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[高光谱成像技术鉴别葛根与葛茎]

[Hyperspectral imaging technology distinguishes between Puerariae Lobatae Radix and Puerariae Lobatae Caulis].

作者信息

Zhang Lei, Zhao Yu-Ping, Pang Kun-Kun, Zhou Song-Bin, Liu Yi-Sen

机构信息

School of Pharmacy,Jiangxi University of Chinese Medicine Nanchang 330004,China China Academy of Chinese Medical Sciences Beijing 100700,China.

Guangdong Institute of Intelligent Manufacturing,Guangdong Academy of Sciences Guangzhou 510070,China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2023 Aug;48(16):4362-4369. doi: 10.19540/j.cnki.cjcmm.20230515.103.

Abstract

Puerariae Lobatae Radix, the dried root of Pueraria lobata, is a traditional Chinese medicine with a long history. Puerariae Lobatae Caulis as an adulterant is always mixed into Puerariae Lobatae Radix for sales in the market. This study employed hyperspectral imaging(HSI) to distinguish between the two products. VNIR lens(spectral scope of 410-990 nm) and SWIR lens(spectral scope of 950-2 500 nm) were used for image acquiring. Multi-layer perceptron(MLP), partial least squares discriminant analysis(PLS-DA), and support vector machine(SVM) were employed to establish the full-waveband models and select the effective wavelengths for the distinguishing between Puerariae Lobatae Caulis and Puerariae Lobatae Radix, which provided technical and data support for the development of quick inspection equipment based on HSI. The results showed that MLP model outperformed PLS-DA and SVM models in the accuracy of discrimination with full wavebands in VNIR, SWIR, and VNIR+SWIR lens, which were 95.26%, 99.11%, and 99.05%, respectively. The discriminative band selection(DBS) algorithm was employed to select the effective wavelengths, and the discrimination accuracy was 93.05%, 98.05%, and 98.74% in the three different spectral scopes, respectively. On this basis, the MLP model combined with the effective wavelengths within the range of 2 100-2 400 nm can achieve the accuracy of 97.74%, which was close to that obtained with the full waveband. This waveband can be used to develop quick inspection devices based on HSI for the rapid and non-destructive distinguishing between Puerariae Lobatae Radix and Puerariae Lobatae Caulis.

摘要

葛根,为野葛的干燥根,是一种历史悠久的传统中药。市场上常将葛根藤茎作为掺伪品混入葛根中销售。本研究采用高光谱成像(HSI)技术区分这两种产品。使用可见近红外(VNIR)镜头(光谱范围为410 - 990 nm)和短波红外(SWIR)镜头(光谱范围为950 - 2500 nm)采集图像。采用多层感知器(MLP)、偏最小二乘判别分析(PLS - DA)和支持向量机(SVM)建立全波段模型,并选择用于区分葛根藤茎和葛根的有效波长,为基于HSI的快速检测设备的开发提供技术和数据支持。结果表明,在VNIR、SWIR和VNIR + SWIR镜头全波段的判别准确率方面,MLP模型优于PLS - DA和SVM模型,分别为95.26%、99.11%和99.05%。采用判别波段选择(DBS)算法选择有效波长,在三种不同光谱范围内的判别准确率分别为93.05%、98.05%和98.74%。在此基础上,结合2100 - 2400 nm范围内有效波长的MLP模型可达到97.74%的准确率,接近全波段所获得的准确率。该波段可用于开发基于HSI的快速检测装置,以快速无损地区分葛根和葛根藤茎。

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