Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.

中文翻译：

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近红外和中红外光谱结合提高黄芪活性成分测定效率

黄芪是医药界广受欢迎的草药，多项研究证实其具有显着的药用价值。本研究的目的是使用近红外光谱、中红外光谱及其组合快速测定黄芪中的主要活性成分（黄芪甲苷和总黄芪甲苷）。应用偏最小二乘回归建立定量校准分析模型。根据预测结果，组合近红外和中红外光谱比单独使用近红外和中红外模型表现更好。黄芪甲苷和黄芪总苷预测的决定系数和均方根误差分别为0.998、0.025和0.998、0.098。