Department of Physics, Banaras Hindu University, Varanasi, India.
Pharm Biol. 2010 Feb;48(2):134-41. doi: 10.3109/13880200903059388.
Herbal medicines play an important role in modern human life and have significant effects on treating diseases; however, the quality and safety of these herbal products has now become a serious issue due to increasing pollution in air, water, soil, etc. The present study proposes Fourier transform infrared spectroscopy (FTIR) along with the statistical method principal component analysis (PCA) to identify and discriminate herbal medicines for quality control. Herbal plants have been characterized using FTIR spectroscopy. Characteristic peaks (strong and weak) have been marked for each herbal sample in the fingerprint region (400-2000 cm(-1)). The ratio of the areas of any two marked characteristic peaks was found to be nearly consistent for the same plant from different regions, and thus the present idea suggests an additional discrimination method for herbal medicines. PCA clusters herbal medicines into different groups, clearly showing that this method can adequately discriminate different herbal medicines using FTIR data. Toxic metal contents (Cd, Pb, Cr, and As) have been determined and the results compared with the higher permissible daily intake limit of heavy metals proposed by the World Health Organization (WHO).
草药在现代人类生活中扮演着重要的角色，对治疗疾病有显著的效果；然而，由于空气、水、土壤等污染的增加，这些草药产品的质量和安全性现在已经成为一个严重的问题。本研究提出了傅里叶变换红外光谱（FTIR）结合统计方法主成分分析（PCA），以识别和区分草药，进行质量控制。使用 FTIR 光谱对草药植物进行了特征描述。在指纹区（400-2000 cm(-1))对每个草药样本的特征峰（强峰和弱峰）进行了标记。结果发现，来自不同地区的同一植物的两个标记特征峰的面积比几乎保持一致，因此本研究提出了一种用于草药鉴别的附加区分方法。PCA 将草药分为不同的组，清楚地表明，该方法可以使用 FTIR 数据充分区分不同的草药。对有毒金属（Cd、Pb、Cr 和 As）的含量进行了测定，并将结果与世界卫生组织（WHO）提出的重金属每日允许摄入量上限进行了比较。
