Zhang Fu-Li, Liu Wei, Mao Jian-Fei, Yin Quan, Lan Qing-Kuo, Liu Qian, Zhang Yi-Rong, Chen Long-Fei, Yang Xiao-Feng, Luo Xiao-Mei, Chen Min, Guo Ling-An, Lei Shao-Rong
Analysis and Determination Center,Sichuan Academy of Agricultural Sciences Chengdu 610066,China Institute of Quality Standard and Testing Technology Research,Sichuan Academy of Agricultural Sciences Chengdu 610066,China.
Tianjin Institute of Agricultural Quality Standard and Testing Technology Tianjin 300192,China.
Zhongguo Zhong Yao Za Zhi. 2021 Jul;46(13):3337-3348. doi: 10.19540/j.cnki.cjcmm.20210316.101.
A high performance liquid chromatography( HPLC) method was established for the fast,and precise determination of ten nucleosides in Fritillariae Cirrhosae Bulbus and its counterfeits. Then multivariate statistical analyses,such as clustering analysis,principal component analysis( PCA),and Fisher' s linear discriminant analysis( LDA),were conducted to establish a discriminant function model for an integrated analysis. The results indicated that data acquisition time of a single sample was shortened within 16 min by the HPLC method. In the range of 5-1 000 mg·kg(-1),the mass concentrations of all nucleosides exhibited good linear relationships with the corresponding peak areas( R2> 0. 999). The spiked recoveries were in the range of 93. 83%-108. 9% with RSDs of0. 12%-1. 3%( n = 5). The limit of quantitation( LOQ) was 0. 98-4. 13 mg·kg(-1). As revealed by the clustering analysis,Fritillariae Cirrhosae Bulbus and the counterfeits could be discriminated into two clusters based on the content of nucleosides. Fisher's LDA could achieve this discrimination,while PCA dimension reduction failed. The accuracy of the discriminant function model established on the screened characteristic indicators reached 97. 5%. The present study proposed a new identification method of Fritillariae Cirrhosae Bulbus with one-dimensional indicators,which is simple,accurate,and reliable. It can provide a scientific basis for further optimizing the identification techniques for Fritillariae Cirrhosae Bulbus and inspiration for quality control strategy development of Chinese medicinal materials.
建立了一种高效液相色谱（HPLC）法，用于快速、准确地测定川贝母及其伪品中的10种核苷。然后进行了聚类分析、主成分分析（PCA）和Fisher线性判别分析（LDA）等多元统计分析，以建立判别函数模型进行综合分析。结果表明，采用HPLC法可将单个样品的数据采集时间缩短至16分钟以内。在5-1000mg·kg-1范围内，所有核苷的质量浓度与相应峰面积均呈现良好的线性关系（R2>0.999）。加标回收率在93.83%-108.9%之间，相对标准偏差（RSD）为0.12%-1.3%（n=5）。定量限（LOQ）为0.98-4.13mg·kg-1。聚类分析结果显示，根据核苷含量，川贝母及其伪品可分为两类。Fisher线性判别分析能够实现这种区分，而主成分分析降维则无法做到。基于筛选出的特征指标建立的判别函数模型准确率达到97.5%。本研究提出了一种基于一维指标的川贝母鉴别新方法，该方法简单、准确、可靠。可为进一步优化川贝母鉴别技术提供科学依据，也为中药材质量控制策略的制定提供思路。
