多波长融合柱指纹技术结合化学计量学分析评价栀子根的整体品质,Analytical Methods

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多波长融合柱指纹技术结合化学计量学分析评价栀子根的整体品质
Analytical Methods ( IF 2.7 ) Pub Date : 2022-04-21 , DOI: 10.1039/d2ay00358a
Hui Zhang ₁ , Rui Bai ₁ , Yameng Wu ₁ , Jielin Zeng ₁ , Huijie Jiang ₁ , Xiaoyi Liu ₁ , Hongxu Zhang ₁ , Jizhong Yan ₁

Affiliation

色谱指纹图谱为中药质量评价提供了有效的技术手段。本工作通过智能选择不同波长的色谱峰，获得了一种新颖的多波长融合柱指纹图谱，该指纹图谱显示了相同保留时间下最佳波长下的最大峰面积信息。在这里，栀子根被选为样品。栀子根的多波长融合柱指纹图由五个波长（203 nm、210 nm、238 nm、250 nm和330 nm）构建。使用峰容量、峰分离度、共同峰的数量和相似性来评估性能。19批栀子花基于多波长融合柱指纹结合化学计量学，将根分为三类，来源类别有明显区别，包括层次聚类分析和主成分分析。通过正交偏最小二乘判别分析筛选导致批次间差异的九个变异标记。本研究表明，基于多波长融合柱指纹图谱的分类模型优于单波长图谱模型，融合指纹图谱适用于中药的鉴定和质量控制，其化学成分信息更全面、更准确的预测能力。

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Multi-wavelength fusion column fingerprint technology combined with chemometric analysis to evaluate the overall quality of the Gardenia jasminoides root

Chromatographic fingerprinting provides effective technical means for quality evaluation of traditional Chinese medicine. In this work, a novel multi-wavelength fusion column fingerprint was obtained by intelligent selection of chromatographic peaks from different wavelengths, which displayed the maximum peak area information under the optimal wavelength at the same retention time. Here, the Gardenia jasminoides root was selected as a sample. The multi-wavelength fusion column fingerprint graph of the Gardenia jasminoides root was constructed from five wavelengths (203 nm, 210 nm, 238 nm, 250 nm and 330 nm). The peak capacity, peak resolution, the number of common peaks and similarity were used to evaluate the performance. The 19 batches of Gardenia jasminoides root were classified into three categories with clear distinction between origin categories based on the multi-wavelength fusion column fingerprint combined with chemometrics, including hierarchical cluster analysis and principal component analysis. Nine markers of variation that led to differences between batches were screened by orthogonal partial least squares discriminant analysis. This study demonstrated that the classification model based on the multi-wavelength fusion column fingerprint was better than that on a single-wavelength, and the fusion fingerprint was suitable for the identification and quality control of traditional Chinese medicine with more comprehensive chemical composition information and more accurate prediction ability.

更新日期：2022-04-21

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