首页> 外文期刊>Spectrochimica acta, Part A. Molecular and biomolecular spectroscopy >Fourier transform infrared spectroscopy combined with chemometrics for discrimination of Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar
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Fourier transform infrared spectroscopy combined with chemometrics for discrimination of Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar

机译:傅里叶变换红外光谱结合化学计量学来鉴别姜黄,姜黄和姜黄

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摘要

Turmeric (Curcuma longa), Java turmeric (Curcuma xanthorrhiza) and cassumunar ginger (Zingiber cassumunar) are widely used in traditional Indonesian medicines (jamu). They have similar color for their rhizome and possess some similar uses, so it is possible to substitute one for the other. The identification and discrimination of these closely-related plants is a crucial task to ensure the quality of the raw materials. Therefore, an analytical method which is rapid, simple and accurate for discriminating these species using Fourier transform infrared spectroscopy (FTIR) combined with some chemometrics methods was developed. FTIR spectra were acquired in the mid-IR region (4000-400 cm(-1)). Standard normal variate, first and second order derivative spectra were compared for the spectral data. Principal component analysis (PCA) and canonical variate analysis (CVA) were used for the classification of the three species. Samples could be discriminated by visual analysis of the FTIR spectra by using their marker bands. Discrimination of the three species was also possible through the combination of the pre-processed FTIR spectra with PCA and CVA, in which CVA gave clearer discrimination. Subsequently, the developed method could be used for the identification and discrimination of the three closely-related plant species. (C) 2014 Elsevier B.V. All rights reserved.
机译:姜黄(Curcuma longa),爪哇姜黄(Curcuma xanthorrhiza)和木薯姜(Zingiber cassumunar)被广泛用于印尼传统药物(jamu)中。它们的根茎颜色相似,用途相似,因此可以用一种替代另一种。对这些密切相关的植物进行识别和区分是确保原材料质量的关键任务。因此,开发了一种快速,简单,准确的分析方法,该方法使用傅里叶变换红外光谱(FTIR)结合一些化学计量学方法来鉴别这些物种。 FTIR光谱是在中红外区域(4000-400 cm(-1))中获得的。比较标准正态变量,一阶和二阶导数光谱的光谱数据。主成分分析(PCA)和规范变量分析(CVA)用于这三个物种的分类。可以通过使用标记带对FTIR光谱进行视觉分析来区分样品。通过将预处理的FTIR光谱与PCA和CVA相结合,还可以对这三种物质进行区分,其中CVA可以提供更清晰的区分。随后,开发的方法可用于识别和区分三种密切相关的植物物种。 (C)2014 Elsevier B.V.保留所有权利。

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