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Discrimination of the species and authenticity of Rhizoma Coptidis based on stable isotope and multielement fingerprinting and multivariate statistical analysis

机译:基于稳定同位素和多元指纹和多变量统计分析的基于稳定同位素和多变量统计分析的根瘤豆皮菌种类和真实性

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摘要

It is essential to be able to identify the source species and to determine the authenticity of traditional Chinese medicines (TCM) in order to prevent the use of false or inferior medicines. In this work, a stable and reliable method of discriminating among the three source species of Rhizoma Coptidis and checking the authenticity of Rhizoma Coptidis samples was established. The technique involved evaluating stable isotope ratios and the contents of multiple elements in samples along with the use of multivariate statistical techniques. The stable isotope ratios C-13, N-15, H-2, and O-18 and the concentrations of various inorganic elements (Li, B, Na, Mg, Al, P, Si, K, Ca, Ti, Mn, Fe, Cu, Zn, Sr, and Ba) in authentic Rhizoma Coptidis samples from three source species (n=56) and in counterfeit Rhizoma Coptidis samples (n=39) were determined. The results showed that there were significant differences between the samples from different source species according to multivariate statistical analysis. The three species were clearly distinguished using hierarchical cluster analysis (HCA). Employing stepwise linear discriminant analysis (SLDA), a classification model for differentiating the three species was developed, and this model achieved 100% classification accuracy when applied to samples. In addition, authentic samples and counterfeit samples were successfully discriminated using stable isotope and multielement fingerprint analysis and orthogonal projections to latent structures discriminant analysis (OPLS-DA), and OPLS-DA models for checking the authenticity of Rhizoma Coptidis were established and verified. Therefore, stable isotope and multielement analysis combined with multivariate statistical analysis was shown to be a promising method of discriminating among the three source species of Rhizoma Coptidis and of establishing the authenticity of Rhizoma Coptidis samples.
机译:必须能够识别源种物种并确定中药(TCM)的真实性,以防止使用虚假或劣质药物。在这项工作中,建立了一种稳定且可靠的方法,辨别出三种源神经群,并检查Rhizoma CopTidis样品的真实性。该技术涉及评估稳定的同位素比和样品中多元元素的含量以及使用多元统计技术。稳定同位素比率C-13,N-15,H-2和O-18以及各种无机元素的浓度(Li,B,Na,Mg,Al,P,Si,K,Ca,Ti,Mn,确定来自三种源物种(n = 56)和假冒rhizoma coptidis样品(n = 39)的真正的Rhizoma coptidis样品中的Fe,Cu,Zn,Sr和Ba)。结果表明,根据多变量统计分析,来自不同源物种的样品之间存在显着差异。使用分层聚类分析(HCA)清楚地区分三种物种。采用逐步线性判别分析(SLDA),开发了一种用于区分三种物种的分类模型,当应用于样品时,该模型实现了100%的分类准确性。此外,使用稳定的同位素和多元首指纹分析和正交突起成功地区分了真实的样本和假冒样品,并确定了用于检查Rhizoma CopTidis真实性的OPLS-DA模型,并验证。因此,与多变量统计分析相结合的稳定同位素和多元化分析是一种有希望的方法,即源性群体的根茎CopTidis的三种源种类和建立Rhizoma CopTidis样品的真实性。

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