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基于近红外光谱结合主成分分析-马氏距离快速鉴别生续断和酒续断

[Rapid identification of crude and sweated dipsaci radix based on near-infrared spectroscopy combined with principal component analysis-mahalanobis distance].

作者信息

Du Wei-Feng, Jia Yong-Qiang, Jiang Dong-Jing, Zhang Hao

出版信息

Zhongguo Zhong Yao Za Zhi. 2014 Dec;39(23):4603-7.

PMID:25911809
Abstract

In order to discriminate the crude and sweated Dipsaci Radix correctly and rapidly, the crude and sweated Dipsaci Radix were scanned by the NIR spectrometer, and an identifying model was developed by near infrared spectroscopy combined with principal component-Mahalanobis distance pattern recognition method. The pretreated spectra data of 129 crude samples and 86 sweated ones were analyzed through principal component analysis (PCA). The identifying model was developed by choosing the spectrum for 9 881.46-4 119.20 cm(-1) and "SNV + spectrum + S-G" to the original spectral preprocessing with 14 principal components, and then was verified by prediction set, identifying with 100% accuracy. The rapid identification model of the crude and sweated Dipsaci Radix by NIR is feasible and efficient, and could be used as an assistant means for identifying the crude and sweated Dipsaci Radix.

摘要

为了准确、快速地区分生续断和烫续断,采用近红外光谱仪对生续断和烫续断进行扫描,并结合主成分-马氏距离模式识别方法建立鉴别模型。通过主成分分析(PCA)对129份生品和86份烫制品的预处理光谱数据进行分析。选择9 881.46-4 119.20 cm(-1)的光谱,采用“标准正态变量变换(SNV)+光谱+Savitzky-Golay平滑(S-G)”对原始光谱进行预处理,提取14个主成分建立鉴别模型,然后用预测集进行验证,鉴别准确率达100%。近红外光谱法快速鉴别生续断和烫续断的模型可行、高效,可作为生续断和烫续断鉴别的辅助手段。

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