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Using FTIR spectroscopy and chemometrics for classifying of algerian medicinal plant species

机译:使用傅里叶变换红外光谱和化学计量学对阿尔及利亚药用植物物种进行分类

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© 2021, Society for Plant Research.Abstract: Medicinal plants are globally valuable sources of herbal products, which could vary significantly in contents. The classification, identification and discrimination of these closely-related plants is a crucial task to ensure the quality of the raw materials. In this research, an easy and accurate analytical method for classifying different plants was developed using Fourier transform infrared (FTIR) spectroscopy coupled with chemometrics analysis. Ninety samples of Algerian plants (region of El-Oued) were collected and analyzed using FTIR spectroscopy (4000–500 cm−1), principal component analysis (PCA), and hierarchical clustering (HCA) analysis to determine the differences and similarities between them. Based on FTIR data, the HCA and PCA distributed successfully the samples tested in separate and clear informational groups. Onto light of these results, the developed method could be used for the identification and discrimination of closely-related plant species. Graphic abstract: Figure not available: see fulltext.
机译:© 2021, Society for Plant Research.摘要: 药用植物是全球有价值的草药产品来源,其含量可能有很大差异。对这些密切相关的植物进行分类、识别和区分是确保原材料质量的关键任务。在这项研究中,利用傅里叶变换红外(FTIR)光谱结合化学计量学分析,开发了一种简单而准确的分析方法,用于对不同植物进行分类。收集了90个阿尔及利亚植物(El-Oued地区)样品,并使用FTIR光谱(4000-500 cm−1)、主成分分析(PCA)和分层聚类(HCA)分析进行了分析,以确定它们之间的差异和相似性。根据傅里叶变换红外光谱(FTIR)数据,HCA和PCA成功地将测试的样本分布在单独且清晰的信息组中。基于这些结果,所开发的方法可用于近亲植物物种的鉴定和区分。图文摘要:[图无:见全文。

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