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采用稳定同位素和矿物元素分析结合化学计量学方法鉴别仙茅和光叶仙茅。

Discrimination of Curculigo orchioides Rhizoma and Curculigo glabrescens Rhizoma using stable isotope and mineral element analyses coupled with chemometrics.

机构信息

State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

出版信息

Sci Rep. 2022 Jul 22;12(1):12578. doi: 10.1038/s41598-022-16851-7.

Abstract

Correct species identification is crucial for ensuring the quality, safety, and efficacy of herbal medicine. Market research indicates that Curculigo glabrescens Rhizoma (CGR) was the major counterfeit of the medicine Curculigo orchioides Rhizoma (COR). To accurately discriminate COR and CGR remains a challenge, and it becomes even more difficult when the herbs have been heavily processed into a powder. In this work, combined with high performance liquid chromatography analysis, a novel component in CGR was discovered, and two stable isotopes (N%, C%, δN, δC) and nineteen mineral elements were determined along with multivariate statistical analysis to distinguish the authentic COR samples and counterfeit CGR samples. The results showed that there were significant differences between the mean value of N%, δN and δC according to the botanical origins. In addition, these two species can be differentiated by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) analysis. A linear discriminant analysis (LDA) model with a good classification rate (100%) and cross-validation rate (100%) was established. Hence, stable isotope and mineral element contents combined with chemometrics analysis could be considered as an effective and reliable method for discriminating the source species of COR and CGR.

摘要

正确的物种鉴定对于确保草药的质量、安全性和疗效至关重要。市场研究表明,蒺藜状土沉香(CGR)是土沉香根茎(COR)的主要假冒品。准确地区分 COR 和 CGR 仍然是一个挑战,当草药被加工成粉末时,这个挑战变得更加困难。在这项工作中,结合高效液相色谱分析,发现了 CGR 中的一种新成分,并结合多元统计分析确定了两种稳定同位素(N%、C%、δN、δC)和十九种矿物质元素,以区分正宗的 COR 样品和假冒的 CGR 样品。结果表明,根据植物来源,N%、δN 和 δC 的平均值存在显著差异。此外,这两种物种可以通过主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)分析进行区分。建立了一个具有良好分类率(100%)和交叉验证率(100%)的线性判别分析(LDA)模型。因此,稳定同位素和矿物质元素含量结合化学计量学分析可以被认为是一种有效和可靠的方法,用于区分 COR 和 CGR 的来源物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8983/9307770/d5c873761af7/41598_2022_16851_Fig1_HTML.jpg

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