This study used two types of analyses and statistical calculations on powdered samples of Polygala root (PR) and Senega root (SR): (1) determination of saponin content by an independently developed quantitative analysis of tenuifolin content using a flow reactor, and (2) near-infrared spectroscopy (NIR) using crude drug powders as direct samples for metabolic profiling. Furthermore, a prediction model for tenuifolin content was developed and validated using multivariate analysis based on the results of (1) and (2). The goal of this study was to develop a rapid analytical method utilizing the saponin content and explore the possibility of quality control through a wide-area survey of crude drugs using NIR spectroscopy. Consequently, various parameters and appropriate wavelengths were examined in the regression analysis, and a model with a reasonable contribution rate and prediction accuracy was successfully developed. In this case, the wavenumber contributing to the model was consistent with that of tenuifolin, confirming that this model was based on saponin content. In this series of analyses, we have succeeded in developing a model that can quickly estimate saponin content without post-processing and have demonstrated a brief way to perform quality control of crude drugs in the clinical field and on the market.

Graphical abstract

中文翻译：

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利用水解连续流系统改进细叶草苷的定量分析，建立基于近红外光谱的含量预测模型

本研究对远志 (PR) 和远志 (SR) 粉末样品进行了两种类型的分析和统计计算：(1) 使用流动反应器，通过独立开发的细叶草苷含量定量分析来测定皂苷含量，以及 (2) ) 近红外光谱 (NIR)，使用生药粉末作为代谢分析的直接样品。此外，基于（1）和（2）的结果，使用多变量分析开发并验证了细叶草苷含量的预测模型。本研究的目的是开发一种利用皂苷含量的快速分析方法，并探索利用近红外光谱对生药进行大范围调查进行质量控制的可能性。因此，在回归分析中检查了各种参数和合适的波长，并成功开发了具有合理贡献率和预测精度的模型。在这种情况下，对模型有贡献的波数与细叶草苷的波数一致，证实该模型是基于皂苷含量的。在这一系列的分析中，我们成功开发了一种无需后处理即可快速估算皂苷含量的模型，并展示了一种在临床领域和市场上进行生药质量控制的简单方法。

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