近红外光谱的中药大花C子花药材化学模式识别方法

摘要

Provided is a method for chemical pattern recognition of the authenticity of the traditional Chinese medicine Chinese honeylocust spine based on near-infrared spectroscopy. The method uses the combination of a near-infrared spectroscopy acquisition method, a first-stage derivative pretreatment method and a successive projection algorithm, a Kennard-Stone algorithm and a marching algorithm to perform chemical pattern recognition on the authenticity of the traditional Chinese medicine Chinese honeylocust spine, such that the results of the pattern recognition method are accurate and reliable, and Chinese honeylocust spine and counterfeits thereof can be accurately distinguished. The present application is the first to establish a method for the chemical pattern recognition of the quality of Chinese honeylocust spine based on near-infrared spectroscopy, can accurately distinguish between Chinese honeylocust spine and counterfeits thereof, and provides scientific basis for the quality evaluation of Chinese honeylocust spine.
机译:提供了一种基于近红外光谱的中药刺槐真实性化学模式识别方法。该方法结合近红外光谱采集方法,一阶导数预处理方法和逐次投影算法,Kennard-Stone算法和行进算法的组合,对中药的真伪进行化学模式识别。模式识别方法的结果准确可靠,可以准确地区分中国的刺槐及其伪造品。本申请是第一个建立基于近红外光谱的中国刺槐品质化学模式识别方法,可以准确地区分中国刺槐及其伪造品,为中国刺槐的质量评价提供科学依据。刺槐。

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